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Deepak thorat

@deepakthorat

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Assistant Manager at American Express who delivered $1M+ in annual savings and identified a 24% ADB growth opportunity.

India

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At American Express, I developed a Premium Lending Dashboard that benchmarks ADB growth against the industry, with insights featured in Investor Meetings and Earnings Calls. I also developed a competitive intelligence framework using bureau data that reduced dependence on legacy reports and delivered $1M+ in annual cost savings.

At American Express, I applied a Decision Tree algorithm to identify a 24% ADB growth opportunity among US Card Members. I also helped drive targeted strategies by diagnosing lending engagement barriers, including credit line constraints and APR sensitivity.

Earlier, at EXL, I developed a Generative AI solution using LLMs, RAG, and NLP to automate compliance checks for banking marketing communications. I also migrated legacy SAS machine learning models to PySpark for a global banking client.

Experience

Work history, roles, and key accomplishments

Current

Assistant Manager

Current

American Express

Feb 2026 - Present (8 months)

Developed and maintained a Premium Lending Dashboard to benchmark ADB growth, leveraged bureau data for competitive intelligence, and applied decision tree algorithms to uncover growth opportunities. Built a monthly Personal Loan Origination dashboard that identified a 500 bps decline in share and contributed to a 100% increase in originations.

SQL Python Data Analysis Dashboarding Decision Trees Competitive Intelligence Lending Analytics

Data Analyst

American Express

Sep 2024 - Feb 2026 (1 year 5 months)

Maintained the monthly Share of Wallet report, contributed to an ADB Opportunity Framework, and analyzed customer behavior to identify growth opportunities. Identified a 136% surge in Younger Customers and evaluated 60+ behavioral metrics.

SQL Python Data Analysis Share Of Wallet Strategies Customer Segmentation Behavioral Analytics

Consultant I

EXL

Oct 2023 - Sep 2024 (11 months)

Developed a Generative AI solution using LLMs, RAG, and NLP to automate compliance checks for banking marketing communications. Migrated legacy SAS machine learning models to PySpark for a global banking client.

Generative AI LLM RAG NLP PySpark SAS Machine Learning Banking

AI Software Developer Intern

Vidal Health Insurance

Jul 2023 - Oct 2023 (3 months)

Designed an AI-powered document processing pipeline using OCR and open-source LLMs to convert unstructured insurance claim documents into structured data. Evaluated multiple OCR models and implemented image pre-processing techniques.

OCR LLM Python Document Processing Image Processing

Analytics Intern

Dr. Reddy's Laboratories

May 2022 - Jul 2022 (2 months)

Developed a YOLOv5-based computer vision solution for pharmaceutical line-clearance inspections, achieving 72% validation accuracy and deploying the model using Streamlit. Built and annotated a custom dataset of 300+ images.

YOLO V5 Computer Vision Python Streamlit Deep Learning