📊 Wilfrida Were – Portfolio

Welcome!

This is a curated hub of my data and AI projects, organized by industry. Each case study is designed to show how businesses, regardless of technical capacity can leverage data to drive smarter decisions.

You'll find:

• Projects built with simple, accessible tools for teams with limited resources
  👉 The goal is to demonstrate that even with minimal resources, businesses can uncover valuable insights and take strategic action through data.

• Projects powered by enterprise-level solutions for teams with deeper tech infrastructure
  👉 The goal is to deliver insights efficiently, securely, and at scale for organizations that support complex data systems.

💬 Let’s Collaborate

If you find a project that resonates with your business, team, or learning goals, feel free to explore, fork, or reach out. I welcome feedback, questions, and collaboration opportunities.

Whether you're a founder, analyst, or fellow builder, I’d love to hear how these insights could support your work.

🔗 Let’s Connect

Feel free to connect, follow, or support:

📚 Table of Contents

• Retail & E-commerce
• HR & Workforce
• Health & Wellness
• Entertainment & Media

🛍️ Retail & E-commerce

Retail Sales EDA (SQL)

• Goal: Explore retail sales data and uncover key insights for business strategy.
• Tools: SQL
• Methodology: EDA, reporting, aggregation, trend analysis
• Project Link

Retail Sales EDA (Python)

• Goal: Perform in-depth exploratory data analysis and visualizations on retail sales data.
• Tools: Python
• Methodology: EDA, data cleaning, visualization using Matplotlib & Seaborn
• Project Link

💼 HR & Workforce

Tech Layoffs Data Cleaning (SQL)

• Goal: Clean and prepare tech layoffs data for analysis to support HR decision-making.
• Tools: SQL
• Methodology: Data cleaning, validation, exploratory analysis
• Project Link

Tech Layoffs Tableau Dashboard

• Goal: Visualize trends in tech layoffs and provide actionable insights.
• Tools: Tableau
• Note: Built with Tableau Public, where data refresh is manual. In business environments, Tableau Desktop/Online connects directly to databases or warehouses for automated, real-time updates.
• Methodology: Dashboard design, KPI analysis, trend visualization
• Project Link

🧠 Health & Wellness

Mental Health EDA (Python)

• Goal: Analyze mental health data to uncover trends and correlations for wellness programs.
• Tools: Python
• Methodology: Data cleaning, exploratory analysis, visualization
• Project Link

🎵 Entertainment & Media

Spotify Data 2023 EDA

• Goal: Explore Spotify listening trends and provide actionable insights for content strategy.
• Tools: Python
• Methodology: Data cleaning, EDA, visualization, trend analysis
• Project Link

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