Dynamic Executive Leader with Extensive Experience
Specializing in data strategy and governance (including policy, quality, acquisition, architecture), machine learning (ML), and the integration of ML into practical products through MLOps. Industry experience spans E-Commerce in Finance (6 years) and Retail, as well as Transportation/Logistics (9 years) and Energy sectors.
Previous roles have encompassed leading diverse data teams/departments (over 50 FTEs ranging from junior/B.Sc. to seasoned Ph.D. scientists and ML engineers) and engaging in pre-sales/consultancy across EMEA, APAC, and LATAM regions. Recognized for exceptional consensus-building, technical-to-business communication, stakeholder alignment, and securing executive-level support for comprehensive, end-to-end organizational transformations.
Six Career Highlights:
1. Spearheaded ML and Product Data Science across four different companies (over 50 FTEs)
Hired more than 25 individuals and effectively mentored 15 of them to achieve promotions and/or awards.
2. Rebuilt AI departments from the ground up in two companies to 7 and 16 FTEs, respectively
Established a fully remote AGILE-first environment by overhauling the Way of Work (WoW), talent sourcing, hiring processes, Individual Development Plans (IDPs), and targeted onboarding strategies.
3. Led the overhaul of data & ML platforms in three organizations
Resulted in an approximate 10% reduction in OPEX for two and an increase of $6M in raw margin for another.
4. Conceptualized and co-developed AI frameworks for Real-Time Intelligent Routing (in Transportation) and Affordability Prediction (in Fintech)
Potential to boost revenues by up to 10% and 30%, respectively.
5. Holds a world-class academic record with high-impact publications and contributions at premier ML/AI conferences (such as KDD, AAAI, IEEE TKDE, ECML/PKDD)
Received multiple invitations to deliver keynote speeches globally—from Brisbane, Australia to Las Palmas, Spain.
6. Honored with multiple awards, including a Test-of-Time Award for the Best Paper in a leading Data Mining journal focused on transport applications
