01. Tech Stack
Engineering
ML & Core
NLP & LLMs
Viz & Ops
Bridging the gap between raw data and business intelligence. Specializing in Machine Learning and Predictive Analytics.
Automated complex reporting workflows using Power BI and SQL on Databricks. Orchestrated hyperparameter tuning studies using Optuna and managed cross-departmental stakeholder coordination.
Built automated data pipelines using Python. Analyzed high-volume sensor and production data using the Pandas/NumPy stack and collaborated in an agile Scrum environment.
Interactive Pipeline Visualization
Fine-tuned the Teuken-7B German LLM using LoRA to generate optimized short descriptions for SAP search. Achieved 93.75% field-level accuracy and a 100% JSON parse rate on industrial product data.
A Machine Learning model to predict unused edges in Vehicle Routing Problems. Achieved 92% accuracy with an estimated 20% cost reduction.
Developed a predictive model to assess match likelihood based on speed-dating event data. Achieved a match accuracy of 85%.
Specialization: Machine Learning and Artificial Intelligence
Deepening
Specialization:Business Analytics and Data Mining
Thesis: "Fine-Tuning LLMs with LoRA on a German-language Product Dataset"
