Joshua Scantlebury

Data Analytics | Data Science
Passionate about transforming data into actionable insights

🔧 Tech Stack: Python, SQL, R, Scikit-learn, TensorFlow/PyTorch, Gurobi, Tableau, PowerBI, Pandas, NumPy, AWS, Git, Bayesian Analysis, NLP, Time Series Forecasting, Optimization Models

🚀 Projects

Predicting NBA Player Performance

Python, NBA API, Scikit-learn, Ridge Regression, Feature Engineering
Developed a model using public NBA data to predict player scoring, outperforming simple averages by capturing trends via rest days, home-court advantage, and rolling stats.

Results: Improved accuracy by 12% vs. baseline models.
Blog: Predicting NBA Performance with Free Data

Data-Driven Marketing for Shine Inc.

Python, RFM Analysis, Market Basket Analysis, ARIMA
Boosted sales forecasts by $32K/month for a cosmetics company by identifying high-value customer segments and optimizing product bundles.

Key Tech: SQL for segmentation, ARIMA for sales forecasting.

Multiclass Classification Optimization

Python, Random Forest, Bayesian Analysis, PCA
Tackled class imbalance and feature correlation, achieving a 6.25% F1-score improvement using feature-selected Random Forests and Bayesian uncertainty estimation.

Repo: GitHub

Clinical Trial Labeling Automation

Python, Transformers (Hugging Face), NLP, Multi-Label Classification
Built a deep learning model to auto-label clinical trial termination reasons, reducing manual curation time by 40% in data-rich cases.

Repo: GitHub

Automating High-Impact Article Selection

Python, Random Forest, NLP, Scikit-learn
Automated article curation with 66% accuracy, targeting content likely to exceed 1400 shares for 25% higher engagement.

Repo: GitHub

Fraud Detection at AJOS Bank

Python, Random Forest, SMOTE, Imbalanced Learning
Reduced fraud losses with a 99.9% accurate model by balancing data (60:40 fraud ratio) and optimizing feature selection.

Repo: GitHub

Spare Parts Logistics Optimization

Python, Gurobi, Pandas, Operations Research
Cut costs by $150K+ via a depot allocation model with real-world constraints (supplier limits, capacity, service levels).

Repo: GitHub

NYC Airbnb Pricing Strategy

Tableau, Market Analysis, Data Visualization
Delivered a dashboard guiding pricing decisions ($190/night benchmark) and renovation ROI analysis.

🌟 Interests

Cinema & Storytelling: Blending narrative techniques into data communication.
Sports Analytics: Merging basketball passion with predictive modeling.
Health Tech Advocacy: Promoting wellness through data-driven habits.
Cultural Exploration: Drawing inspiration from global travel.

📬 Let’s Connect!

LinkedIn: Joshua Scantlebury
Email: jd.scantlebury@hotmail.com
GitHub: joshdscan

Open to collaborations, data challenges, and geeking out over the latest in ML!