Academic Projects

Stock Analysis

Deployed a data-driven web app providing customizable, real-time financial analytics & historical stock trends for 20 companies integrating PySpark, Docker, and Azure Delta Lake

Data Engineering Cloud Computing Azure Docker

Twitter Abuse Detection

Trained generative Naïve Bayes and discriminative LSTM models to classify offensive tweets with 82% accuracy using real and synthetic data, enabling healthier social media interactions

NLP Sentiment Analysis Data Augmentation Neural Networks

Text generation with Probabilistic Models

Created a versatile sentence generation tool utilizing n-grams, NLP, and OOP in Python with stochastic and deterministic modes

NLP Supervised Learning Python

Resume Follow-Up Drivers

Built a logistic regression model in R for the OpenIntro Resume dataset to identify the influence of race and gender on job application callback rates

Statistics Logistic Regression