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Shubham Banerjee

@shubhambanerjee

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Senior Data Scientist specializing in GenAI, NLP, and agentic AI for audit automation.

India

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What I'm looking for

I seek roles where I can build production GenAI/NLP copilots and agentic workflows, deliver measurable automation, and collaborate in cross-functional teams focused on explainable, high-impact AI.

I am a Senior Data Scientist with five years of experience building GenAI, NLP, ML and agentic solutions that drive autonomous, explainable workflows for audit and compliance. I have led projects integrating LLMs, Langchain and Langgraph to automate financial-statement analysis, reduce document review time by 50%, and save 400+ hours annually.

I design and deploy production-ready agentic workflows and copilots (Doc-Chat, Agentic-SummaryWriter) with custom evaluation frameworks and multimodal embeddings, and I have a strong background in forecasting, computer vision and model optimization that has delivered measurable business impact across audit and marketing analytics.

Experience

Work history, roles, and key accomplishments

Current

Sr. Data Scientist

Current

Deloitte & Touche LLP

Mar 2023 - Present (2 years 7 months)

Led integration of GenAI and agentic AI into audit workflows, automating 80% of financial statement analysis and saving 400+ hours annually; developed Doc-Chat and an Auto-Eval framework that reduced document review time by 50%.

Generative AI Vector Databases Prompt Engineering

Data Scientist

Comviva

Jan 2020 - Dec 2022 (2 years 11 months)

Designed predictive analytics for churn, recommendations and forecasting (SARIMAX, LSTM), improving model accuracy up to 30% and reducing campaign costs by 70%, contributing to ~15% revenue growth.

Churn Modeling SMOTE Python

Education

Degrees, certifications, and relevant coursework

KIIT

Bachelor of Technology, Electronics and Computer Science

2016 - 2020

Grade: CGPA: 8.23

Completed a B.Tech in Electronics and Computer Science with a CGPA of 8.23, covering core topics in electronics, computer science, and applied machine learning.