Asheesh Patel

Data Scientist with nearly 4 years of experience in quantitative analytics, machine learning, and AI application development. Experienced in Python, statistical modeling, MLOps, Generative AI, RAG, and LLM-based applications, with hands-on experience deploying solutions using AWS and modern AI frameworks.

Data Scientist (Full-Time) at Entirety (2022-08 – 2026-04)

• Designed and maintained Historical Simulation, Variance-Covariance, and Monte Carlo VaR models to quantify and monitor portfolio risk exposure across trading strategies with 90% confidence interval, validated models using Kupiec's Proportion of Failures Test and Basel Traffic Light methodology.
• Built backtesting pipelines and portfolio performance monitoring tools with 5+ years of historical data.
• Developed an LLM-based financial news analysis system for automated summarization and sentiment extraction, leveraging Groq (Llama 3.1) model to process financial news data.
• Deployed analytics workflows on AWS EC2; used AWS S3 for scalable storage of historical datasets and model outputs.
• Skills: Python, Value at Risk, Model Validation, Backtesting, Langchain, LangGraph, Vector Database, Langfuse, Docker

Master of Arts in Economics – Sarvepalli Radhakrishnan University (2020-07 – 2022-06)

Bachelor of Science in Mathematics – Chhatrapati Shahu Ji Maharaj University (2013-07 – 2016-06)