Hi, I'm Tomislav Maruscak

Data Scientist / AI Ops / Project Lead

Lufthansa Technik - MRO Logistics

Forecasted repair duration of aircraft components to optimize planning and inventory management.

• Achieved step-change accuracy improvement: Reduced MAPE from ~0.7 to 0.13
• Enabled multi-million-euro inventory cost savings by correcting systematic over-forecasting
• Designed scalable ETL pipelines for high-quality time series datasets
• Benchmarked classical statistical models vs. foundation models (TimesFM, Chronos)
• Delivered fully autonomous retraining pipeline with explainability dashboard

Data Scientist / Project Lead

Lufthansa Technik - MRO Logistics

Optimized warehouse stock replenishment strategies based on US tariffs and dynamic cost components.

• Translated complex business challenge into rigorous mathematical formulation
• Introduced dynamic cost factors reflecting volatile global market conditions
• Developed multi-objective optimization framework for cost-optimal routing
• Achieved substantial performance gains through early elimination of suboptimal solutions

Data Scientist / AI Engineer

Lufthansa Technik - Waste Management

Dynamic AI-based document processing for cost distribution across waste management operations.

• Consolidated invoices from varying waste processing suppliers
• Evaluated different AI models for intelligent invoice parsing
• Classified line items and established cost allocation to cost centers
• Leveraged GPT-5.1 for advanced document understanding

Data Scientist / AI Ops / Project Lead

Lufthansa Technik - MRO Logistics

Forecasted exchanges in contractual and non-contractual settings to optimize logistics planning.

• Consolidated diverse data sources and designed workarounds for data quality issues
• Established data pipelines and AI Ops flows on streaming data
• Implemented scalable production-ready solutions with explainability dashboard
• Led team of consultants ensuring timely delivery of milestones

Data Scientist / ML Engineer / Project Lead

Lufthansa Technik - MRO Operations

Improved predictability of delivery times and routings to support on-time service delivery.

• Managed team and defined KPIs using statistical tools to recognize data patterns
• Implemented model robustness against minor changes while capturing data drift
• Built Big Data pipelines with MLOps and CI/CD integration

Data Scientist / ML Engineer / Project Lead

Lufthansa Technik - Market Intelligence

Estimated market availability of MRO parts considering supplier reliability for dynamic warehouse planning.

• Facilitated workshops to identify use cases with customers
• Automated tedious manual processes into streamlined data products
• Applied probabilistic modeling and clustering techniques

Data Scientist / ML Engineer

Lufthansa Cargo - Air Freight

Enhanced ML model performance and built user-friendly GUI for data product.

• Redesigned ETL process with direct database access for on-demand data loading
• Incorporated explainable AI elements for better model interpretation
• Implemented user authentication system and model versioning with MLflow

Data Engineer

Tchibo - Food & Beverage

Redesigned existing data mart following star-schema best practices for multi-country sales data.

• Reconstructed SAP Hana logic in GCP BigQuery
• Optimized existing ETL jobs by consolidating interfaces
• Ensured business continuity for critical data science use cases

Data Scientist

Siemens AG - E-Commerce & Smart City

Led end-to-end data science initiatives across sales analytics, customer intelligence, and IoT solutions.

• Owned and delivered multiple data-driven decision support systems from PoC to production
• Developed churn prediction, customer similarity, and recommender systems
• Built demand forecasts and dynamic pricing models for e-commerce
• Created predictive health monitoring for IoT devices using sensor data
• Mentored junior colleagues and established data science best practices

Lecturer (Part-Time)

IMC University of Applied Sciences Krems

Taught graduate-level courses in data science and analytics.

• Advanced Statistical Methods for Data Science
• Data Visualization
• Capstone Project Supervision

Data Science Intern

Lufthansa Technik

Developed predictive health monitoring PoC for UAV components using sensor and time series data.