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Deepanshu4284/README.md

Hey, I'm Deepanshu πŸ‘‹

Data Analyst | SQL Β· Python Β· Power BI Β· AI/RAG
πŸ“ Chennai, India Β |Β  πŸ“§ deepanshumohanty@gmail.com Β |Β  πŸŽ“ B.E. CCE @ Rajalakshmi Institute of Technology (2026)


🧠 About Me

I'm an entry-level Data Analyst who turns messy datasets into clean, actionable insights. I build interactive dashboards, automate data workflows, and lately I've been bridging analytics with AI β€” building RAG pipelines and LLM-powered tools.

I also co-founded Luminix, a D2C clothing brand where I wore the analyst hat in real-time β€” tracking Meta Ads performance, managing KPIs, and making data-driven calls that drove β‚Ή1.2L+ in revenue.


πŸ› οΈ Tech Stack

Category Tools
SQL MySQL, SQLite
Python Pandas, NumPy
BI & Visualization Power BI, DAX, Power Query
Excel Advanced Excel, Pivot Tables, XLOOKUP
AI / ML LangChain, RAG, FAISS, Generative AI
Tools Git, GitHub, Jupyter Notebook, VS Code, Microsoft Fabric

πŸ“Š Featured Projects

Excel Β· SQL Β· Power BI

Analyzed 466+ orders across 4 regions and 5 product categories. Tracked β‚Ή61.77 Cr in revenue and β‚Ή20.15 Cr in gross profit (avg 34.5% margin). Identified laptops as the #1 category and Q4 as peak quarter. Built dynamic KPI dashboards for regional and category decision support.


Power BI

Interactive dashboard across 3.9K customer records β€” purchase behavior, review ratings, and category-level trends. Found Clothing as the top revenue driver and Young Adults as the highest-spending segment. Includes dynamic filters for subscription, gender, category, and shipping type.


Power BI Β· Star Schema

End-to-end BI solution for a food delivery platform. Built a star schema data model (fact + dimension tables) and designed visualizations for monthly revenue trends, restaurant performance, cuisine distribution, and city-level order analysis.


Python Β· LangChain Β· FAISS Β· RAG

RAG-based Q&A app that lets you query unstructured PDFs using natural language. Built with LangChain for orchestration and FAISS for vector search β€” a practical demo of AI integration for analytics automation.


πŸ“œ Certifications

  • πŸ… Power BI Data Analytics 3.0 β€” Codebasics (May 2026)
  • πŸ… Advanced Excel β€” Codebasics (Jan 2026)
  • πŸ… LangChain & AI Agents β€” Udemy (Oct 2025)
  • πŸ… Generative AI with LLMs β€” Coursera Γ— AWS & DeepLearning.AI (Aug 2025)
  • πŸ… Python Bootcamp β€” Udemy (Mar 2025)

πŸ“ˆ What I'm Working On

  • Deepening Power BI + Microsoft Fabric skills
  • Exploring more LLM-powered analytics tools
  • Building a portfolio of end-to-end data projects

πŸ“« Let's Connect

LinkedIn Portfolio Email


"Data is the closest thing to having a time machine β€” it tells you what happened and hints at what's next."

Pinned Loading

  1. langchain-csv-agent langchain-csv-agent Public

    This project implements an autonomous agent using LangChain's ReAct framework and a locally-run Ollama LLM. The agent is equipped with a Python REPL tool, allowing it to perform data analysis on a …

    Python

  2. langchain-qa-doc-helper langchain-qa-doc-helper Public

    LangChain Document Helper is an AI tool that answers questions from PDF or text documents. It uses LangChain, Hugging Face Transformers, and FAISS for semantic search, splitting documents into chun…

    Python