Skip to content
View ananyapatkar's full-sized avatar

Block or report ananyapatkar

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
ananyapatkar/README.md

Hey, I'm Ananya

I'm a data analyst who gets genuinely excited about finding the story hiding inside a messy dataset. I've worked with real business data during my internship and I build projects that solve actual problems — not just tutorials I followed along with.

Currently looking for a full-time Data Analyst role where I can do work that matters.


🛠️ What I Work With

Languages & Querying Python · SQL · Pandas · NumPy

Visualization & Reporting Power BI · Matplotlib · Seaborn · Excel (Pivot Tables, dashboards)

Tools Google Colab · Jupyter Notebook · Git · Excel


📌 Projects Worth Looking At

🧠 HR Analytics — Employee Attrition Prediction

Built an end-to-end ML pipeline to predict which employees are likely to leave a company. Used Logistic Regression and Decision Tree models, then added SHAP analysis to explain why the model flags each employee, not just what it predicts. Wrapped the whole thing into an interactive Power BI HR dashboard so non-technical stakeholders can actually use it. ➡️ View Project

🏦 Bank Loan Approval — Power BI Analysis

Analyzed bank loan application data to surface approval rates, credit score impact, and customer demographics. Built as a decision-support dashboard to help lending teams make faster, data-backed calls. ➡️ View Project

🛒 Superstore Sales Dashboard — Power BI

Full Power BI dashboard on the Superstore dataset. Covers data cleaning, DAX measures, KPI cards, interactive slicers, and profit analysis broken down by region and category — the kind of dashboard a sales manager could actually open on a Monday morning. ➡️ View Project

🏏 IPL Win Predictor

Predicted IPL match outcomes using historical match data and Python. Built in Jupyter Notebook — part sports analytics, part excuse to combine two obsessions. ➡️ View Project


🔨 Currently Working On

  • Building a end-to-end data project with Python + SQL + a Power BI dashboard (real dataset, full pipeline)
  • Deepening my SQL — window functions, CTEs, subqueries
  • Learning the basics of data storytelling for non-technical audiences

📬 Let's Connect

I'm actively looking for full-time opportunities. If you're hiring or just want to talk data, I'd love to hear from you.


Open to full-time data analyst roles. Available immediately.

Pinned Loading

  1. hr-analytics-attrition-prediction hr-analytics-attrition-prediction Public

    Machine Learning & Power BI project to analyze, predict, and explain employee attrition using Logistic Regression, Decision Tree, SHAP analysis, and interactive HR dashboard.

    Jupyter Notebook

  2. ipl-win-predictor ipl-win-predictor Public

    Jupyter Notebook

  3. Powerbi-superstore-dashboard Powerbi-superstore-dashboard Public

    Power BI dashboard project using the Superstore dataset. Includes data cleaning, DAX measures, KPI cards, interactive visuals, slicers, and business insights for sales and profit analysis.

  4. Bank-Loan-Approval-Analysis-PowerBI Bank-Loan-Approval-Analysis-PowerBI Public

    A professional Power BI dashboard analyzing bank loan applications, approval rates, credit score impact, and customer demographics to support data-driven lending decisions.