Spatial Data

**Set goals.** **Be accountable for them.** **Move your life forward with purpose.** Our goal is to cause greatness by mentoring men to live with excellence and, as mature masculine leaders, create successful families, careers and communities. If you have the desire to work on being the man that your legacy demands that you be (which means being the best you can be, we can work on what your legacy demands with you later) and the man you always wanted to be then we look forward to you attending. Our group is part of Mentor Discover Inspire (MDI). This group meets Mondays, North of Finch Avenue, usually indoors, outdoors in the summer but occasionally on Zoom. To confirm this week's location, please rsvp to Ricardo, call/text (647) 880-1488, or email ricardophilip@hotmail.com From MDI website[: https://goo.gl/3DQ6](https://goo.gl/3DQ6aY)aY From Toronto Sta[r: https://goo.gl/oDH](https://goo.gl/oDH3uX)3uX Regular attendees do not always RSVP, expect 6-8 men to be present.

**‍IWD Data Challenge 2026** R‑Ladies Ottawa is excited to host our fourth annual data challenge in celebration of International Women’s Day. This year, we invite you to explore openly available data connected to your community. That could be Ottawa, Gatineau, another part of the National Capital Region, or any place in the world that feels meaningful to you. As a starting point, we encourage you to browse datasets available through [Open Ottawa](https://open.ottawa.ca/). Although the challenge is hosted by R‑Ladies Ottawa, you’re welcome to use any programming language or visualization tool you prefer. **How to Participate** You can participate individually or in teams of up to five people. Submissions are due on **Friday, April 3rd**, and you’re free to choose the format that best showcases your work. It could be a Quarto document, an image, a webpage, a YouTube video, or something else entirely. **Submission Options** * **Option 1:** If you're comfortable with GitHub and Quarto, you can create a pull request on [our repository](https://github.com/RLadies-Ottawa/RLadies-Ottawa.github.io) and add your project under the Submissions section of [this page](https://rladies-ottawa.github.io/events/2026/iwd.html). * **Option 2:** If GitHub isn’t your thing, simply email us (ottawa[at]rladies.org) a link to your submission materials and we’ll add it to the website for you. Once we've received your entry, we'll reach out and ask whether you'd like to present your work at the showcase event. Presenting is completely optional. **After the Challenge: Showcase Event** Once the submission deadline has passed, we’ll host a hybrid showcase event where participants can present their projects and celebrate the creativity of the community! **Co‑Working Session** To help you get started, we’re hosting a casual co‑working evening on **Monday, March 9th** in honour of International Women’s Day. This session offers a collaborative, low‑pressure environment where you can work on your project, ask questions, and get support from others in the community. No previous programming experience is required, and experienced programmers will be available to help you get started or get unstuck. **Event Details** This event is **free to attend** and will be offered in a hybrid format, with limited in-person capacity. If you RSVP for an in-person spot, please do so only if you're able to attend in person. Bayview Yards is located just a stone's throw away from the Bayview station. There is also a free parking lot for those who are driving. You can find us in the Training Room, located on the second floor of the building. **What to Bring** Please bring your laptop, charger, and any project ideas you'd like to explore! We also recommend installing an IDE (e.g., RStudio, VS Code) ahead of time, but we're happy to help you get set up if needed. **Community Guidelines** Please note that the mission of R-Ladies is to increase gender diversity in the R community. The data challenge and co-working session are intended to provide a safe space for women and gender minorities. We ask for male allies to be invited by and accompanied by a woman or gender minority. **Special Thanks** We are grateful to be part of the Bayview Yards Meetup Program and extend our thanks to Bayview Yards for generously providing the venue space.

Join the Bitcoin Bay meetup to Learn, Build and Connect about Bitcoin & Crypto with Toronto's oldest Bitcoin community! Stay tuned for future updates and meetup announcements.

**Welcome to Miss Bachata & Miss Salsa!** As the winter season wraps our city in its gentle sparkle, our community shines even brighter. This time of year reminds us how meaningful it feels to step into a space filled with warmth, laughter, music, and friendly faces—exactly the kind of energy we create together every Monday. While the world outside cools down, our dance floor becomes a cozy haven of joy, connection, and beautifully shared moments. Every Monday feels like a touch of winter magic… only with a whole lot more rhythm. My objective has always been to create a different kind of social gathering—one that is open, non-judgmental, non-salacious, and safe. A place where you can meet people just like you, where socializing and dancing come together to help build community and tear down the walls that separate us. Here, we make new friends, feel a sense of belonging, and enjoy the calmness that comes from knowing we are in a safe and welcoming space. Many times, I have been asked, “Why host an event on Monday night?” Many people escape on the weekend and dread Mondays when they return to work. I believe that if you dance and socialize on a Monday, you infuse your week with joy and positive energy, giving your life balance and helping you face your challenges with enthusiasm and confidence. We’re also thrilled to announce that our trial of advanced Bachata lessons, which began last September, has been a resounding success! Building on this momentum, we’re excited to offer an enhanced schedule for 2025. Our dance evenings will now feature three hours of classes: one hour of beginner to intermediate Bachata, one hour of advanced Bachata, and one hour of beginner to intermediate Salsa. As always, the entrance fee remains $15 for a night of 2 lessons and social dancing. For those interested in the advanced Bachata lessons, there will be an additional $5 fee. Here’s our updated schedule: **Miss Bachata – Main Ballroom** ❄️ 7:00 pm – 8:00 pm: Beginner to Intermediate Bachata Lesson (No partner required) ❄️ 8:00 pm – 12:00 am: Social Dancing **Miss Salsa – Round Room** ❄️ 7:00 pm – 8:00 pm: Advanced Bachata Lesson (+$5) NEW ❄️ 8:00 pm – 9:00 pm: Beginner to Intermediate Salsa Lesson ❄️ 9:00 pm – 12:00 am: Social Dancing **Additional Details:** ❄️ Free Parking ❄️ Full Bar (Free Water, Beer: $5.75) Over the past decade, organizing Latin dancing events in Mississauga has been a labor of love. Our mission has always been to foster a sense of community, proving that the connections we share are far stronger than the differences that divide us. Loneliness is a growing concern, with over half of U.S. adults and many Canadians experiencing its effects. The COVID-19 pandemic has only heightened this issue. Harvard University's long-term study on happiness, which began in 1938, highlights the detrimental impact of loneliness on health. People with strong social connections experience slower mental and physical decline and greater overall happiness compared to those who are isolated. Here are some key findings from the study: • Close ties help delay mental and physical decline more than money, fame, social class, IQ, or genetics. • Relationship satisfaction is a better predictor of aging well than cholesterol levels in middle age. • A strong sense of community improves memory function. • Loneliness can be as harmful to health as smoking or alcoholism. There’s hope! Strengthening our relationships and supporting community initiatives can build healthier, happier lives. Miss Bachata & Miss Salsa provides a wonderful opportunity to make new friends, expand your social circle, and enjoy a safe, welcoming, authentic environment. Bring your open heart and a smile, and we’ll take care of the rest. **Cheers to building an authentic, joyful, and connected community!** **Anna G.** https://www.meetup.com/LatinDanceMeetup https://www.facebook.com/groups/1871491806494168/ https://www.facebook.com/EventsByAnnaG

Join us for ESL Cafe on Mondays nights at St Paul's Bloor Street. We have groups for all levels of English: Basic English, Beginner, Intermediate and Advanced. At ESL Cafe, you can practice English conversation, drink coffee (or tea) and have lots of fun meeting other interesting people!!

We are a men's group where you can expect a frank and confidential space to speak personally, engage in interesting conversations or get support for your personal goals. This new team meets weekly on the East side of Toronto. Our group is part of Mentor Discover Inspire (MDI). This group prefers to meet outdoors but occasionally on Zoom. Guests are welcome but it's pretty casual so make sure you are expected in case we move locations. You can rsvp via meetup or call Tim @ 416-278-3058 to confirm this week’s location. The MDI Mission: To cause greatness by mentoring men to live with excellence and, as mature masculine leaders, create successful families, careers and communities. From MDI website[: https://goo.gl/3DQ6](https://goo.gl/3DQ6aY)aY From Toronto Sta[r: https://goo.gl/oDH](https://goo.gl/oDH3uX)3uX

We're excited to bring the community together for an evening of learning and connection! Come support your fellow developers, learn something new, and meet others who are passionate about search, observability, and security. **Date and Time:** Thursday, March, 12th from 5:30-7:30 pm **Agenda:** * 5:30 pm: Doors open; say hi, grab a seat, and eat some food. * 6:00 pm: Building Agentic AI on ELK stack, by **Gleb Gadyatskiy**, Principal Engineer at PointClickCare * 6:30 pm: Q&A * 6:40 pm: "One Does Not Simply Query a Stream", by **Viktor Gamov** is a Principal Developer Advocate at Confluent * 7:10 pm: Q&A * 7:20-7:30 pm: Networking & refreshments **Talk Abstracts:** **"Building Agentic AI on ELK stack"** Story how I built AI Agent using pure ELK + LLM to automate incidents investigations 1. What is AI Agent, ELK and why I decided to build AI Agent using only ELK 2. Building simple AI Agent using pure Logstash pipelines 3. Building advance AI Agent using Ruby plugin 4. Connecting AI Agent to Elastic AI Assistant **Gleb Gadyatskiy** is a Principal Engineer at PointClickCare. He is a part of the Infrastructure Architecture team and describes his role as “the first line in attack and the last line in defense”. Gleb provides support for all teams to aggregate logs from various apps into Elasticsearch, use AI to get insights from logs and actively promotes Elastic stack in PointClickCare. Gleb enjoys outdoor traveling with his wife and two kids in a camper. **"One Does Not Simply Query a Stream"** Streaming data with Apache Kafka® has become the backbone of modern applications. While streams are ideal for continuous data flow, they lack built-in querying capabilities. Unlike databases with indexed lookups, Kafka’s append-only logs are designed for high-throughput processing—not for on-demand queries. This necessitates additional infrastructure to query streaming data effectively. Traditional approaches replicate stream data into external stores: relational databases like PostgreSQL for operational queries, object storage like S3 accessed via Flink, Spark, or Trino for analytics, and Elasticsearch for full-text search and log analytics. Each serves a purpose—but they also introduce silos, schema mismatches, freshness issues, and complex ETL pipelines that increase system fragility. In this session, we’ll explore solutions that aim to unify operational, analytical, and search workloads across real-time data. We'll demonstrate stream processing with Kafka Streams, Apache Flink®, and SQL engines; real-time analytics with Apache Pinot®; search capabilities with Elasticsearch; and modern lakehouse approaches using Apache Iceberg® with Tableflow to represent Kafka topics as queryable tables. While there's no one-size-fits-all solution, understanding the tools and trade-offs will help you design more robust and flexible architectures. **Viktor Gamov** is a Principal Developer Advocate at Confluent, founded by the original creators of Apache Kafka®. With a rich background in implementing and advocating for distributed systems and cloud-native architectures, Viktor excels in open-source technologies. He is passionate about assisting architects, developers, and operators in crafting systems that are not only low in latency and scalable but also highly available. As a Java Champion and an esteemed speaker, Viktor is known for his insightful presentations at top industry events like JavaOne, Devoxx, Kafka Summit, and QCon. His expertise spans distributed systems, real-time data streaming, JVM, and DevOps. Viktor has co-authored "Enterprise Web Development" from O'Reilly and "Apache Kafka® in Action" from Manning. Follow Viktor on X - @gamussa to stay updated with Viktor's latest thoughts on technology, his gym and food adventures, and insights into open-source and developer advocacy. **Location:** Improving Office 171 East Liberty St Unit 235 Toronto, Ontario M6K 3P6 **Directions (171 E Liberty St - Suite 235)** **By transit** Streetcars 504 and 509 both travel close to the office (less than 10 minute walk to the office from either), the lakeshore GO train is also a 5 minute walk from the office. **By car/parking** On street parking is available - there are a handful of paid parking spots directly in front of the entrance - with a large city parking lot across the street. **Entrance** The entrance to the office is beside the Bulk Barn entrance facing Hannah Street. There is an Improving logo on the door.

We're excited to bring the community together for an evening of learning and connection! Come support your fellow developers, learn something new, and meet others who are passionate about search, observability, and security. **Date and Time:** Thursday, March, 12th from 5:30-7:30 pm **Agenda:** * 5:30 pm: Doors open; say hi, grab a seat, and eat some food. * 6:00 pm: Building Agentic AI on ELK stack, by **Gleb Gadyatskiy**, Principal Engineer at PointClickCare * 6:30 pm: Q&A * 6:40 pm: "One Does Not Simply Query a Stream", by **Viktor Gamov** is a Principal Developer Advocate at Confluent * 7:10 pm: Q&A * 7:20-7:30 pm: Networking & refreshments **Talk Abstracts:** **"Building Agentic AI on ELK stack"** Story how I built AI Agent using pure ELK + LLM to automate incidents investigations 1. What is AI Agent, ELK and why I decided to build AI Agent using only ELK 2. Building simple AI Agent using pure Logstash pipelines 3. Building advance AI Agent using Ruby plugin 4. Connecting AI Agent to Elastic AI Assistant **Gleb Gadyatskiy** is a Principal Engineer at PointClickCare. He is a part of the Infrastructure Architecture team and describes his role as “the first line in attack and the last line in defense”. Gleb provides support for all teams to aggregate logs from various apps into Elasticsearch, use AI to get insights from logs and actively promotes Elastic stack in PointClickCare. Gleb enjoys outdoor traveling with his wife and two kids in a camper. **"One Does Not Simply Query a Stream"** Streaming data with Apache Kafka® has become the backbone of modern applications. While streams are ideal for continuous data flow, they lack built-in querying capabilities. Unlike databases with indexed lookups, Kafka’s append-only logs are designed for high-throughput processing—not for on-demand queries. This necessitates additional infrastructure to query streaming data effectively. Traditional approaches replicate stream data into external stores: relational databases like PostgreSQL for operational queries, object storage like S3 accessed via Flink, Spark, or Trino for analytics, and Elasticsearch for full-text search and log analytics. Each serves a purpose—but they also introduce silos, schema mismatches, freshness issues, and complex ETL pipelines that increase system fragility. In this session, we’ll explore solutions that aim to unify operational, analytical, and search workloads across real-time data. We'll demonstrate stream processing with Kafka Streams, Apache Flink®, and SQL engines; real-time analytics with Apache Pinot®; search capabilities with Elasticsearch; and modern lakehouse approaches using Apache Iceberg® with Tableflow to represent Kafka topics as queryable tables. While there's no one-size-fits-all solution, understanding the tools and trade-offs will help you design more robust and flexible architectures. **Viktor Gamov** is a Principal Developer Advocate at Confluent, founded by the original creators of Apache Kafka®. With a rich background in implementing and advocating for distributed systems and cloud-native architectures, Viktor excels in open-source technologies. He is passionate about assisting architects, developers, and operators in crafting systems that are not only low in latency and scalable but also highly available. As a Java Champion and an esteemed speaker, Viktor is known for his insightful presentations at top industry events like JavaOne, Devoxx, Kafka Summit, and QCon. His expertise spans distributed systems, real-time data streaming, JVM, and DevOps. Viktor has co-authored "Enterprise Web Development" from O'Reilly and "Apache Kafka® in Action" from Manning. Follow Viktor on X - @gamussa to stay updated with Viktor's latest thoughts on technology, his gym and food adventures, and insights into open-source and developer advocacy. **Location:** Improving Office 171 East Liberty St Unit 235 Toronto, Ontario M6K 3P6 **Directions (171 E Liberty St - Suite 235)** **By transit** Streetcars 504 and 509 both travel close to the office (less than 10 minute walk to the office from either), the lakeshore GO train is also a 5 minute walk from the office. **By car/parking** On street parking is available - there are a handful of paid parking spots directly in front of the entrance - with a large city parking lot across the street. **Entrance** The entrance to the office is beside the Bulk Barn entrance facing Hannah Street. There is an Improving logo on the door.

Exhibition Place has lots of majestic buildings but it's hard to appreciate them when it's crowded. So, we'll visit before event season begins. It's a sprawling venue that's great for a hike to work up an appetite. We will detour first to Trillium Park for a vista of downtown Toronto and check out some of the illuminated works from the [Lumière](https://ontarioplace.com/en/special_programs/lumiere/) light exhibition. Then, we'll make out way through all the heritage-listed buildings of Exhibition Place. It runs the gamut from a colonial fort to neo-Classical exhibition buildings. The hike ends in Parkdale, where we can peruse the late night restaurants there: Tibetan momos, Japanese ramen, Saudi kabsa, Italian millefoglie, and even Mexican insects. **Highlights** 1. Princes' Gates (depart 6:30pm) 2. Toronto Inukshuk 3. Trillium Park (depart 7pm) 4. CNE Food Building 5. CNE Fire hall / Music building / Press building 6. CNE Bandshell 7. Fort Rouillé / Scadding Cabin / Wind turbine 8. Ontario Government Building 9. Dufferin Gate 10. Lao-Thai / Gladstone Hotel (depart 7:50pm) 11. The Drake Hotel / DoDoner / Lisgar Park 12. Matt’s Burgerlab 13. Molkagtez Mexican Cuisine / Kaminari Ramen Bar / BB's 14. Daymi 15. Shambhala Kitchen (arrive 8:20pm) **Neighbourhoods** Ontario Place > Exhibition Place > Parkdale **Map** [https://www.google.com/maps/d/edit?mid=1tJVHKn9_bIiGBuweFLULTS71AJSIMCE&usp=sharing](https://www.google.com/maps/d/edit?mid=1tJVHKn9_bIiGBuweFLULTS71AJSIMCE&usp=sharing) **How it works** Hike starts punctually. Late or can't do the whole route? Meet us at scheduled checkpoints. We'll browse many food places but won't linger long. Grab ready-made food, or see the route in advance, organize takeout, then pickup along the way. Not sure what to try? Join our omakase for $5, which gives a tiny sample from different restaurants. Payment on the day of event by cash or e-transfer to [globaltorontoeats@gmail.com.](http://globaltorontoeats@gmail.com.) No refunds after orders are placed. Details of sampled food will be uploaded after the hike. Limited cutlery provided. Highly recommended to bring cutlery and containers for omakase and bringing back leftovers. See our [About section](https://www.meetup.com/hike-to-eat/) for more info.

Let's drink beers and shoot the shit about space! Plus, let's see some awesome astronomy content, delivered by our friends at [Astronomy On Tap](https://www.dunlap.utoronto.ca/public-outreach/astronomy-on-tap-to/). Let's meet at the [The Dog & Bear Pub](https://dogandbear.ca/), 1100 Queen St W, just a half block west from the Great Hall. We'll meet there at 6pm, do our traditional "drink beers and shoot the shit about space" (dinner also possible), and then head over to the AoT event starting 7:15 for entry by 7:30. Join us at any point, but DO expect that it'll be much harder to find us at the Great Hall than at any earlier point. We'll basically be pre-drinking at Dog & Bear, hoping to see double stars at Astronomy on Tap LOL. We will also bring one of our gliders for a bit of show & tell. More info on Astronomy On Tap: held every few months at the Great Hall by the Dunlap Institute, it's basically couple of astronomy lectures, usually by researchers, with a cash bar and tons of astronomy nerds. Doors at 7pm, show at 8pm, no cover and no tickets required, but in my experience it fills up so it's best to get there well before 8pm to get better seats.

Come and join us for a walk through the PATH, Toronto's underground pedestrian walking network. We're doing something different while the forest trails start to transition from winter to summer. We will meet at Union Station in the Great Hall (see pic). We will make our way north to the Eaton Center. From there, we will head south, completing a loop as we make our way to The Old Spaghetti Factory ([https://www.osf.com/](https://www.osf.com/)) for a late lunch. We will make changes to the route in order for us to arrive at the restaurant on time (2pm). Plenty of breaks along the way and if you haven't attended one of our events before, come out and meet the group. The PATH is a mostly underground pedestrian walkway network in downtown Toronto that spans more than 30 kilometers of restaurants, shopping, services, and entertainment accommodating more than 200,000 business-day commuters as well as tourists and residents. For more information, visit: [https://www.toronto.ca/explore-enjoy/visitor-toronto/path-torontos-downtown-pedestrian-walkway](https://www.toronto.ca/explore-enjoy/visitor-toronto/path-torontos-downtown-pedestrian-walkway) **LEGAL DISCLAIMER AND LIABILITY INFORMATION:** By RSVP'ing and paying the event fee (if applicable), you are confirming that you have read, understand and accept the following: 1. GTA Hiking Meetup is a private group. Attending events is voluntary by you as a member. Participation in any activity with us is at your own risk. 2. By joining this event as a member you agree to indemnify and hold harmless its organizers, co-organizers, assistant organizers, event hosts, and other members from all claims or liability of every type (including court costs and legal fees) for injury or death to any person or for damage to property, loss of personal property or any other wrongful act arising out of or relating to your participation as a member. This agreement applies to you and to other persons (as your guests) who may accompany you in these endeavors. 3. You also agree to hold the organizers as well as other group members harmless. By participating voluntarily in the group, you expressly waive any and all such claims against each and every other member in the group, including without limitation any and all claims against the group organizer, co-organizers, assistant organizers, and event hosts.

Window functions have nothing to do with the Windows operating system but provide a “window” to a result set when used in SQL queries. They are powerful, set-based methods to view data in unexpected ways. Window functions provide easy, set-based solutions to solve some common problems: * Using running totals * Performing operations in intervals * Identifying data gaps and islands * Performing aggregates without losing detail Many people are confused by window functions and do not know how to use them properly. This session will explore window functions, how they work, and how to use them. Demonstrations with several examples will solidify how window functions can simplify queries and make them more powerful.

**Google Analytics Alternatives** Is it finally time to make the switch away from Google Analytics? Two-and-a-half years ago Jason Packer asked this question at Columbus Web Analytics Wednesday. Since then: Google’s Universal Analytics has been sunset, we’ve changed our name to Columbus Data & Analytics Wednesday, and Jason has released two editions of his book “Google Analytics Alternatives”. Fresh off the release of the 2nd edition of his book, we thought it was time to re-open this conversation. While people love to complain about it, GA’s market share has remained relatively constant (at least in the United States). Why is that? You won’t find any complaints about GA4 in this talk, but rather an overview of what’s currently available in the market and how to frame your decision-making process. We’ll also be giving out some free copies of Jason’s book! So even if you’ve got a “GA4Lyfe” tattoo (no judgement), there’s free books to go with the free pizza and beer. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

Discover Kiro, AWS’s innovative development environment that adapts to your workflow. Whether you prefer specification-driven development or a more intuitive, vibe-based approach, Kiro empowers you to build applications your way. In this session, speakers will explore Kiro’s core functionality and its evolution through re:Invent 2025, along with demonstrations of prompts used to create APIs, hooks, and steering documents. In the latter part of the session, watch as we build a complete example from scratch, showcasing Kiro’s agentic AI workflow in action for spec-driven development and vibe coding. What You'll Learn - Core Kiro concepts and development philosophy Feature evolution: pre and post re:Invent 2025 Practical examples: API creation, hooks, and steering docs Live coding demonstration with real-time problem solving Who Should Attend - Developers, solutions architects, and technical leaders interested in modern AWS development tools and AI-assisted coding workflows. **Speakers Bio:** Matthew Jorat: Matthew Jorat is a Customer Solutions Manager at AWS with nearly three decades of expertise in AI, cloud transformation, migration, modernization, IT, technology, and business. His career spans infrastructure engineer, solutions architect, security auditor, customer success director, support and services director, and operations officer. He was an early adopter of AWS services as a customer, and his current role at AWS uniquely blends his technical and business skills as he partners with executive teams to translate strategic priorities into measurable business outcomes through cloud adoption, AI implementation, and operational excellence. Matt leads end-to-end AI initiatives for enterprise customers, identifying high-impact use cases and maintaining relentless focus on measurable ROI. He holds eight AWS certifications and serves as Adjunct Professor at Franklin University teaching cloud computing and AWS architecture. His expertise encompasses GenAI, agentic AI systems, migration, modernization, and optimization strategies that drive transformation at scale. [https://www.linkedin.com/in/mattjorat/](https://www.linkedin.com/in/mattjorat/) Girish Bhatia: Girish Bhatia is a seasoned technology delivery leader with deep expertise in cross-domain program management. He holds multiple AWS certifications, including AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, and AWS Generative AI Practitioner, and is also an AWS Community Builder. Girish brings over two decades of experience in the information technology industry. Throughout his career, Girish has led major technology-driven business transformation from modernizing on-premises applications to driving large-scale cloud migrations. His work includes API-based integration platforms, data-center and mainframe modernization, and enterprise cloud adoption initiatives. Based in Columbus, Ohio, Girish works at a tech-forward fintech company. He is passionate about AWS serverless architectures, Generative AI and emerging cloud technologies. An avid learner and builder, he continues to explore and apply the latest innovations in AWS to help organizations accelerate their digital transformation. https://www.linkedin.com/in/girishbhatia/[https://www.linkedin.com/in/girishbhatia/](https://www.linkedin.com/in/girishbhatia/) **THANK YOU** *Franklin University* for hosting our meetup! To learn more about *Franklin University*, please visit their website: https://www.franklin.edu/ **DIRECTIONS** Franklin University Fisher Hall 300 E. Main St, Columbus, OH 43215 Map: https://maps.app.goo.gl/jxjBA2hUmS5qrvhq8 Parking is FREE! Please park in Lot C in front of Fisher Hall. See attached map. NOTE: Map the address only. When mapping with Google Maps it may use the Fisher Hall at OSU, which is NOT correct. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

**Details:** This talk reviews the fundamental academic research literature in financial economics, distilling key findings with rigor while debunking suboptimal investing decisions. It draws on decades of empirical research and statistical analysis with the aim of guiding how to think about sound investing. **Audience Takeaway:** Attendees will gain a practical, research-based approach to assessing investments, interpreting risk, and making choices that support long-term financial independence, informed by decades of published financial studies. **Zoom: This is a *hybrid* event. To attend online, join us on Zoom here at 6pm:** https://iit-edu.zoom.us/j/87434065239?pwd=mK8gkDO6FTL2NBCXrgnViDwVJU14YT.1 Meeting ID: 874 3406 5239 Passcode: 826532 **Sponsor:** **[Tegus by AlphaSense](https://www.tegus.com) will provide the meeting site, as well as pizza and soft drinks for the onsite participants.** * **Address:** 200 N. LaSalle Street. Suite 1100. Chicago, IL 60601 * **Tegus by AlphaSense's Overview:** Tegus by AlphaSense is the leading market intelligence platform for key decision makers. We power some of the world’s most well-respected institutional investors, corporations, and consultancies through the largest and most comprehensive database of primary and market information. Our products and services enable clients to discover unmatched insights and answers to the most challenging questions they face to help them make better informed decisions. We are an end-to-end investment intelligence and research platform that modernizes the research processes. With an ecosystem that combines at-cost, on-demand expert calls with a 55K+ transcript library; quantitative financial workflows that streamline research across company disclosures, management presentations, earnings calls and filings; and 4K+ fully-drivable financial models and company benchmarking data, including every KPI and comparison that matters, Tegus by AlphaSense enables investors to move faster, gather deep research and surface high-quality insights to drive better decisions. The company serves customers worldwide, including investment analysts, portfolio managers and key decision makers across public and private businesses in markets of all sizes. * **Logistics**: To access the Tegus by AlphaSense building, we require **first and last names** of those who RSVP'd by Mar 18. Attendees will then present their **IDs** when they arrive at the front desk (right when they enter the building). They will be sent up in the elevator to the 11th floor where we will be.

Meet in the Maple Grove Picnic area. If trail conditions are poor, we will use the Multipurpose Path.

Come out to Improving for our monthly iOS and Mac meetings. This Month's Presentation: **Python Tips and Tricks on iOS** **Mike Kennedy** What is Cocoaheads (http://cocoaheads.org/)? CocoaHeads is a group devoted to discussion of Apple Computer's Cocoa Framework for programming on MacOS X and iOS (including the iPhone, iPad and Apple Watch). During monthly meetings, members present on their projects and offer tutorials on various programming topics. What is BuckeyeCocoa (http://buckeyecocoa.org/)? BuckeyeCocoa is a group of Objective-C/Swift developers/enthusiasts. We host monthly Cocoaheads and near-weekly NSCoder meetings in Columbus, Ohio. The meetings are free to attend. Presentations! Presenters welcome! We are always in need of people willing to present material. Any Swift and/or Objective-C related topic is welcome. Times can be 5 minutes (i.e. lightning talks) to a maximum of 2 hours. Interested? Contact info is on the BuckeyeCocoa website. To volunteer for a presentation contact us at @BuckeyeCocoa on Twitter. Follow us on Twitter! @BuckeyeCocoa (https://twitter.com/#!/Buckeyecocoa/) For more information: http://buckeyecocoa.org/