Alexander Backus
Alexander Backus is an accomplished data science lead with a proven track record of solving real-life business challenges through the design, development, and implementation of machine learning solutions in operational settings across various sectors such as retail, energy, finance, FMCG, and airline.
His extensive experience encompasses both data science management and practical involvement, addressing industry-specific use cases like recommender systems and demand forecasting.
Passionate about continuous learning and development, Alexander remains abreast of advancements in the field through extensive reading, participation in conferences, tool experimentation, and knowledge sharing.
His favorite technical interests include causal inference, off-policy bandit learning, weak supervision, machine learning reductions, and uncertainty estimation.
Known for attributes like honesty, knowledgeability, creativity, and responsibility, Alexander Backus invites discussions on topics related to data and AI.
Alexander's educational background includes a Doctor of Philosophy (PhD) in Cognitive Neuroscience with honors from Radboud University Nijmegen, a Master of Science (MSc) in Neuroscience & Cognition specializing in Cognitive Neuroscience with honors from Utrecht University, and a Bachelor of Science (BSc) in Biomedical Sciences with a minor in Philosophy from Utrecht University.
In terms of professional experience, Alexander has held key roles such as Data & Analytics Leader at IKEA, Data Science Consultant at VodafoneZiggo, Lead Data Scientist at Yolt - Unthink Money, Analytics Translator Trainer at The HEINEKEN Company, and various positions at BigData Republic, KLM Royal Dutch Airlines, Stedin, EDM, and prominent research roles at Radboud University and Utrecht University.
With a deep technical acumen, diverse industry exposure, and a commitment to ongoing learning, Alexander Backus stands out as a proficient and innovative leader in the data science field.
