Projects
📈 Stock Market ML Signals
A web application that outputs Machine Learning-based stock buy/hold/sell signals daily on ~120 commonly traded stocks and visualizes signal performances vs. the baseline average, with daily data from January 1, 2021-present.
Tech Stack: Python • SQL • Docker • Kafka • Airflow • PostgreSQL • Streamlit • AWS EC2 • FastAPI
🎾 Tennis Point-by-Point Analytics
A web application that quantifies the mental strength of men's and women's tennis players, calculating point-by-point match probabilities to highlight clutch performance and consistency in high- and low-pressure moments. The application processes 1.8B point-by-point match simulations over all Grand Slam matches from 2020-2024.
Tech Stack: Python • SQL • PySpark • DuckDB • Streamlit
🏡 NYC Apartment Search
Tech Stack: Python • SQL • Airbyte • dbt • Snowflake • Looker Studio
An interactive dashboard that ranks NYC apartments based on user-weighted factors and provides direct links to listings on Realtor.com. Uses Airbyte to ingest 2,000+ NYC-area listings daily from the Realtor.com API.
Skills
Python • SQL
Snowflake • Redshift • PostgreSQL • Microsoft SQL Server
dbt • Airflow • Kafka • Spark/PySpark • Airbyte • SSIS
Docker • AWS EC2 • Azure Cloud • Git
Tableau • Looker Studio • Streamlit • Amazon Quicksight
Contact
Project Links:
📈Stock Market ML Signals🎾Tennis Point-by-Point Analytics🏡NYC Apartment Search