Applied Data Science

Projects

Interactive HTML analyses showcasing applied data science workflows, modeling choices, and business-relevant insights.

Project Gallery
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Global Data Center Sustainability Analysis

Machine Learning β€’ Sustainability β€’ Green AI β€’ XGBoost

Built the full analytical notebook behind the β€œToward Sustainable Artificial Intelligence” paper. This project explores global data center growth, renewable energy adoption, infrastructure scale, and sustainability patterns using data cleaning, feature engineering, EDA, clustering, regression, and machine learning model evaluation.

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Password Generator with Encrypted Vault

Applied Cryptography β€’ Desktop App β€’ Python

A cross-platform desktop app that generates cryptographically secure passwords and stores them in a local vault encrypted behind a master password. Demonstrates correct security fundamentals (PBKDF2-HMAC-SHA256 key derivation (600,000 iterations), authenticated Fernet encryption, and Python’s secrets module) and packages a Tkinter GUI into a distributable macOS app with PyInstaller.

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Sales Forecasting with Neural Networks (NHITS)

Time Series β€’ Deep Learning β€’ NeuralForecast

Implemented advanced neural time-series forecasting using the NHITS model from the NeuralForecast package. This project demonstrates an end-to-end workflow including preprocessing, train-validation splitting, model configuration, hyperparameter tuning, and performance evaluation for business-oriented sales forecasting.

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RAG Knowledge Assistant

LLM Application β€’ Retrieval-Augmented Generation β€’ Python

Built a Retrieval-Augmented Generation (RAG) system that combines document retrieval with large language models to generate context-aware, grounded responses. This project demonstrates end-to-end AI system design, including document ingestion, embedding-based retrieval, prompt orchestration, and user-facing question answering.

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Item Co-Occurrence Analysis (Market Basket Analytics)

Association Rules β€’ Behavioral Analytics β€’ Network Visualization

Explored item co-purchase behavior using synthetic retail transaction data. Constructed co-occurrence matrices and calculated support, confidence, lift, and Jaccard similarity to quantify product relationships.

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Marketing Campaign Analysis

Business Analytics β€’ KPIs β€’ Insights

An end-to-end campaign analysis focused on customer acquisition and retention and actionable recommendations.

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Sports Analytics Case Study 1

Exploratory Analysis β€’ Modeling β€’ Interpretation

A structured sports analytics case study demonstrating data preparation and analytical reasoning.

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Sports Analytics Case Study 2

Feature Work β€’ Evaluation β€’ Findings

A follow-up case study that highlights how modeling choices affect interpretation and outcomes.

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Social Survey Analysis

Real-World Data β€’ Cleaning β€’ Statistical Insight

An applied survey analysis emphasizing data quality checks and interpretive findings.