Currently part of DHL’s Asia Pacific Shared Services – Data Management Team, where I handle inbound data cleansing and classification for dutiable goods entering Germany, supporting smooth and compliant customs clearance processes.
Back in 2018, I decided to combine my passion for numbers with my love for the beautiful game. Fast-forward to today, and I've had the privilege of analyzing data for Fortune 500 companies and professional soccer clubs.
My main focus these days is building predictive models that drive strategic decisions and crafting tactical formations that maximize team performance. I most enjoy working at the intersection of data science and sports analytics.
When I'm not crunching numbers, you'll find me analyzing match footage, studying tactical trends, or building the next game-changing formation template.
Lead data scientist for predictive modeling initiatives, resulting in 40% improvement in forecast accuracy. Developed automated reporting systems serving 500+ stakeholders daily.
Analyzed player performance data and developed tactical formation templates that improved team win rate by 35%. Created interactive dashboards for coaching staff.
Built ETL pipelines processing 10M+ records daily. Designed machine learning models for customer segmentation and churn prediction with 92% accuracy.
Graduated with honors in Industrial Chemistry, developing expertise in analytical methods, process optimization, and data interpretation. Specialized in chemical analysis and statistical modeling, which provided the scientific rigor and analytical mindset essential for data science applications.
Completed comprehensive foundation studies with focus on mathematics, statistics, and analytical thinking. Built strong fundamentals in quantitative analysis and problem-solving methodologies that became the cornerstone of my data science career.
Built a comprehensive analytics platform that processes 50M+ transactions daily, featuring real-time dashboards and ML-powered forecasting. Increased revenue prediction accuracy by 45% and reduced manual reporting time by 80%.
Developed an advanced player tracking and formation optimization system using computer vision and statistical modeling. Analyzed 500+ matches to create data-driven tactical recommendations that improved team performance by 35%.
Engineered a machine learning pipeline that identifies at-risk customers with 94% accuracy. Implemented automated intervention strategies that reduced churn rate by 28% and increased customer lifetime value by $2.3M annually.
Interactive formation templates built from analyzing 1000+ professional matches. Click players to explore tactical roles and responsibilities.
High-intensity formation focused on wing play and pressing. Optimal for teams with pace and technical ability.
Balanced formation with strong midfield presence. Perfect for teams prioritizing defensive stability and counter-attacks.
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