Skip to content
View ishika-shandilya's full-sized avatar
🎯
Focusing
🎯
Focusing
2 followers · 1 following

Block or report ishika-shandilya

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
ishika-shandilya/README.md

Hi, I'm Ishika Shandilya 👋

GenAI Developer (in progress) · Data Analyst · Economics × AI
Building RAG pipelines & LLM applications · SQL · Python · Power BI · LangChain

LinkedIn Gmail Profile views

🧠 About Me

  • 🎓 B.A. (Hons.) Economics — Kalindi College, University of Delhi · 2022–2026
  • 📜 PG Program in Data Science & Analytics — Imarticus Learning · 2025–2026
  • 🤖 Currently building: RAG pipelines · LangChain · LangGraph · Agentic AI
  • 💼 Open to: GenAI Developer · AI Application Engineer · Data Analyst · Business Analyst roles
  • 🏦 Domain edge: Economics background applied to financial analytics, RBI policy data & India trade economics
  • 📍 Delhi, India · Open to remote roles

🛠️ Tech Stack

GenAI & LLM (actively building)

LangChain OpenAI ChromaDB HuggingFace Streamlit

Data & ML

Python SQL Scikit-learn Pandas NumPy Power BI Excel

🚀 Featured Projects

Project Stack Impact
📡 Broadband Revenue Leakage & Risk Analysis SQL · Python · Power BI Identified ₹8.77M leakage + ₹12.86M recovery across 250K+ records, 10 relational tables
🛒 E-commerce Conversion Funnel Analysis SQL · Power BI Found ₹45M revenue leakage from 19K+ user interactions · 10.49% conversion rate
🧬 ME/CFS & Depression Prediction — Live App Python · Scikit-learn · Streamlit · Pickle Random Forest 99.7% accuracy · Deployed Streamlit web app
🏠 House Price Prediction with PCA Python · Scikit-learn 81 features → 63 PCA components · 75% variance retained · R² improved from near-zero
🛍️ RFM Customer Segmentation Python · Pandas · Matplotlib Segmented retail customers by Recency, Frequency & Monetary value for targeted retention
⚡ EV Charging Network Analytics Python · Pandas Utilisation & profitability patterns across EV charging network

🔨 Coming soon: Document Q&A RAG Chatbot · Agentic Market Research Assistant · RBI Policy Analyser (Economics × GenAI)

📊 GitHub Stats

GitHub Stats Top Languages

🗺️ Current Focus — 45-Day GenAI Roadmap

⬅ Phase 1 (Days  1– 9)  → LLM Foundations · OpenAI API · LangChain
  Phase 2 (Days 10–20)  → RAG Pipeline · Project 1: Document Q&A Chatbot
  Phase 3 (Days 21–30)  → Agents · LangGraph · Project 2: Agentic Assistant
  Phase 4 (Days 31–38)  → Production skills · Project 3: Economics × AI Tool
  Phase 5 (Days 39–45)  → Job push · Interview prep

Updated daily — follow along ⭐

Economics graduate building at the intersection of domain knowledge and AI.
Every project solves a real business problem with quantified impact.

Pinned Loading

  1. broadband-analytics-revenue-risk broadband-analytics-revenue-risk Public

    End-to-end analytics project identifying ₹8.77M revenue leakage and customer risk using SQL, Python, and Power BI.

    Jupyter Notebook

  2. ecommerce-funnel-analysis ecommerce-funnel-analysis Public

  3. EV-Charging-Network-Utilization-Profitability-Analytics EV-Charging-Network-Utilization-Profitability-Analytics Public

    Operational and profitability analytics for an EV charging network using Python and SQL

    Jupyter Notebook

  4. RFM-Model RFM-Model Public

    RFM model on Superstore Dataset

    Jupyter Notebook