At Stitch Fix Dr. Sierag is responsible for maintaining and developing recommender systems end-to-end using PyTorch, serving all users and products across Stitch Fix.

During his time at PROS, Dr. Sierag designed and developed Proof-of-Concepts (POC) of industry-transforming forecasting and dynamic pricing software in Python, both for passenger airlines as well as Air Cargo . Performance tests showed that the algorithms increased forecast accuracy by 40%-60% and increased airline profit margins by 5.5%-11% vs historical performance. Dr. Sierag was also responsible for solving challenges that clients experience in an efficient manner, using Tableau, R, Python and C++.

Dr. Sierag developed revenue management and pricing models during his PhD research at CWI , motivated by data and clients from hotels. Dr. Sierag's research resulted in a POC for hotels, which increasing revenues by up to 20%. Moreover, Dr. Sierag published his research in 9 peer-reviewed papers in renowned scientific journals, a PhD dissertation, and an academic book chapter.