Skip to content
View Srijan1683's full-sized avatar
👨‍🍳
Cookin
👨‍🍳
Cookin

Block or report Srijan1683

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Srijan1683/README.md

Hi, I'm Srijan Banerjee 👋

Backend Developer · Python Developer · AI Application Builder · Data Analyst

I build practical backend systems and AI-powered applications with Python - REST APIs, async workflows, LLM integrations, caching, databases, and document processing pipelines. My projects span full-stack AI agents, document study tools, web scrapers, and URL shorteners, all built with production-grade patterns in mind.

B.Tech CSE graduate based in New Delhi. Open to entry-level Backend Developer, Python Developer, Data Analyst, and AI Development roles.

Portfolio LinkedIn LeetCode Email


🛠️ What I Work With

Languages: Python · SQL · HTML · CSS

Backend & APIs: FastAPI · REST APIs · asyncpg · PostgreSQL · Redis · httpx · BeautifulSoup · SSE · Pydantic · Uvicorn

AI & Data: OpenRouter · ChromaDB · RAG · Streamlit · Pandas · NumPy · Matplotlib · Seaborn · Excel

Tools: Git · GitHub · Docker · Tableau · Render · Netlify · VS Code · Jupyter · Notion · Obsidian


💼 Experience

Data Analytics Intern — NITI Aayog, Government of India Worked under the Data Management and Analytics Vertical, contributing to high-impact, data-driven projects:

  • Analyzed and visualized large government datasets using Tableau, supporting the National Data and Analytics Platform (NDAP) with actionable insights for internal reporting.
  • Performed exploratory data analysis (EDA) on state-level data to develop the Madhya Pradesh Report, identifying key trends across NDAP datasets.
  • Designed and evaluated a KPI framework with 10+ metrics including engagement rate, churn rate and mentor-mentee interaction for the Women Entrepreneurship Platform (WEP).

📊 GitHub Stats

Pinned Loading

  1. The-Rabbit-Hole The-Rabbit-Hole Public

    An AI agent that falls deeper into any topic — books, papers, podcasts, and videos, all connected.

    Python 2

  2. web-scraper-cache-shortener web-scraper-cache-shortener Public

    FastAPI-based web scraper that turns HTTPS pages into structured scrape data, markdown exports, AI-generated summaries, and short links, with Redis/in-memory caching and a job-based scrape pipeline.

    Python 1

  3. Meridian Meridian Public

    Deep research agent with semantic memory, web search, citations, and streaming responses.

    Python 2

  4. BookReader BookReader Public

    Turn PDFs and text files into AI-generated study slide decks with OpenRouter, Streamlit, chat support, and PowerPoint export.

    Python 1

  5. DSA-practice DSA-practice Public

    A topic-wise collection of my Data Structures and Algorithms practice solutions. Includes clean Python solutions for LeetCode-style problems, organized for quick revision and tracking progress.

    Python 1

  6. Portfolio-Website Portfolio-Website Public

    My personal portfolio website built with HTML, CSS, and JavaScript.

    HTML 1