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ms00000ms0000/README.md

Hi, I'm Mayank Srivastava 👋

Aspiring AI / ML Engineer · Data Scientist · Data Analyst

I build end-to-end AI, GenAI, and analytics solutions, from raw data to deployed products.

Portfolio LinkedIn Email Instagram


💫 About Me

Computer Science graduate (B.Tech, Data Science) with hands-on experience building AI, Machine Learning, and Generative AI systems. I like turning messy, real-world problems into working products: RAG assistants, ML platforms, automations, and business dashboards.

  • 🎓 B.Tech in Computer Science (Data Science), CGPA 8.04
  • 📍 Delhi NCR, India
  • 🔭 Currently deepening my GenAI and RAG skills: GenAI-Learning-Journey
  • 🎯 Open to roles: AI Engineer, Generative AI Engineer, ML Engineer, Data Scientist, Data Analyst, and SDE

🚀 Featured Projects

Project What it does Highlights
HyperRAG Multi-document RAG assistant for enterprise-style Q&A Hybrid retrieval (FAISS + BM25), Reciprocal Rank Fusion, cross-encoder reranking, Gemini API
AtmosIQ AI-powered weather intelligence platform 81.3% test accuracy, 5-fold stratified cross-validation, deployed 24x7 on a self-managed Linux VPS
ClinicFlow n8n automation for clinics Sends the day's patient list to Telegram every morning, pulled from Google Form/Sheet
Indian E-Commerce Revenue Dashboard Power BI dashboard on discount impact, festival sales, demographics, and inventory pressure 970K+ units, ₹2.17B revenue analyzed, DAX + Power Query ETL
UrbanCart Business Performance Analysis Retail sales and profitability analysis in Power BI 9,994 transactions, found loss-making Furniture sub-categories and discount-driven margin loss in the Central region
Emotion Detection System Facial emotion classifier MobileNetV2 transfer learning, TensorFlow/Keras, 6 emotion classes
GenAI-Learning-Journey Day-wise hands-on GenAI log LLM basics, embeddings, FAISS, chunking, LangChain (LCEL), conversational RAG, source attribution

💻 Tech Stack

Languages & Databases

Python SQL

Machine Learning & Deep Learning

scikit-learn TensorFlow Keras PyTorch OpenCV

Generative AI & RAG

LangChain FAISS Gemini

Data Analysis & Visualization

Pandas NumPy Power BI Tableau Plotly Matplotlib

Apps, Automation & Deployment

Streamlit Flask n8n Docker Git GitHub


🤝 Let's Connect

I'm actively looking for opportunities in AI, ML, and data roles. If you're building something interesting or hiring, feel free to reach out via LinkedIn or email.

⭐ Thanks for stopping by!

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  1. Business_Problem_Optimization_Using_Linear_Programming Business_Problem_Optimization_Using_Linear_Programming Public

    Linear programming with Python and PuLP to solve two business problems: manufacturing profit maximization and warehouse-to-store transportation cost minimization, with optimized shipment flow visua…

    Jupyter Notebook

  2. HyperRAG HyperRAG Public

    HyperRAG — Enterprise-grade Multi-Document RAG Assistant using Hybrid Search, Cross-Encoder Reranking, Gemini 2.5 Flash, and Streamlit.

    Python

  3. GenAI-Learning-Journey GenAI-Learning-Journey Public

    Day-wise hands-on journey from LLM fundamentals to production-style RAG: prompt engineering, embeddings, FAISS, chunking, LangChain (LCEL), conversational memory, and source attribution.

    Jupyter Notebook

  4. PowerBI-UrbanCart-Business-Performance-Analysis PowerBI-UrbanCart-Business-Performance-Analysis Public

    Power BI dashboard analyzing 9,994 retail transactions: sales, profit margins, regional performance, and discount impact. Finds loss-making Furniture sub-categories and the Central region's discoun…

  5. Rainfall_Prediction_Webapp Rainfall_Prediction_Webapp Public

    Streamlit web app that predicts rainfall occurrence (Yes/No) from weather parameters using a trained scikit-learn model, covering the full workflow from data analysis to cloud deployment.

    Jupyter Notebook

  6. AtmosIQ AtmosIQ Public

    AI-powered weather intelligence platform with SQL-backed data pipeline, 5 competing ML models (Random Forest, Extra Trees, Gradient Boosting, HistGB, Neural Network), SMOTE-balanced training, SHAP …

    Python