Data Governance & Compliance Risk Project

Power BI · Dashboard Project

  • Analyzed 5500 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
Data Governance Project
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Urban Pattern Analysis Using K-Means Clustering

Python · Machine Learning · Unsupervised Learning Project

  • 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) to improve clustering quality by 4.8%
  • Built classification framework using scikit-learn, PCA, and feature engineering techniques achieving a silhouette score of 0.374
K-Means Urban Clustering Project
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Tableau Dynamic Zone Visibility Series

Tableau | Interactive Dashboard Design

  • A two-part practical article series focused on eliminating dashboard clutter and designing intuitive, interactive Tableau dashboards using Dynamic Zone Visibility.
  • Advanced techniques using Parameter Actions, Sets & Set Actions
  • Real-world use cases: slide-out panels, chart swapping, zooming & drill-downs
Tableau DZV Project
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Credit Risk Prediction & Analytics Dashboard

Python · Power BI · Machine Learning · Predictive Analytics Project

  • Analyzed 32,581 loan applications ($312.4M) to predict default risk with 93% accuracy using XGBoost and Random Forest
  • Engineered risk-based segmentation framework identifying $77.1M in defaulted loans across High/Medium/Low categories
  • Built interactive Power BI dashboard with DAX calculations, feature importance analysis, and geographic risk patterns
Credit Risk Prediction Project
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SQL Project: Retail Sales, Retention & Cohort Analysis

SQL Analytics · Superstore Data

  • A real-world SQL retail analytics project uncovering sales trends
  • Analyzed customer retention through cohort analysis
  • Assessed the impact of discounting on business performance
SQL Project
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Reinforcement Learning for Fuel Cell Thermal Energy Management

Machine Learning · Research Paper

  • Developed an algorithm for optimal thermal energy management in PEM fuel cell power plants using reinforcement learning
  • Implemented Q-learning algorithm with epsilon greedy policy to minimize total generation costs over 24-hour operational schedules
  • Optimized electrical power generation, energy trading, and thermal energy recovery & storage based on real-time demand
Reinforcement Learning Project
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