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rishabh163/README.md

Hi, I'm Rishabh

AI/ML and Generative AI intern aspirant | Python | SQL | LLM apps | RAG

I build practical AI and data projects and I am looking for Generative AI, AI Engineer and AI/ML internships ([remote / on-site - write your preference]).

What I'm building

  • SQLMentor AI - AI-powered SQL practice tutor using Streamlit, SQLite and LLMs. (https://sqlmentorai.onrender.com/)
  • PDF RAG Chatbot - answers questions from PDFs with page citations (in progress)
  • End-to-end ML project - prediction model with evaluation and deployment (planned)

Tech stack

  • Languages: Python, SQL
  • Data: Pandas, NumPy, Matplotlib, Plotly
  • ML / AI: scikit-learn, LLM APIs (Gemini, Groq), prompt engineering, RAG (learning and building)
  • Tools: Git, GitHub, Streamlit, SQLite, Render
  • Learning next: FastAPI, Docker, vector databases, cloud basics

Featured projects

Project What it does Tech
SQLMentorAI AI SQL practice environment with hints and safe query execution Streamlit, SQLite, LLM
Generic Analytics Dashboard Upload CSV/Excel and get cleaning, EDA and charts automatically Streamlit, Pandas, Plotly
Aravali Forest Analysis Statistical analysis of forest cover trends, 2015-2023 Python, Pandas
Thar Desert Climate Analysis 24 years of climate data: temperature, rainfall, trends Python, Matplotlib

Experience

  • Data Analysis Intern - HighSky
  • Python Intern - HighSky/Internshala
  • IIT Patna - AI/ML course

Connect

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  1. Aravali-Forest-Analysis Aravali-Forest-Analysis Public

    Statistical analysis of forest cover trends in Aravali districts (2015–2023) using Python.

    Python

  2. generic-automated-data-analytics-dashboard generic-automated-data-analytics-dashboard Public

    Streamlit dashboard that cleans and explores any CSV or Excel file with Plotly charts

    Python

  3. SQLMentorAI SQLMentorAI Public

    AI-powered SQL practice tutor with LLM hints, safe SQLite execution and a live demo

    Python

  4. Thar-Desert-Climate-Analysis Thar-Desert-Climate-Analysis Public

    “Analyzing 24 years (2000–2024) of Thar Desert climate data to visualize temperature rise, rainfall patterns, and climate trends using Python.”

    Python