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EMPLOYERS: Looking for Tech Talent for your company? Join us for networking with the presenters via Zoom breakout rooms during the second part of the event!

Get your invitation by registering here:
https://docs.google.com/forms/d/e/1FAIpQLSeH2np1O-yorU1lWGHdixUu8jJ-zRszmr7puwrptaCOGMVQng/viewform

We are looking to bring together job seekers and hiring partners into the "same room" in a one-of-a-kind networking event.

5 PM - 6 PM EST:
Demo/Presentations
(live-streamed on YouTube)

6 PM - 7 PM EST:
Network/Q&A
(by invitation)

CONFIRMED SPEAKERS/ AGENDA DETAILS:
šŸŽ¤ Greg Feliu
šŸ’» Data Analyst/Data Scientist
šŸŒŽ NYC / Remote
This talk is an exploration into Mexican immigration in the United
States using restaurant names. I found that people from all over Mexico
immigrated to the U.S. in about equal numbers in the U.S. cities
examined but there were some clear cases of chain migration from one
Mexican region to one U.S. city.
~
šŸŽ¤ Kei Nemoto
šŸ’» Software Engineer/Data Analyst/Machine Learning
šŸŒŽ NYC / SF / LA / Remote
In this demo, I will present ReproNETs, a Machine Learning as a Service for named entity transliteration models. Users can get real-time predictions by state-of-the-art models via HTTP requests or a web GUI. It uses a microservice architecture to achieve scalability and maintainability. To the best of my knowledge, there is no service to provide transliteration as a service.
~
šŸŽ¤ Sasha Prokhorova
šŸ’» Data Analyst/Data Scientist
šŸŒŽ SF
Presentation abstract:
My project involves gathering The New York Times historical data through the Archive API, running sentiment analysis using NLTK Vader, producing visualizations using Seaborn and Tableau, and topic modeling by means of SpaCy and gensim libraries. The goal of this data journalism research was to investigate gender representation in print in order to promote equality and opportunity.
~
šŸŽ¤ Mason Ellard
šŸ’» Data Analyst/Data Scientist
šŸŒŽ NYC / SF / LA / Chicago / Remote
In this project, I built a gentrification classifier using American Community Survey data and scaled the model to the entire US using PySpark and AWS. I found education and popular methods of transportation in surrounding neighborhoods to be significant indicators of gentrification - supporting the theory that gentrification is being fueled by an inflow of educated professionals targeting highly amenable neighborhoods.
~
šŸŽ¤ Julia Nguyen
šŸ’» Data Analyst/Data Scientist
šŸŒŽ SF / LA / Remote
In this demo, I will present a project where I developed a convolutional neural network that can detect areas of urban development in satellite images. I applied this model to satellite images of various cities to measure urban sprawl.
~
šŸŽ¤ Julia Qiao
šŸ’» Data Analyst/Data Scientist
šŸŒŽ NYC / SF / Remote
Who is the millennial homeowner? Interpreting demographic characteristics via classification.
~
šŸŽ¤ Harry John Shephard
šŸ’» Data Analyst/Data Scientist
šŸŒŽ Worldwide
I took a look at communities where people connect over disordered eating and parse through their language to better understand what distinguishes one community from another and to seek out patterns in the conversations people have when they feel they have permission to share a part of their lives they usually keep sealed off from the world
~
šŸŽ¤ Yaakov Bressler
šŸ’» Software Engineer/Data Scientist
šŸŒŽ NYC
ORMs (Object Relational Mappers) are pretty nifty things – they allow you to interact with SQL databases as python objects. In this hands-on overview, I'll demonstrate how SQLAlchemy can be used to create a database to represent Broadway shows – using 100% python!
~
šŸŽ¤ Neda Saleem
šŸ’» Data Analyst/Data Scientist
šŸŒŽ LA / SoCal / Remote
Picking the right contraception is an overwhelming task. There is currently no recommender that considers previous methods a person has tried and the side effects they've experienced. I used unsupervised machine learning to build a personalized recommendation model and deployed the app on Heroku, which I will be demoing in my talk.

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