Portfolio

Welcome to my portfolio of data analysis and Python projects, showcasing skills in data manipulation, statistical analysis, visualization, and interactive application development.

Projects are grouped by Data & Product Analysis first, followed by Python mini-projects and exercises.

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📊 Data & Product Analysis Projects

Project	Description	Link
Spotify 2023 Data Analysis & Product Insights	Comprehensive statistical analysis of Spotify's top-streamed songs in 2023. Includes temporal and correlation analyses, t-tests, bootstrap confidence intervals, and interactive visualizations. Developed in R with an RMarkdown workflow, fully reproducible.	Live Report / Repo

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🖥 Complete Python Projects

Project	Description	Link
Hangman Game	Step-by-step development of the classic Hangman game. Modular, interactive, and includes file-based word selection.	Repo

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📂 Python Mini-Projects & Exercises

Project	Description	Link
Python Exercises & Mini-Projects	Collection of small exercises demonstrating variables, conditionals, loops, functions, and data manipulation.	Repo
Grocery List Manager	Text-based menu program to manage grocery lists with input validation, duplicate removal, and interactive options.	Repo
Taylor Swift Interactive Menu	Playful menu-driven program combining input validation, dates, and Swift-inspired fun.	Repo
File Services Interactive Menu	Menu-driven program to read, manipulate, and analyze text files (sort words, reverse lines, extract last N lines).	Repo
Custom Arrowhead Graphic	Terminal program to create custom arrowhead graphics with input validation and modular design.	Repo

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🛠 Skills Demonstrated

Data & Analysis

• Data cleaning, transformation, and wrangling in R
• Statistical testing: t-tests, bootstrap confidence intervals, multiple testing corrections
• Correlation and temporal trend analysis
• Visualization with ggplot2 and interactive RMarkdown reports
• Reproducible workflows in R and RMarkdown
• Interactive HTML reports with responsive design, dark mode support, and expandable code blocks

Python & Programming

• Modular program design & reusable functions
• List, set, and string manipulation
• File I/O (reading/writing files)
• Input validation and error handling
• Control flow with loops and conditionals
• Step-by-step development from exercises to complete interactive applications