Kasper Renhorn Berg

• Built a Python ETL pipeline to ingest and unify heterogeneous data from MSSQL & MySQL, processing 500k+ sensor logs. • Condensed the dataset size by 90% by implementing cleaning scripts to remove duplicate and null rows. • Developed a Hybrid LSTM-XGBoost architecture, identifying critical data sparsity bottlenecks and defining dataset requirements for future implementation Tech Stack: Python, SQL (MSSQL/MySQL), Pandas, Scikit-learn, Keras (Tensorflow), XGBoost

• Coordinated technical delivery for a 5-person team, achieving milestones 2 months ahead of schedule. • Developed the core API (Node.js/TypeScript) using TDD to power a business metrics dashboard, implementing custom filtering, averages, and data aggregation. • Implemented the central revenue visualization dashboard in React. • Debugged critical environment discrepancies by tracing the root cause to legacy data corruption in the mock database. Tech Stack: Node.js, TypeScript, React, TDD, Firestore

• Focus: Backend Software Development, Database Technology, Concurrent Programming, REST API Design. • Specialization: AI & Machine Learning.

Undergraduate Studies in AI & Engineering (Transfer) Completed ~78 ECTS of the integrated Engineering program before transferring to specialized Computer Science. Key Coursework: • Data & AI: Mathematical Statistics, Artificial Intelligence, Database Technique. • Development: Cloud Computing, Advanced Python Programming, Software Engineering. • Mathematics: Calculus, Mathematical Problem Solving, Basic Physics.

Specialization in Game Development & Technology Technical focus including advanced coursework in: • Mathematics: Advanced level. • English: Near-native proficiency C1 Level. • Programming: C#, Unity, and Game Design patterns.