Chinmay Khachane

Motivated student currently working towards degree in Computer Engineering. Adept at prepping resources, equipment, and materials for research. Extensive background in code similarity and machine learning

Navigating Urban Safety 

• Using data from San Francisco police service calls, developed Random Forest, XGBoost models to asses the safety of areas in San Francisco
• Cleaned data of unnecessary features and null values
• Performed Exploratory Data Analysis on dataset to discover patterns and anomalies

Financial Data RAG Pipeline

• Developed a RAG pipeline using Langchain to analyze news data on the top companies of the S&P 500.
• Engineered document segmentation and a vectorstore for efficient retrieval of context.
• Leveraged multiquery and reranking techniques to enhance retrieval and answer more complicated questions