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ishika-shandilya/README.md

Hi, I'm Ishika Shandilya 👋

Data Analyst | Economics + Data Science | Delhi University

I turn raw data into business decisions — combining an Economics Honours background with hands-on skills in SQL, Python, and Power BI.

Currently in my final semester at Delhi University, actively seeking Data Analyst roles (remote/international).


🛠️ Skills

Analytics & BI: SQL (CTEs, Window Functions, Subqueries) · Power BI · Excel
Programming: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn)
Domain: Revenue Analysis · Customer Segmentation · Churn Analytics · Funnel Analysis
Currently learning: Machine Learning · Streamlit · Statistics for Data Science


📂 Featured Projects

Identified ₹8.77M revenue leakage and ₹12.86M recovery opportunity for a broadband ISP
SQL Python Power BI | 250K+ records across 10 relational tables

Segmented retail customers by Recency, Frequency & Monetary value to drive targeted retention
Python Pandas Matplotlib

Analyzed utilization and profitability patterns across an EV charging network
Python Jupyter Notebook


📊 What I'm Working On

  • 🔨 Building a Telecom Churn Prediction model (XGBoost + SHAP + Streamlit deployment)
  • 📖 Completing B.A. (Hons.) Economics — Delhi University (2025)
  • 🌍 Open to remote data analyst roles in US, UK, and Europe

📫 Let's Connect

LinkedIn GitHub

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  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