Aliaksandr Nekrashevich
Postdoctoral Researcher
Département Automatique, Productique et Informatique (DAPI), IMT Atlantique
Professional Summary
About Me
Passionate about improving manufacturing and business decisions using data science and optimization. Careful, persistent, patient, respectful, and competent. Received Ph.D. from Queen’s University in Kingston in the area of revenue management and pricing optimization. A genuine team player committed to group success and growth. Sincere and honest with a high level of personal and professional integrity.
Education
PhD Management Analytics
Queens University
MSc Statistical Learning Theory
National Research University Higher School of Economics
MSc Data Science
Skolkovo Institute of Science and Technology
BSc Computer Science
Belarusian State University
Interests
Previous corporate experience allows me to look into the industry from multiple perspectives. I have spent several years at Yandex (Russian Google), starting with a recommender system prototype and then improving speech recognition at Yandex SpeechKit. Later, I also participated in two Scotiabank internships, firstly doing data science around deposit time series clustering and secondly looking into recency-frequency-monetary value marketing for day-to-day acquisition campaigns.
My current academic research focuses primarily on dynamic pricing and industrial scheduling in the context of manufacturing marketplaces. I also continue to research resort revenue management and sea cargo modeling to move my PhD-pursuing research to publication. Previously, I studied discrete optimization and approximation algorithms for scheduling on uniform processors. Now, I am looking for opportunities to improve my knowledge and experience in discrete optimization related to revenue management, modern stochastic subgradient methods, general scheduling, and decompositions for reinforcement learning.