Sandeep Pandilla

About Sandeep Pandilla

I am a Data Scientist (2018-now))with a Master’s degree in Applied Mathematics and Statistics at Stony Brook University (2016-17) specializing in Quantitative Finance. These are the projects I have worked on-detailed description in the resume https://bit.ly/3nRPlabNLP Data Scientist- Bank of America 05/2019 to 02/2021.• Multi-label Text Classification for indexing unstructured financial documents with BERT and XLNet. • Reinforcement Learning for Automated Stock Trading using Q-Learning and Policy Gradients• Information Extraction and Q&A model building using BERT• Custom Named Entity Recognition from unstructured documents using Deep Learning with PyTorch• Credit Risk Evaluation using Support Vector Machines in Python using Scikit-learn.Data Scientist -JPMorgan Chase and Co: 07/2018 to 05/2019.• Time-Series Forecasting for petroleum prices with Deep Learning using TensorFlow.• Neural Language Model for Event-based Trading using NLTK, Keras and TensorFlow.• Diversified Portfolios using Cluster Analysis to handle systemic risk, using Python. Quantitative Analyst- Stony Brook, NY: 01/2016 to 05/2018• Futures pricing using Machine Learning techniques.• Stock prediction using Text Regression.Software Engineer- Citibank, India: 02/2011 to 01/2016 • Implemented Customer Lifetime Value models for various products using Regression models, Clustering techniques, with Pandas, sklearn, and other Python libraries.• Worked on internal web development applications using Python, Django, and REST API.• Wrote SQL Queries, Triggers, Stored Procedures, Views, in implementing Data warehouse models using SQL-Server, Oracle, Teradata, Informatica, and other ETL tools.• Worked on COBOL/DB2-to-Java migration software package development, testing, and implementation.

Experience

1. H-e-b

   H-E-B

   Present

Education

• Stony Brook University

  Master's degree, Applied Mathematics and Statistics

  2016 — 2018