• Hi there!
    I'm Uddhav Bhagat

    I'm a senior studying Computer Science at the University of Michigan!

    Resume

Experience

Work Experience

Software Engineering Intern @ SoFi June 2021 - Aug 2021

• Developed scalable endpoints using Java Spring, PostgresSQL, and Mockito to consolidate account activation information for SoFi Invest users, achieving a latency of under 80ms for 95% of requests
• Leveraged the API and built a dynamic onboarding dashboard for users to track their account activation progress and nudge them to complete remaining steps for account completion
• Achieved a 19.8% increase in deposits triggered and an 8.67% increase in trades executed by newly onboarded users through the dashboard

Software Engineering Intern @ Dream11 June 2020 - Aug 2020

• Enhanced sports streaming experience for 90,000+ users by developing a TensorFlow Lite logistic regression model for real-time screen size and video quality recommendations
• Developed a Java wrapper for hosting TFLite model and communicating with a React Native front-end for preference-based content rendering for each user
• Improved the UI by creating a minimized-viewing feature in React Native, enabling simultaneous viewing and scrolling which increased positive customer expereinces by 32%

Project Lead @ Michigan Data Science Team Jan 2020 - May 2020

• Designed complete project pipeline to investigate the nutritional values and trends in the meals provided by Michigan dining to improve quality of meals provided on campus
• Achieved an accuracy of 79.2% by engineering a KNN classification model to enhance nutritional intake of students by categorizing food items into healthy and non-healthy buckets
• Built a linear regression model yielding 84.7% accuracy to predict the nutritional values of newly introduced items

Data Analyst Intern @ OnProcess Technology July 2019 - Aug 2020

• Collected, sorted, and analyzed historical data of frequent customer requirements and complaints to improve agent training models and reduce agent turnaround times by 12%
• Implemented an NLP Sentiment Analysis model to understand the key trends and insights on the conversations between the agents and customers
• Contributed to a 6% increase in customer retention rates by developing a classifier to identify specific experiences that led to low customer satisfaction rates

Research Assisant @ University of Michigan Research Opportunies Program Sep 2018 - May 2019

• Reviewed background literature and assisted in designing and implementing research studies involving human participants to study the Misinformation in Social Networks
• Designed a network study using a bot with two different tones which argues against the mathematically correct answer to study if people’s decisions changed as time goes by
• Collected, analyzed, and visualized data from experiments using R and R studio

Projects

Recent Projects

TuneIn

TuneIn is web application that uses computer vision to analyze a picture of the user’s environment and provide an original playlist of music based on the user’s surroundings.

Emaily

Emaily is a web application that allows users to send custom surveys, track their responses using Webhooks, and analyze the responses through visual dashboards.

TextSaver

A chrome extension that saves the text you highlight with your cursor!

MichiganDining

A detailed analysis of the dining halls at the University of Michigan, Ann Arbor. In this project, we try and assess the trends in nutritional values and come up with statistics to help you make informed decisions on what you eat at the dining halls!

Wine and Dine

This project scrapes data from the Yelp and Zomato API's and creates interactive visualisations such as choropleth maps and scatter plots to develop key understanding for the restaurants in the neighbourhood.

Piazza Post Classifier

This program automatically classifies the subjects of Piazza (Q&A web service) posts by training the “Multivariable Bernoulli Naive Bayes’ NLP Classifier” model using log-prior probability scores.
My Specialty

My Skills

C++

Python

JavaScript

Java

SQL

React.js

Node.js

Express.js