Jayam Gupta

Data Science Enthusiast Email :-Mobile : - www.pypi.org/WrappedLLM Jayam Gupta linkedin.com/jayam | github.com/jayam | kaggle.com/jayam Experience Data Science Consultant May 2025 – Present Consint.ai Hitec City, Hyderabad, TL • Revolutionized fraud detection operations for CARE Health Insurance by developing an end-to-end automated pipeline processing 200-300 insurance policy documents daily, completely transforming manual review process into streamlined system with sub-100ms response time • Engineered intelligent document processing solution using local LLM (QWEN 7B) with custom entity extraction algorithms across 60-70 entities, achieving 85% reduction in extraction inaccuracy through vendor-specific document templates • Developed 20+ fraud detection rules out of 45 total business rules while establishing standardized development practices, identified and resolved 4 critical logic flaws, and built scalable Python pipeline with MongoDB integration • Delivered complete project transformation in 1 month, creating flexible rule integration architecture that enables rapid deployment of new fraud detection capabilities with customizable input specifications for seamless business rule expansion Data Science Intern March 2024 – April 2025 Aidwise.ai (Aidwise Analytica Pvt. Ltd.) Sector 142, Noida, UP • Jumped directly into backend development at a fast-paced startup, rapidly self-learning FastAPI, MongoDB, and containerized deployments with GitHub Actions under tight 2–3 day deadlines • Took complete ownership of multiple projects from the start; within 12 months, independently built an end-to-end ETL pipeline for patient data by reverse-engineering unstructured Jupyter notebooks into a scalable production system • Self-initiated and implemented a custom algorithm to query the National Drug Code (NDC) API with 98% accuracy, designing a load-balanced, rate-limited architecture for complex data transformations • Became the go-to engineer for AI-related tasks; consistently delivered optimized, production-ready solutions using LLMs, CI/CD pipelines, and domain-mapped deployments, earning praise for rapid problem-solving and execution Projects CKD Pipeline - Jorie Healthcare | Python, SQLAlchemy, OpenAI, ML Clustering Jan. 2025 – Apr. 2025 • Architected parallel processing system with 16 workers and ML clustering models, reducing diagnostic computation from 4 weeks to 3 days for 12,000-patient dataset • Developed automated classification for CKD-related medical codes (ICD-10, CPT) and patient lifestyle factors with 100% accuracy for alcohol and smoking categorization • Implemented machine learning clustering algorithms that identified disease progression patterns, enabling predictive risk stratification for clinical decision-making Patient Visit Summary System | Python, Pandas, LLM, Pydantic, Regex, Concurrent Processing Oct. 2024 • Designed production ETL pipeline processing 30,000+ medical records with 95%+ accuracy, extracting structured data from unstructured clinical text • Optimized concurrent batch processing algorithms handling 20+ diagnoses per patient, achieving 70% performance improvement through intelligent parallelization • Delivered automated medical summaries that reduced physician workflow time by 40%, directly impacting clinical productivity in production environment Intelligent Data Analysis Chatbot | Python, OpenAI, FastAPI, Function Calling Mar. 2025 – May 2025 • Built high-performance NL query interface with function-calling optimization, reducing data query response time from 1.5 minutes to 7-15 seconds • Engineered dynamic visualization and filtering APIs with 99% accuracy for multi-dimensional data aggregation and real-time insights generation • Developed scalable recommendation engine serving complex analytical requests through optimized FastAPI endpoints and intelligent caching strategies Certificates Machine Learning A-Z | Udemy Introduction to DevOps | IBM, Coursera Introduction to Cloud Computing | IBM, Coursera Problem Solving (Intermediate) | HackerRank Python (Basic) | HackerRank Education KIIT University Bhubneshwar, OD Bachelor of Technology in Information Technology | 8.06 Minor in Financial Economics (Using Data Analytics) Oct. 2021 – Apr. 2025 Jan. 2024 – Aug. 2025 St. James’ School Indian School Certificate (ISC) - 12th | 88.25% Indian Certificate of Secondary Education (ICSE) - 10th | 80.40% Kolkata, WB Mar. 2019 – Apr. 2021 Jan. 2006 – Mar. 2019 Technical Skills Languages: Python, Java, C/C++, SQL Frameworks & Tools: FastAPI, Flask, MongoDB, Docker, Docker Compose, Nginx, Git, GitHub Actions, Bitbucket, Microsoft Azure, Google Cloud Platform Libraries: pandas, NumPy, matplotlib, seaborn, scikit-learn, TensorFlow, OpenAI, Anthropic, Pydantic Developer Skills: CI/CD Pipelines, REST API Development, Prompt Engineering, LLM Integration, Custom Algorithm Design, Domain Mapping, Scalable ETL Pipelines IDEs & Utilities: VS Code, PyCharm, Postman, Jupyter Notebook