Portfolio

Welcome to my Page!

About me: I have a passion for data and improving healthcare, and have had the fortune of doing it professionally for over a decade. Currently, I am a Lead Data Scientist at Humana in their Digital Health & Analytics business. My job entails providing analytics insights that informs Humana’s business strategy around clinical improvement and member retention. Most often, this is done via interactive dashboards (Power BI), predictive models (in Azure Cloud), and pilot program studies.

My prior work experience includes being a research analyst for FDA’s Sentinel Initiative program, an ETL developer for a healthcare analytics software company, and an analyst for a leading health benefits management consulting company. Through my education and various roles within the healtchare sector, I have developed expertise in data analysis of claims/clinical data using a variety of programming tools (Python, R, SQL, SAS). I also have extensive experience with ETL/pipeline engineering, client/project management (gathering requirements and presenting results).

Above all, I love exploring new data science techniques to address interesting business questions. Below, I’ve linked some data science projects I’ve completed in my spare time. I encourage you to check them out, and welcome any feedback or questions.

Data Science Projects

Dashboard to Find Your Ideal Music Festival

An interactive dashboard for finding music festivals around the world. It contains various search criteria filters (such as artists, location, genre) and tools to compare/contrast different festival artist lineups. It also includes a festival recommendation engine, and auto-generated Spotify playlists catered to each festival’s artist lineup.

NLP Model with Neural Networks: Predicting User’s Star Ratings based on User Reviews

Used Neural Networks to train a model that predicted the star ratings given by users based on their written reviews. Leveraged various NLP tokenization and vectorization techniques to pre-process the text data.

Automated Machine Learning Regression Analysis with Housing Prices

A Python program that automates regression analysis and model optimization for any dataset

Predicting Uber+Lyft Prices with Machine Learning Regression

Comparing performance of linear/polynomial, random forest, and gradient-boosting regression models on Uber vs. Lyft prices

Analysis of Movie Box Office Profits

Using A/B testing for ANOVA and linear regression models to determine significant variables in movie profits

Predicting NFL QB Performance

[In progress] Used ML classification techniques to predict the game performance of QBs based on weather and opponent defense.

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