[In-Person] PyLadies Dublin X WAI Ireland: WaiPRACTICE Showcase

![[In-Person] PyLadies Dublin X WAI Ireland: WaiPRACTICE Showcase](https://secure.meetupstatic.com/photos/event/5/1/5/a/highres_503720826.webp?w=750)
Details
π We are excited to announce our 1st in-person event since Covid restrictions 2 years ago!
And we are partnered with Women in Ireland who will be showcasing the projects from their WaiPractice Programme that ran from Feb to Apr by their mentors and mentees.
We will have food during the event. Please let us know when you register if you have any dietary requirements.
We would like to thank our sponsors:
- Host: Dogpatch Labs
- Food & Beverages: Inscribe AI
Community Partners:
- Coding Grace: Recording on the Day
- PSF: Meetup
- PyLadies
NOTE: This won't be live-streamed.
βοΈ SCHEDULE
13:15 - 13:30 REGISTRATION AT THE DOOR
13:30 Welcome & Announcements by PyLadies Dublin and WAI Ireland
13:45 A few words from our sponsor, Inscribe AI
13:50 Rachael: "Dubin Bikes Analysis - learnings along the way"
14:00 Q&A
14:05 BREAK (30 mins) Food & beverages / Networking
14:35 Natalia, Misbah, & Dana: " Data Analysis of the Gender Pay Gap Dataset "
14:50 Q&A
14:55 Liliya & Marianna: "Smarty Filterro - a new joy of being well informed."
15:15 Q&A
15:20 Wrap up with PyLadies Dublin & WAI Ireland
15:30 Event Ends
TALKS
TALK 1: Dubin Bikes Analysis - Learnings along the way
---------------------------------------------------------------------------
Dublin's popular bike-sharing scheme 'Dublin Bikes' has 100+ stations across the city where people can pick up & drop off a bike. Data on bike usage & stations are publicly available. In this talk, I will present an analysis of the dataset and tools & techniques I learned along the way.
Speaker(s) Bio:
Rachael McBride started out as a lab-coat-wearing scientist in Biotech. However, due to her clumsy nature, she quickly realized that the world would be a safer place if she left the science lab behind & ran her experiments on computers instead. With a PhD in Bioinformatics, & 10+ years of experience dabbling with data science across a range of industries, Rachael enjoys digging deep into difficult problems to derive useful insights & solutions.
TALK 2: Data Analysis of the Gender Pay Gap Dataset
-------------------------------------------------------------------------
In this talk, we present a descriptive analysis performed in Python programming language using the Gender Pay Gap dataset showing how gender impacts salaries. Also, we will present the results of two models - a regression model to predict salary based on gender & a classification model to predict gender based on salary.
Speaker(s) Bio:
Natalia Resende is currently a research fellow at UCD, working on the influence of web-based popular Machine Translation Systems (such as Google Translate) on human cognition.
Misbah Fatima is a Software Engineer at Dell & a data enthusiast. She recently completed her post-grad in Data Analysis from Purdue University. She likes to explore data on different domains for an in-depth understanding of them.
Dana Smith works for a tech company but she actually studied journalism in college and worked for several years in marketing & comms. She decided to do some night classes on data analytics & graduated with an HDip from DBS. She is looking forward to getting started on a career in analytics.
TALK 3: Smarty Filterro - a new joy of being well informed
-------------------------------------------------------------------------------
Speaker(s) Bio:
Liliya Akhtyamova has a Ph.D. in NLP & 6+ years of experience in researching & implementing state-of-the-art AI systems. She has authored 10+ research papers & currently works as a Data Scientist/AI Engineer, building Talent Cloud solutions.
Marianna Botika is an MS student in Artificial Intelligence with an interest in AI ecosystems & scalability. As an IT Sourcing professional, she has in-depth visibility of the 3rd party AI Returns on Investment & associated risks. She also holds a Ph.D. in Finance & an MBA.
π’ CALL FOR SPEAKERS FOR 2022
Interested in speaking at our upcoming meetups:
https://share-eu1.hsforms.com/1JaDd_XRCQFKb3cp0akbz8Af1bg5
π FAQ
Q. I'm not female, is it ok for me to attend?
A. Yes, PyLadies Dublin events are open to everyone at all levels.
Q. What do you do at PyLadies Dublin Meetups?
A. We have short (or long talks), demos, folks working on their own projects, ask questions on Python-related topics, work on projects together or generally chit-chat & meet like-minded people.
Q. Do you have a Code of Conduct?
A. Yes, you can find it at dublin.pyladies.com
COVID-19 safety measures

Sponsors
[In-Person] PyLadies Dublin X WAI Ireland: WaiPRACTICE Showcase