- Spearheaded development of large machine learning products by leveraging Tensorflow and Scikitlearn. - Engineered data pipeline for millions of data points using Python, PostgreSQL and Google Earth Engine.- Improved ETL data pipeline speeds by 80% by implementing uber's H3 Indexing- Engineered random forest, ada boost classifiers and abstract neural networks with F1-Scores of 98%- Applied exploratory data analysis concepts suchas Winsorization and min-max scaling to improve F1-scores of existing models by 8%

- Gained experience throughout the tech stack, using C#, Typescript, .NET.- Extended custom compilers using C# and gold parser to enable secured database access- Built encoding algorithm in C# to reduce memory usage by 30%- Implemented scalable C# .NET API with NPGSQL to automate requests to PostgreSQL database - Designed user settings interface now deployed in telecom carriers