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hetachavda/README.md

Heta Chavda 📫

Education ✨

  • Master of Data Analytics, University of Niagara Falls, Niagara Falls, ON, Canada (Oct. 2024 - Apr. 2026)
  • Master of Commerce, Advanced Accounting, Sardar Patel University, India (Jul. 2019 - Jul. 2021)

Experience ⚡⚡⚡

  • Data Analyst Co-op, Sense of Beauty Spa & Brow Bar, Niagara Falls, ON, Canada (Sep. 2025 - Dec. 2025)
  • Student Data Analyst, University of Niagara Falls, Niagara Falls, ON, Canada (Apr. 2025 - Jul. 2025)
  • Data Analyst, Anblicks, Ahmedabad, India (Apr. 2023 - Sep. 2024)
  • Associate Data Analyst - Client: CCIL/RBI, Munimshree Accounting & Tax Services, Dakor, India (Aug. 2021 - Mar. 2023)

Technical Skills 🔭

  • Languages: Python, SQL
  • Data Visualization Tools: Power BI, Tableau, Looker Studio
  • Libraries: Pandas, NumPy, Matplotlib, scikit-learn
  • Data Analysis & Reporting: Power BI (DAX, Power Query), Advanced Excel (PivotTables, Formulas, Charts, Data Validation), KPI Reporting, Trend & Variance Analysis, Root-Cause Analysis
  • Database and ETL Tools: MySQL, Snowflake, Relational Databases, Azure Data Factory (ADF), ETL, Automated Data Pipelines
  • Data Quality & Validation: Multi-source Data Collection & Consolidation, Data Validation, Data Accuracy & Consistency, Data Quality Checks
  • Digital Analytics: Google Analytics 4 (GA4), Google Tag Manager
  • Business Analysis: Requirements Gathering, Process Improvement, Stakeholder Communication, Cross-functional Collaboration
  • Version Control: Git/GitHub
  • Developer Tools: JIRA

Certifications 🎓

  • Google Data Analytics Professional Certificate (In Progress)
  • Bloomberg Market Concepts (BMC)
  • SQL - HackerRank
  • Databricks Fundamentals
  • Introduction to JIRA

Featured Projects 🏆

A selection of projects demonstrating practical experience in data analysis, business intelligence, predictive modeling, visualization, database design, and optimization.

🌫️ PM2.5 Air Pollution Analysis & Prediction

Python · Power BI · Linear Regression · Random Forest · ARIMA/SARIMA

Engineered an end-to-end analytics pipeline using NAPS air-quality data from 2020–2023. Built and compared predictive models to forecast PM2.5 levels and developed interactive Power BI dashboards to identify high-risk regions.

View Project →

🏦 Bank Loan Repayment Analysis

Python · Pandas · scikit-learn · Machine Learning

Developed a classification model to identify customers at risk of loan default. Performed data preprocessing, exploratory analysis, feature evaluation, and model comparison, achieving a ROC-AUC score of 0.915.

View Project →

📱 Google Play Store Predictive Analytics

Python · Pandas · Machine Learning · NLP

Analyzed application ratings and customer reviews to identify factors associated with user satisfaction. Applied sentiment analysis and compared five machine-learning models for predictive analysis.

View Project →

🎯 Customer Marketing Segmentation

Python · K-Means · Excel · Customer Analytics

Applied K-Means clustering to segment customers into four distinct behavioral groups and translated analytical findings into targeted marketing opportunities.

View Project →

⚡ Electric Vehicle Adoption Analysis

Tableau · Data Visualization · Trend Analysis

Built an interactive Tableau analysis of 14.8K+ electric vehicle registrations, examining adoption patterns, vehicle types, manufacturers, geographic trends, and BEV versus PHEV distribution.

View Project →

🚗 Car Dealership Database System

MySQL · SQL · Database Design · 3NF

Designed a fully normalized relational database for 8+ dealership entities and developed SQL queries using JOINs, aggregations, and GROUP BY to analyze sales performance and support future forecasting.

View Project →

📂 Additional Projects

Project Focus Technologies
Housing & Bike-Sharing Analytics Predictive and prescriptive analytics Python Power BI
Urban Public Transit Route Optimization Transportation scheduling and optimization Python OR-Tools
End-to-End Python Data Analysis Data cleaning, EDA and analytical modeling Python Pandas
Customer Behavior Models Regression, classification and clustering Python SQL Power BI
Uber vs Lyft Comparative Analysis Statistical analysis of ~650K ride records Python Statistics
PESTEL Analysis — Ethanol Blending Policy, economic and strategic analytics Python Analytics
Ethics in Prescriptive Analytics Responsible analytics and data privacy Optimization

🤝 Let's Connect

It's time to schedule the interview! 🚀

I'm open to Data Analyst,and Business Analyst opportunities where I can turn complex data into actionable business insights.

📧 Email: hetachavda16@gmail.com 💼 LinkedIn: linkedin.com/in/hetachavda 🌐 Portfolio: hetachavda.github.io

Let's turn data into decisions.

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  1. pm25-capstone-jupyter pm25-capstone-jupyter Public

    PM2.5 Air Pollution Prediction using Machine Learning & Time-Series Models (Python, Power BI, NAPS Data)

    Jupyter Notebook