I'm a data analytics expert leveraging AI to drive insights and efficiency. Let's transform data into action together!
Dive into my portfolio showcasing AI-driven projects, including document intelligence solutions that automate real-world workflows.
Developed a predictive modeling pipeline on 50,882 customer records to analyze insurance offer response behavior, performing data cleaning, feature engineering, and multi-model comparison to support customer segmentation. Developed an NLP-based sentiment analysis model to classify customer reviews and identify opinion trends, uncovering key insights such as a strong positive correlation between review length and helpfulness to inform product and service improvement strategies.
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Pfizer · ✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
I'm a data analytics expert leveraging AI to drive insights and efficiency. Let's transform data into action together!
I am a data analytics professional with a master's degree, reentering the workforce after a career break. My focus is on strengthening my resume and enhancing my competitiveness in the job market.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
SENIOR DATA ANALYST
Star Health and Allied Insurance India · Feb 2020 - Oct 2022
Transportation Data Specialist
Amazon Development Centre India · Aug 2016 - Aug 2017
Education
Springboard Data Science and Machine Learning Bootcamp
Class of 2024
PGP (Data Science and Machine Learning), Great Lakes Institute of Management
Class of 2020
MTech (Biotechnology), Jawaharlal Nehru Technological University
Class of 2019
Skills
Developed a predictive modeling pipeline on 50,882 customer records to analyze insurance offer response behavior, performing data cleaning, feature engineering, and multi-model comparison to support customer segmentation. Developed an NLP-based sentiment analysis model to classify customer reviews and identify opinion trends, uncovering key insights such as a strong positive correlation between review length and helpfulness to inform product and service improvement strategies.
✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
The externship prototyped AI document-intelligence workflows that combined OCR, embedding-based retrieval, and large language models to process enterprise PDFs. Work included research, architecture sketches, and hands-on pipelines assembled for document ingestion, indexing, and question-answering. Deliverables documented methods and prototype components.
I inspected real vendor documents and documented specific data-quality issues—such as inconsistent date formats, repeated boilerplate, merged or multi-line table cells, and checkbox-style forms—that interfere with OCR and automated extraction.
I inspected sample vendor documents, noted inconsistent date formats, repeated boilerplate, merged/multi-line table cells, and checkbox-style forms. I described how each issue could hinder OCR and automated data extraction.