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
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
