Jay Kachhadiya

Passionate about transforming complex data into actionable insights and building robust data pipelines to drive business decisions.

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About Me

I am currently pursuing a Master’s in E-Government at the University of Koblenz, specializing in turning raw data into actionable insights. Skilled in SQL, Python, Data Analytics Tools, and Machine Learning, complemented by hands-on experience with ETL processes and Cloud Platforms. Proven ability to uncover trends, identify opportunities, and drive data-driven decision-making. Looking to contribute to a dynamic team and make a meaningful impact.

Technical Skills

My toolbox for data wrangling, analysis, visualization, and modeling.

Python R SQL Pandas NumPy Matplotlib Seaborn Scikit-learn ETL Machine Learning Statistical Analysis Power BI Tableau Google Cloud (BigQuery) AWS Databricks Jupyter Notebook Git Excel

Certificates & Credentials

My commitment to continuous learning and professional development.

Data Analysis and Visualization with Power BI

Data Analysis and Visualization with Power BI

Power BI Dashboard Data Visualization
Advanced Data Visualization with Tableau

Advanced Data Visualization with Tableau

Tableau Data Analysis Storytelling
Data Analysis with Python

Data Analysis with Python

Python Pandas NumPy EDA
Machine Learning with Python

Machine Learning with Python

Scikit-Learn Python Visualization
BigQuery for Data Analysts

BigQuery for Data Analysts

SQL BigQuery Google Cloud Platform
Getting Started with Data Analytics on AWS

Getting Started with Data Analytics on AWS

AWS Analytics Cloud Big Data
Extract, Transform and Load Data in Power BI

Extract, Transform & Load Data in Power BI

ETL Power Query Power BI
Data Modeling in Power BI

Data Modeling in Power BI

Star Schema DAX Modeling
Harnessing the Power of Data with Power BI

Harnessing the Power of Data with Power BI

Power BI Visualization Collection
Preparing Data for Analysis with Microsoft Excel

Preparing Data for Analysis with Microsoft Excel

Excel Data Cleaning Data Preparation
Microsoft PL-300 Exam Preparation and Practice

Microsoft PL-300 Exam Preparation and Practice

PL-300 Power BI DAX Copilot
Data Analysis and Visualization with Power BI

Data Analysis and Visualization with Power BI

Power BI Dashboard Data Visualization
Advanced Data Visualization with Tableau

Advanced Data Visualization with Tableau

Tableau Data Analysis Storytelling
Data Analysis with Python

Data Analysis with Python

Python Pandas NumPy EDA
Machine Learning with Python

Machine Learning with Python

Scikit-Learn Python Visualization
BigQuery for Data Analysts

BigQuery for Data Analysts

SQL BigQuery Google Cloud Platform
Getting Started with Data Analytics on AWS

Getting Started with Data Analytics on AWS

AWS Analytics Cloud Big Data
Extract, Transform and Load Data in Power BI

Extract, Transform & Load Data in Power BI

ETL Power Query Power BI
Data Modeling in Power BI

Data Modeling in Power BI

Star Schema DAX Modeling
Harnessing the Power of Data with Power BI

Harnessing the Power of Data with Power BI

Power BI Visualization Collection
Preparing Data for Analysis with Microsoft Excel

Preparing Data for Analysis with Microsoft Excel

Excel Data Cleaning Data Preparation
Microsoft PL-300 Exam Preparation and Practice

Microsoft PL-300 Exam Preparation and Practice

PL-300 Power BI DAX Copilot

Professional Experience

Where I've applied my skills to solve real-world problems.

Featured Projects

A selection of projects that demonstrate my capabilities.

Customer Churn Prediction

Customer Churn Business Case

Built churn models (LogReg, Random Forest) with 91.33% accuracy; identified key drivers like contract type and tenure.

Python Pandas Matplotlib Seaborn Statistics Machine Learning
Zomato Restaurants Analysis

Zomato Restaurants Analysis using Power BI

Power BI dashboards for 9,500+ restaurants across 15 countries: cuisine popularity, ratings, cost distributions.

Power BI DAX Data Modeling SQL Data Visualization
Exploring Trends in the Automotive Industry

Exploring Trends in the Automotive Industry Analysis using Tableau

Tableau dashboard analyzing car sales by fuel type, ownership, and dealer to reveal pricing trends.

Tableau SQL Data Analysis Data Visualization
Skin Disorder Prediction

Skin Disorder Prediction

Skin-disorder classification at 98.65% accuracy using RF, SVM, XGBoost; clean prep and clear visuals.

SVM Data Visualization Machine Learning Jupyter Notebook
INX Future Inc Employee Performance

INX Future Inc Employee Performance

Predicted employee salary levels using classification models (LogReg, RF, XGBoost) achieving 92.33% accuracy.

Python Scikit-Learn XGBoost Statistical Analysis Jupyter Notebook
Texas Salary Prediction

Texas Salary Prediction

End to end salary prediction using ML, 99.99% accuracy with clear, decision ready visuals.

Matplotlib Seaborn Data Cleaning Jupyter Notebook

My Academic Journey

Building a foundation in data and technology.

04/2024 – Present

M.Sc. E-Government

University of Koblenz

Focusing on the intersection of technology, data, and public administration to drive digital transformation. Key coursework includes Data Science for Public Sector, Digital Service Design, and IT Governance.

Data Science Machine Learning AI Computer Security Enterprise Architecture IT Governance E-Government Systems Design
07/2019 – 06/2022

Bachelor of Computer Applications (BCA)

Bhakta Kavi Narsinh Mehta University (BKNMU)

Gained a comprehensive foundation in computer science, including programming, database management, and software engineering. Specialized in data structures and algorithms.

Programming DBMS Data Structures Software Engineering Computer Networks Operating Systems (OS) Web Development

Languages

EN

English

Full Professional Proficiency

A1 A2 B1 B2 C1 C2
DE

German

Limited Working Proficiency

A1 A2 B1 B2 C1 C2

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities. Feel free to reach out!

Email

jaykachhadiya.is@gmail.com

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