Home About Me Portfolio Resources Blog Connect on LinkedIn →
Portfolio

Real-World Applications
of Data Science Skills

A full collection of projects spanning machine learning, business intelligence, NLP, and data visualization — built to solve real problems.

Data Governance Dashboard
Power BI · DAX · Risk Modeling
Data Governance & Compliance Risk Dashboard
  • Analyzed 5,500 governance audit records across domains and regulations
  • Designed a risk-based framework translating compliance metrics into financial exposure (€)
  • Built an interactive Power BI dashboard using DAX, data modeling, and risk scoring logic
K-Means Clustering
Python · Machine Learning · Unsupervised Learning
Urban Pattern Analysis Using K-Means Clustering
  • Clustered 300 cities using K-Means to identify distinct urban archetypes based on 8 socioeconomic and environmental indicators
  • Engineered 5 composite features (Socioeconomic Index, Urban Stress, Green Comfort) improving clustering quality by 4.8%
  • Built classification framework using scikit-learn, PCA, and feature engineering — silhouette score: 0.374
Tableau Dynamic Zone Visibility
Tableau · Dashboard Design · Article Series
Mastering Dynamic Zone Visibility in Tableau
  • Two-part practical series focused on eliminating dashboard clutter with Dynamic Zone Visibility
  • Advanced techniques using Parameter Actions, Sets & Set Actions
  • Real-world use cases: slide-out panels, chart swapping, zooming & drill-downs
Credit Risk Assessment
Python · Power BI · Predictive Analytics
Credit Risk Prediction & Analytics Dashboard
  • Analyzed 32,581 loan applications ($312.4M) — 93% accuracy with XGBoost and Random Forest
  • Engineered risk-based segmentation identifying $77.1M in defaulted loans across High/Medium/Low categories
  • Built an interactive Power BI dashboard with DAX calculations, feature importance, and geographic risk patterns
SQL Retail Analysis
SQL Analytics · Superstore Data
Retail Sales, Retention & Cohort Analysis
  • A real-world SQL retail analytics project uncovering hidden sales trends
  • Analyzed customer retention through multi-period cohort analysis
  • Assessed the financial impact of discounting on business performance
Reinforcement Learning Research
Machine Learning · Research Paper · IEEE
Reinforcement Learning for Fuel Cell Thermal Energy Management
  • Developed an algorithm for optimal thermal energy management in PEM fuel cell power plants
  • Implemented Q-learning with epsilon greedy policy to minimize 24-hour generation costs
  • Optimized electrical power generation, energy trading, and thermal energy recovery based on real-time demand