I am a final year Master's Student in MISM program at Carnegie Mellon University. I have undertaken various courses in Data Science and Machine Learning domain, ranging from Introduction to Deep Learning (11785), Introduction to Machine Learning (10601), Machine Learning with Large Datasets (10605), Unstructured Data Analytics (98865). In addition to that, I am working as a Graduate Research Assistant at Cylab under the guidance of Prof. MariosSavvides. My research is primarily based on identifying out of stock and wrongly placed products using planogram images.
Before joining CMU, I was a Data Scientist at American Express, where I was responsible for delivering data driven strategy consulting solutions to Airlines, Hotels, Retail and E-commerce clients all across the globe as part of Business Insights team. Later I transitioned to Customer 360 team, where I worked on commercial linkages to provide 360 degree view of commercial entities (complete Amex base) empowering various enterprise wide verticals like New Accounts, Fraud detection, ID Generation, Matching across Third Party Data etc.
I graduated from IIT Bombay with B.Tech in Mechanical Engineering in 2016. At IIT Bombay, I was involved in various technical activities and undertook non-core electives such as Data Analysis and Interpretation, Probabilistic models, Game Theory, Economics, Linear Algebra and Calculus. I also served as the Institute Cricket Secretary in my third year.
I am actively seeking for full-time roles in Data Science and Machine Learning spectrum. Please feel free to reach out to me at vsisodiy [at] andrew [dot] cmu [dot] edu..
