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📊 Lucy Kamau — Data Science Portfolio

Remote Data Consultant | Analytics Strategist | Python • SQL • Power BI | AI + Web3 | Open to Clients & Grants

Welcome to my portfolio! I use data science to drive smarter decisions for businesses, founders, and global communities. Below is a showcase of my ongoing and completed data projects across various industries, including business, economics, healthcare, and cryptocurrency markets.

🔍 Featured Projects

💰 Gender Pay Gap Analysis

Tools: Python, Pandas, Matplotlib, Seaborn
Objective: Investigate wage disparities between males and females using Kaggle wage data
Key Insights:

  • Conducted statistical significance tests
  • Visualized gender-based wage trends over time
  • Highlighted persistent disparities across roles

🛒 E-Commerce Data Analytics

Tools: MySQL, Python, Matplotlib
Objective: Explore trends, revenue patterns, and top-performing product categories using Kaggle eCommerce data
Highlights:

  • Identified top revenue drivers
  • Used SQL joins and aggregations for business insight
  • Visualized top brands and sales by category

🏥 Statistical Investigation: Healthcare Access & Equity

Tools: Python, Pandas, WHO GHO dataset
Objective: Explore the relationship between healthcare professionals and hospital bed availability
Highlights:

  • Correlating the healthcare workforce to hospital capacity
  • Regional analysis of midwives and nursing staff per 10,000 population
  • Identified equity gaps across countries

📈 BTC/USD Price Prediction (Supervised ML)

Tools: Python, Scikit-learn, Regression models
Objective: Predict Bitcoin prices using regression techniques and technical indicators
Highlights:

  • Engineered lag features + indicators
  • Compared Linear, Ridge, and Random Forest regressors
  • Evaluated using MAE, RMSE

🧠 BTC/USD Price Clustering (Unsupervised ML)

Tools: KMeans, DBSCAN, PCA, Python
Objective: Uncover patterns and anomalies in BTC price data using clustering algorithms
Highlights:

  • Discovered latent clusters in BTC price behavior
  • Detected outliers using DBSCAN
  • Reduced dimensions with PCA
  • Evaluated clustering using Silhouette Score

🧰 Core Stack

Python SQL Power BI GitHub Machine Learning Statistics

💼 About Me

I’m Lucy — a data consultant and founder of Ishlu Analytics, helping creators, founders, and mission-driven orgs make smarter decisions with data.

💡 Open to:

  • Remote freelance projects
  • Grant-funded research
  • Web3/Bitcoin analytics
  • Dashboards + ML consulting

📬 LinkedInEmail

“Let’s build data tools that don’t just inform — they transform.”

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