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AbhayShinde16325/README.md

Hi, I'm Abhay 👋

I’m a computer engineering student who enjoys turning messy data into clean, reliable systems.
I like pipelines that don’t break, queries that make sense, and learning things from first principles.

🧭 About me

  • Curious about data engineering, backend systems, and how data moves at scale
  • Believe good data > fancy dashboards
  • Prefer understanding why something works, not just how

🧱 What I work with

  • Languages: Python, SQL, Java (learning deeper every day)
  • Data: MongoDB, PostgreSQL
  • Analytics: Power BI, Tableau
  • Backend: Flask (basics → building blocks)
  • Tools: Git, Docker

🏗️ Currently building

  • Resume-ready data + backend projects
  • Foundations of data engineering (ETL, schemas, pipelines)

🧠 How I think about data

  • Data should be trustworthy before it’s pretty
  • Pipelines should fail loudly, not silently
  • Automation is respect for future-you

📌 Goals for 2026

  • Build at least 3 end-to-end data projects
  • Get comfortable with distributed data concepts
  • Contribute to open-source, even in small ways

🎯 Fun facts

  • I enjoy debugging ETL bugs more than writing UI
  • I like projects that run quietly for months without breaking
  • Documentation is underrated and I stand by that

📫 Reach me

Pinned Loading

  1. nlp-mongodb-interface nlp-mongodb-interface Public

    A full-stack Natural Language Interface for MongoDB that translates plain English queries into validated MongoDB operations with dynamic aggregation support.

    TypeScript 1

  2. Global-Food-Production-Trends-and-Analysis-A-Comprehensive-Study-from-1961-to-2023-Using-Power-BI Global-Food-Production-Trends-and-Analysis-A-Comprehensive-Study-from-1961-to-2023-Using-Power-BI Public

    Forked from PranavRaskar/Global-Food-Production-Trends-and-Analysis-A-Comprehensive-Study-from-1961-to-2023-Using-Power-BI

  3. personal-ai-assistant personal-ai-assistant Public

    Offline, privacy-first AI assistant built with Ollama, Mistral, and Python using a custom RAG pipeline.

    Python

  4. MarketMinds MarketMinds Public

    An AI-powered financial chatbot that answers complex market and company-related questions by combining real financial data with company reports using Retrieval-Augmented Generation (RAG).

    Python