Prashant Gupta
@prashantgupta
Senior Scientist at Envestnet Yodlee
Bengaluru, India
Prashant Gupta is a Senior Data Scientist with eight years of industry experience in delivering cross-functional data science solutions. He has successfully led teams through the full research and development lifecycle, focusing on Model Explainability and Causal Learning. Prashant is proficient in architecting high-volume ETL and machine learning pipelines on AWS and advocating for customer value.
Experience
Senior Scientist
Envestnet Yodlee (acquired by TCS)
Lead team of 4 people with agile approach for data quality initiatives, achieving 96% weighted average accuracy for high-volume entities. Implemented PD, EAD, LGD models for credit risk portfolios. Improved EM and F1 scores by over 15% for Abe AI conversation platform using Langchain and Llama-2. Contributed to user-level enrichment leveraging Knowledge Graphs and Graph Databases. Developed financial forecasting models with MAPE < 10%. Implemented TensorFlow Lite models for edge computing. Engineered end-to-end data solutions using PySpark, Snowflake, Airflow, and AWS serverless technologies.
Machine Learning Engineer
StegoSOC formerly Cloudadic Inc.
Built Receiptbot OCR engine from prototyping to production, focusing on label detection and training deep neural nets for text recognition. Developed Topic Modelling models for business domain classification. Built address detector and recognizer using a hybrid approach of regex and decision trees. Created a streaming pipeline for Twitter content analysis. Developed an AI-powered SOC for real-time log analysis and alerting.
Technical Analyst
Abyeti Technologies Inc.(Now Accolite Digital)
Worked on CodeGrounds hiring platform, independently writing logging and other modules. Implemented statistical methods and visualization tools using Python and SQL to analyze complex datasets and present findings to stakeholders.
Education
Indian Institute of Information Technology
Masters in IT (B.Tech + M.Tech, Dual Degree)
Information Technology
Focus on Data Mining, Multiobjective Optimization methods, Artificial Intelligence, Machine Learning, and Statistical Learning.