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  • Amazon
  • Ontario, Canada
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  • Joined Aug 31, 2025

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hetachavda/README.md

Hi 👋, I'm Heta Chavda

🎓 Data Analyst | Master’s Student in Data Analytics @ University of Niagara Falls (ON)

💻 SQL • Python • Power BI • Tableau • ETL • Machine Learning • Optimization

  • 🔭 Working on Database Systems and Predictive Analytics Pipelines
  • 🌱 Currently exploring MLOps, DataOps, and Analytics Engineering
  • 💬 Ask me about SQL, Python (Pandas, Scikit-learn), Power BI/Tableau, Optimization Modeling
  • 📫 Reach me at: [email protected]
  • 👨‍💻 All of my projects are available at github.com/hetachavda

Let's Connect

LinkedIn
Email

🛠️ Tech Stack

  • Languages & Tools: SQL | Python | R | Git | Excel (Advanced)
  • Visualization & BI: Power BI | Tableau | Matplotlib | Seaborn
  • Data Engineering: ETL Pipelines | APIs | Web Scraping | Data Cleaning | Query Optimization
  • Machine Learning: Regression | Classification | Forecasting | NLP | Optimization Modeling

✨ Passionate about turning raw data into actionable insights that drive smarter business decisions!

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  1. Bank-Loan-Repayment-Analysis Bank-Loan-Repayment-Analysis Public

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

  2. Marketing-Segmentation-Analysis Marketing-Segmentation-Analysis Public

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

  3. Predictive-Analysis-with-Housing-Prices-Dataset-Prescriptive-Analysis-with-Bike-Sharing-Dataset Predictive-Analysis-with-Housing-Prices-Dataset-Prescriptive-Analysis-with-Bike-Sharing-Dataset Public

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

  4. PREDICTIVE-ANALYTICS-FOR-GOOGLE-PLAY-STORE-REVIEWS-AND-RATINGS PREDICTIVE-ANALYTICS-FOR-GOOGLE-PLAY-STORE-REVIEWS-AND-RATINGS Public

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

  5. Route-Optimization-of-Urban-Public-Transportation Route-Optimization-of-Urban-Public-Transportation Public

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

  6. Uber-VS-Lyft-Comparative-Analysis-A-Data-Driven-Method Uber-VS-Lyft-Comparative-Analysis-A-Data-Driven-Method Public

    A statistical analysis comparing Uber and Lyft pricing strategies, user switching behavior, and market demand trends using Python and statistical modeling.