Rufus Black

Customer retention and cohort analysis using SQL and Power BI. This project explores repeat customer behavior, retention rates, and cohort performance over time.

Exploratory Data Analysis (EDA) of the Netflix Movies and TV Shows dataset using Python, pandas, matplotlib, and seaborn.

Power BI project analyzing the impact of delivery delays on customer satisfaction and revenue risk.

No description provided.

Modern crypto screener UI with CoinGecko data, performance comparison and exit strategy calculator.

Loud glassmorphism UI dashboard (React + Tailwind)

No description provided.

No description provided.

assembly game made with React JS

8-Ball Pool Game made on React.js

game created on React.js

UI-focused coffee web app with modular components and clean layout

End-to-end patient journey analytics for eye care products, covering adoption funnel, retention cohorts, and recommendation uplift.

Deep-dive credit card fraud detection project focusing on extreme class imbalance, precision-recall metrics, threshold tuning, and business cost trade-offs.

End-to-end Finance Portfolio Analytics project using Python, SQL and SQLite. Includes data ingestion, financial KPIs (returns, volatility, Sharpe), SQL views, visualizations and dashboard-ready outputs.

End-to-end market analytics: Python (yfinance) → SQLite (SQL views & KPIs) → optional Power BI dashboard.

HR Analytics project using SQLite — employee data analysis (departments, salaries, hires, terminations)

Crypto market analysis using Python (pandas, matplotlib, seaborn) and CoinGecko API. Includes price trends, volatility, correlation, trading volume and max drawdown analysis.

Customer segmentation using the RFM model. Identifies loyal, at-risk and lost customers; includes visuals and actionable business insights.

Exploratory Data Analysis of a Coffee Chain dataset using Python (pandas, matplotlib, seaborn).

Exploratory Data Analysis (EDA) of YouTube Trending Videos dataset using Python, pandas, matplotlib, seaborn, Jupyter Notebook.

SQL analysis on Sample Superstore (SQLite)

SQL analysis on the Chinook (SQLite) dataset: revenue trends, top customers, genres, RFM, cohorts.

SQL analysis on the Sakila (SQLite) dataset: monthly revenue & MoM, top films, staff & stores, category share, RFM, cohorts.

Exploratory Data Analysis (EDA) of retail sales using Python (pandas, matplotlib, seaborn). Includes data cleaning, visualizations, and business insights.

Customer Churn Dashboard — SQL + Python analytics project exploring customer retention patterns, churn rate by demographics and services, and key insights for telecom business strategy.

No description provided.

No description provided.

Creating a User Profile using data from JSON file

SPA using Flexbox & CSS Grid with JSON data