Experience

Sports Consulting and Analytics

•   Analyze sports data using Machine Learning and Statistical tools
•   Build profiles for players and teams across tennis, MLB, NBA and soccer
•   Analyze and predict matchups as well as player performance
•   Collaborated with several firms including a major tennis consultancy and Propsguru
•   Stack: Python, SQL, scikit-learn, TensorFlow

Computer Vision

•   Count number of customers entering a store
•   Process several hours of CCTV footage daily
•   Clean, pre-process and normalize footage where necessary.
•   Stack: Python, YOLO, DeepSORT, OpenCV
•   Check out the sample video on the right. It tracks movement of customers. Note that post-processing methods has not been applied in the sample shown.

Vivacity

•   Draw Insights from SmartCity traffic data for London
•   Automate Reporting: charts, annotations and trend-lines
•   Generate PowerPoint outputs automatically every month
•   Stack: GCP, Python, .NET

Pricing Alerts

•   Monitor prices from various sectors: Crypto, Stock Market, Sports Betting
•   Setup alerting logic based on price movements, orderbook and other data
•   Integrates with a range of messaging services including: Slack, Discord, email, Telegram
•   Stack: Python

Reporting and Dashboards

•   Build dashboards to gain insights into complex data
•   Clean, pre-process and analyze the data with a data pipeline
•   Clearly display KPIs, visuals and tables
•   Stack: Python, SQL, Mongo, Streamlit, Metabase