Mandan M.

AI Researcher

Delhi, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed an AI healthcare assistant improving document retrieval speed by 99%.
  • Analyzed Bitcoin repository data to generate actionable insights.
  • Solid foundation in data science fundamentals with a focus on emerging technologies.
Stackforce AI infers this person is a Data Science professional with expertise in AI and data analytics in the Healthcare and Fintech sectors.

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Skills

Core Skills

Artificial Intelligence (ai)Data AnalysisData AnalyticsData Visualization

Other Skills

AI-powered PDF Image InterpreterAgile & Waterfall MethodologiesAnalytical SkillsAnalyticsApplication Programming Interfaces (API)Attention to DetailBUSINESS MODELBitcoinBusiness AnalyticsCommunicationCompetitive AnalysisComputer ScienceDatabasesDigital StrategyEnglish

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Freelance

Freelance AI Developer

Apr 2025Present · 1 yr 2 mos · Remote

  • Designed and developed a Healthcare RAG Assistant to query multi-format medical and
  • regulatory documents (PDF, CSV, Excel, HTML, TXT).
  • Implemented FAISS + OpenAI embeddings for scalable retrieval and built a custom prompt
  • framework to ensure compliance and factual accuracy.
  • Integrated an AI-powered PDF Image Interpreter (PyMuPDF, PIL, Gemini API) to extract and
  • summarize images, automating image-to-text explanations for compliance and medical
  • reviews.
  • Authored a detailed RFC outlining ingestion workflows, chunking strategies, metadata
  • schema, semantic indexing, and retrieval pipelines, and benchmarked results showing that
  • the RAG system reduced insight retrieval time from 45–90 min/report to under 10 seconds
  • (~99% faster), improved accuracy from ~65–70% to over 90% (+25% gain), and cut analyst
  • weekly effort from 10–15 hours to under 2 hours (-80% effort).
  • Proposed a low-temperature LLM response strategy to minimize hallucinations and enhance
  • reliability in regulatory and clinical contexts.
Retrieval-Augmented Generation (RAG)OpenAIFAISSPythonAI-powered PDF Image InterpreterHealthcare+2

Orangemetrics

Data Analyst

Oct 2024Mar 2025 · 5 mos · Remote

  • 1. Utilized the GitHub API to extract and process over 50,000 commits from the Bitcoin repository, cleaning and organizing data with Pandas.
  • 2. Categorized commits into Core, Wallet, and UX to generate actionable insights and analyzed contributions by language (C++ 40%, Python 20%, Shell 10%).
  • 3. Produced more than ten Matplotlib visualizations, tracking monthly code churn, commit volume, category-wise contributions, language usage, top contributors, and cumulative trends.
GitHub APIPandasMatplotlibData AnalysisData AnalyticsData Visualization

Education

Indian Institute of Technology, Madras

Bachelor's degree — Majors in Data Science

Jan 2023May 2027

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