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Arpita Paul

@arpitapaul

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Senior Data Scientist specializing in GenAI, LLM fine-tuning, and scalable enterprise AI solutions.

India

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What I'm looking for

I seek roles where I can build and productionize GenAI/LLM solutions, lead small teams, work on privacy-compliant enterprise deployments, and partner with stakeholders to drive measurable impact.

I am a results-driven Senior Data Scientist with a Ph.D. in Seismology and over 4.9 years of experience across Machine Learning, Deep Learning, NLP, LLMs and GenAI. I specialize in fine-tuning large language models (OpenAI, Gemini, Vertex AI) and building multi-agent LLM pipelines for enterprise applications.

I have delivered high-impact solutions in healthcare, finance and ESG — including multimodal clinical fine-tuning for automated reporting, RAG-based chatbots with custom guardrails, and privacy-compliant, scalable AI pipelines. My work has reduced manual effort and turnaround times, improved QA efficiency, and achieved strong pilot approval rates.

I partner closely with stakeholders to accelerate GenAI adoption, lead small teams to productionize models, and design systems such as KGNN recommendation engines, multi-source chatbots, and medical error recognition algorithms that drive measurable business value.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

NuSummit

Feb 2025 - Present (9 months)

Led development and deployment of enterprise GenAI pipelines, automating document processing to reduce manual effort by ~65% and delivering client POCs with >90% pilot approval. Managed a team of 4 to build multi-PDF/URL RAG chatbots with >92% retrieval accuracy.

RAG LangGraph AutoGen Python Pinecone Data Engineering Team Leadership

Data Science Product Engineer

Aeries Technology

Sep 2023 - Feb 2025 (1 year 5 months)

Built production GenAI solutions including RAG QA bots and a GenAI PDF summarizer, achieving 95% relevance in evaluations and fine-tuned 150+ hours of medical transcripts for report automation now in production. Developed churn prediction and financial recommender models.

RAG Pinecone Fine Tuning Gemini ANN ARIMA Python Model Evaluation

Research Scientist

Carbon Compete

Jun 2024 - Dec 2024 (6 months)

Co-authored an ESG risk ranking paper and contributed to a patent on Carbon Value Chain Mapping while designing LCA documentation workflows and developing a carbon budgeting algorithm for footprint estimation.

ESG Modeling LCA Carbon Budgeting Research Python Data Analysis Documentation

Project Scientist

NCPOR

Mar 2023 - Aug 2023 (5 months)

Conducted S-P wave seismic analysis for mantle discontinuity studies contributing to regional geophysical research outputs and data products.

Waveform Analysis Data Processing Research

Research Associate

Wadia Institute of Himalayan Geology

Sep 2020 - Sep 2022 (2 years)

Applied XGBoost to improve provenance predictions by 60% and published SCI journal articles and a book chapter on earthquake source analysis. Supported geophysical research and analysis workflows.

XGBoost Data Analysis Scientific Writing Python GIS Research

Research Scholar (Ph.D.)

Wadia Institute of Himalayan Geology

Sep 2014 - Aug 2020 (5 years 11 months)

Completed Ph.D. research using hypoDD and KNN for earthquake relocation achieving 95% accuracy and published 7 SCI journal articles while leading field and computational studies in seismology.

HypoDD K NN Time Series Research Python Publishing

Education

Degrees, certifications, and relevant coursework

Wadia Institute of Himalayan Geology

Doctor of Philosophy, Seismology

2014 - 2020

Activities and societies: Published 7 SCI journal articles; presented at national and international conferences; used hypoDD and KNN for earthquake relocation.

Completed a Ph.D. in Geophysics (Seismology) conducting earthquake source analysis and seismic relocation studies, producing multiple SCI journal publications and a book chapter.