Skip to content
View hetachavda's full-sized avatar

Block or report hetachavda

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
hetachavda/README.md

Hi, I'm Heta Chavda 👋

📊 Data Analyst | Machine Learning | Business Intelligence

Turning raw data into decisions that move the business.

PythonSQLPower BITableauscikit-learnPandasExcel

LinkedInGitHub


🎯 About Me

I'm a data analytics professional who loves finding the story hidden in the numbers. I work across the full analytics stack — from SQL databases and Python modeling to Power BI and Tableau dashboards — to help businesses make faster, smarter, data-driven decisions.

  • 🔭 Focused on predictive & prescriptive analytics
  • 🌱 Always exploring new ways to visualize and communicate insights
  • 💬 Ask me about machine learning, dashboards, and turning data into business impact

🛠️ Tech Stack

DomainTools
LanguagesPython, SQL
ML / Analyticsscikit-learn, Predictive Modeling, Clustering, Regression, Time-Series
Data WranglingPandas, NumPy, Excel
VisualizationPower BI, Tableau, Matplotlib, Seaborn
OptimizationGoogle OR-Tools, Linear/Integer Programming
DatabasesMySQL, Relational Design (3NF)

🚀 Featured Projects

🤖 Machine Learning & Predictive Analytics

ProjectHighlightTech
🏦 Bank Loan Repayment AnalysisPredicts loan defaults — ROC-AUC 0.915Pythonscikit-learn
📱 Google Play Store Predictive AnalyticsSentiment + rating forecasting, 5 ML modelsPythonML
🌫️ PM2.5 Air Quality ForecastingTime-series pollution prediction across citiesPythonARIMA
🐍 End-to-End Python Data AnalysisFull pipeline: cleaning → EDA → modelingPythonPandas
🚗 Customer Behavior ModelsRegression, classification & clustering combinedPythonSQLPower BI

📊 Business Intelligence & Dashboards

ProjectHighlightTech
🏠🚲 Housing & Bike-Sharing AnalyticsPredictive + prescriptive with Power BIPythonPower BI
Electric Vehicle Adoption Analysis14.8K EV registrations, BEV vs PHEV trendsTableau

🎯 Segmentation & Optimization

ProjectHighlightTech
🎯 Marketing Segmentation AnalysisK-Means → 4 actionable segmentsPythonExcel
🚦 Route Optimization (Public Transit)Bus scheduling with Google OR-Tools (MIP)PythonOR-Tools
🗄️ Car Dealership Database SystemMySQL relational DB, 9 entities, 3NFMySQLSQL

🔬 Research & Strategy

ProjectHighlightTech
🚗 Uber vs Lyft Comparative Analysis650K rides — statistical hypothesis testingPythonStatistics
🌱 PESTEL Analysis — Ethanol Blending (India)Policy analytics with correlation insightsPythonAnalytics
⚖️ Ethics in Prescriptive AnalyticsResponsible optimization & data privacyOptimization

📌 Each repository is a full case study — Business Problem, Dataset, Methodology, Key Insights, and Business Impact, with custom visuals and dashboards.


📈 GitHub Stats

Heta's GitHub Stats

Top Languages


💡 "Without data, you're just another person with an opinion."

Feel free to explore my projects and connect!

Pinned Loading

  1. Bank-Loan-Repayment-AnalysisBank-Loan-Repayment-AnalysisPublic

    Logistic Regression model predicting loan repayment vs default using financial attributes. Strong ROC-AUC (0.91) with business interpretability.

  2. Marketing-Segmentation-AnalysisMarketing-Segmentation-AnalysisPublic

    A marketing analytics project using K-means clustering to segment customers and design targeted 4P strategies based on demographics and behaviors.

    Python

  3. Route-Optimization-of-Urban-Public-TransportationRoute-Optimization-of-Urban-Public-TransportationPublic

    Operations analytics project using mathematical optimization and Python (Google OR-Tools) to improve urban bus routing and scheduling.

  4. PREDICTIVE-ANALYTICS-FOR-GOOGLE-PLAY-STORE-REVIEWS-AND-RATINGSPREDICTIVE-ANALYTICS-FOR-GOOGLE-PLAY-STORE-REVIEWS-AND-RATINGSPublic

    Machine learning project analyzing Google Play Store apps using EDA, sentiment analysis, clustering, regression, and time-series forecasting.

  5. Predictive-Analysis-with-Housing-Prices-Dataset-Prescriptive-Analysis-with-Bike-Sharing-DatasetPredictive-Analysis-with-Housing-Prices-Dataset-Prescriptive-Analysis-with-Bike-Sharing-DatasetPublic

    Predictive (housing price) and prescriptive (bike sharing) analysis using Python (EDA, preprocessing) and Power BI dashboards for business insights.

  6. Python-Data-Analysis-ProjectPython-Data-Analysis-ProjectPublic

    Python-based data analysis project covering EDA, preprocessing, and predictive modeling (regression, classification, clustering) with actionable insights.

    HTML