Dr. Lucian Ionescu

Kickstarted and led the data team to drive performance insights and content personalization ‧ Developed machine learning and optimization algorithms for recommendation systems and content coherency ‧ Established DevOps processes for cloud microservices ‧ Coordinated efforts among data, backend, and content for roadmaps and architectural decisions ‧ Coordinated the growth squad for operational alignment of product, marketing ‧ Fostered data literacy to improve data-driven decision-making across the company

Led the efforts to introduce data science into TomTom's core, the live traffic information ‧ Created visualization tools to analyze and comprehend network effects in traffic flow with traffic domain experts ‧ Created prediction models for ad-hoc online speed prediction ‧ Built model training pipelines (Python) and worked on highly optimized production code (Java) ‧ Promoted Data Science tools and best practices via workshops and team hackathons ‧ Actively engaged in DevOps and weekly release procedures

Developed innovative data-driven products in a newly founded AI team ‧ Developed scalable services for traffic services, map accuracy: volume estimation (patented), closure detection (patent pending), flow detection ‧ Communicated advancements to the internal ML community and product managers to propel proof-of-concepts into actual products ‧ Took responsibility for the team’s document- and knowledge management ‧ Mentored junior team members and consulted production teams in DataOps/ML

DFG Research Project: Robust Efficiency of Airline Resource Schedules ‧ Managed a small research team in an industry cooperation with Deutsche Lufthansa ‧ Analyzed airline delay data and built interpretable delay forecasting models ‧ Published 9 reviewed journal papers and gave 20 talks at international conferences on algorithmic advances and data analytics ‧ Mentored postgraduates on data analytics for applied scientific research

‧ Researched and implemented large-scale models for robust airline scheduling strategies ‧ Conducted lectures on Operations Research, BI, coding, metaheuristics, supervised BSc/MSc theses and student projects ‧ Personal Initiatives Administered test servers for computational experiments ‧ Applied successfully for a DFG Research Funding ‧ Managed the website, printer, and coffee machine

Dissertation: Robust Efficiency of Airline Resource Schedules Methodischer Fokus: Operations Research & Analytics, Verbinden von Methoden der mathematischen Optimierung, stochastischen Simulation und Data Analytics Note: summa cum laude Abstract & Download: https://refubium.fu-berlin.de/handle/fub188/10964

Entscheidungsunterstützung, Operations Research, Data Science, Business Intelligence, Knowledge Management, Bank- & Börsenwesen, Internationale Unternehmensfinanzierung