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shoraaz/README.md

๐Ÿ‘‹ Hi there, Iโ€™m Shourya

๐Ÿ“ Noida, India
๐ŸŽ“ B.Tech , NIT Jamshedpur (2021โ€“2025)
๐Ÿ”ฌ Data Science | ML | AI


๐Ÿš€ About Me

Iโ€™m a passionate Data Scientist and Machine Learning Engineer, specializing in turning complex data into actionable insights. Iโ€™ve designed and deployed AI applications spanning PDF analysis, audio transcription, generative AI, and time-series visualization.

I thrive on solving challenging problems, continuously learning, and building production-grade ML systems.


๐Ÿ’ผ Experience

AI Application Developer โ€” INGENERO (Janโ€“Apr 2025)

  • Built a Streamlit dashboard for real-time sensor data analysis (50+ streams) using Plotly ๐Ÿง 
  • Created a PDFโ€‘QA tool using pdf2image + OpenRouter Gemini/Qwen, enabling multimodal document Q&A
  • Developed a real-time FastAPI + OpenAI Whisper transcription system with <5โ€ฏs response time

Summer Intern (Generative AI) โ€” INGENERO (Junโ€“Jul 2024)

  • Developed a PDF-QA conversational chatbot using LangChain, HuggingFace, and FAISS

๐ŸŽ“ Education

  • **B.Tech (Hons.) ** โ€” NIT Jamshedpur

๐Ÿ… Achievements & Leadership

  • ๐Ÿฅˆ Runner-up, CSV Matrix (ACC, NIT Jamshedpur)
  • ๐Ÿฅ‰ 2nd Runner-up, Case Master (BITS Pilani)
  • ๐Ÿ… National Rank 9/1144, Critter Crusade (IIMโ€‘B)
  • ๐Ÿฅ‰ National Rank 24/1221, Reโ€‘inventโ€‘in (IIMโ€‘B)
  • ๐Ÿฅ‡ Gold medalist ร—3, International Mathematics Olympiad (Zonal level)
  • ๐ŸŽฏ Gen. Secretary, Analytics & Consulting Club, NIT Jamshedpur
  • ๐Ÿ“ฃ Content Head, Eโ€‘CELL; Event Head, NSS, NIT Jamshedpur

๐Ÿ›  Tech Stack

Category Languages / Tools
Languages Python, SQL
ML / AI scikitโ€‘learn, PyTorch, LangChain, HuggingFace
Web Frameworks FastAPI, Streamlit
Data Pandas, NumPy, SQLite, Plotly
Tools FAISS, OpenRouter API

๐Ÿ“‚ Featured Projects

  • Holiday Package Prediction โ€” Gradient Boost Classifier achieving 90.3% accuracy on 4,888 records
  • Credit Scoring & Segmentation โ€” Credit-worthiness algorithm + Kโ€‘Means clustering
  • Algerian Forest Fire Prediction โ€” Ridge Regression model with MAE ~0.564, Rยฒ = 98.4% :contentReference[oaicite:1]{index=1}

(๐Ÿ”— Check out the live demos and GitHub repos in my Projects section.)


๐Ÿ“ซ Connect With Me


โ€œContinuous learning & data-driven impact.โ€

Pinned Loading

  1. mistralocr mistralocr Public

    Python

  2. Jupiter-Money-FAQbot Jupiter-Money-FAQbot Public

    Jupyter Notebook

  3. Holiday-Package-Prediction Holiday-Package-Prediction Public

    Jupyter Notebook

  4. workflowtest workflowtest Public

    Python

  5. AI-Brochure-Generator AI-Brochure-Generator Public

    Jupyter Notebook

  6. Excel-dashboards Excel-dashboards Public