Alexchandar Joshva

Alexchandar Joshva

I enjoy making sense of messy data by questioning assumptions, finding meaningful patterns, and presenting insights people can actually use.

resume email linkedin github Mumbai, India

Projects

HR Analytics & EDA: Employee Workforce Report Python · Pandas · Matplotlib

A comprehensive exploratory data analysis of 1,020 employee records, taking it from messy raw data to actionable business intelligence. Cleaned missing values using grouped median imputation, analyzed salary distributions across departments, and uncovered a critical compensation misalignment: top performers earning as low as $50K while poor performers earn up to $119K. Built visualizations highlighting retention risks, regional salary patterns, and the impact of remote work on performance.

Salary Distribution High Earners, Excellent Performance High Earners, Poor Performance Low Earners, Excellent Performance Low Earners, Poor Performance Top 7 Highest Paid Top 7 Lowest Paid

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View Full Report → GitHub ↗
Beyond the Pokedex: Analytics on 1,032 Pokemon Python · Pandas · Seaborn

A comprehensive exploratory data analysis of 1,032 Pokemon records across 8 generations to determine what truly makes a Pokemon strong. Analyzed Base Stat Totals (BST) against typings, legendary status, evolution stage, weight, and catch rate. Calculated correlations to uncover that Attack drives overall power more than any other stat, while experience growth rate barely matters. Built detailed visualizations to prove that "power creep" happens in spikes rather than gradually, and identified Steel as the game's ultimate defensive typing.

Attack and Strength BST vs Weight Final Evolution and Strength Average Power Across Generations Legendary vs Non-Legendary BST vs Catch Rate Top 10 Strongest Types Top 10 Weakest Types Legendary Percent by Type 1 Legendary Percent by Type 2 Damage Taken (Primary Type) Damage Taken (Secondary Type) Highest Z-Scores Lowest Z-Scores Experience and Strength

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View Full Report → GitHub ↗

Skills

Languages: Python (OOP), SQL (MySQL)
Data Analysis: Pandas, NumPy, Statistical Analysis, Exploratory Data Analysis (EDA)
Visualization & BI: Power BI, Matplotlib, Seaborn
Tools: Excel, Git, Jupyter Notebook, VS Code

Education

B.Sc in Data Science 2023 – 2026

K.E.S. Shroff College of Arts and Commerce, University of Mumbai. CGPA: 7.73/10

Certificates

Python for Data Science | IBM (Cognitive Class), Dec 2023
Machine Learning Algorithms | Great Learning Academy, Nov 2023

I am currently open to new opportunities in Data Analysis. Feel free to say hi at alexchandarjoshva@gmail.com.


P.S. Looking for my AI/ML engineering work, startups, and open-source projects? Check out my developer portfolio.