Solving real-world problems with ML and Data science, consistently is Mo�s key value proposition to employers and clients. He does this rapidly and meticulously due to his ability to quickly delve into and understand a new problem domain combined with his strong python programming and data science skill sets, and because after 8+ years of coding python daily and solving ML / Data science problems he is as keen as ever to find solutions to problems. As a full-stack data scientist, Mo possesses the ability to handle data engineering tasks such as collecting, transforming, and loading data. Beyond that, he can analyze and visualize data to identify insights and, for intricate issues, utilize data science methodologies to uncover hidden patterns. Mo is a highly appreciated teammate that is kind and thoughtful, proactive and has a good ability to breakdown complex problems and make them understandable. In his spare time, Mo has competed in and ranked as high as top 2% in prestigious Kaggle competitions that attract the world�s best data scientists, due to their large cash rewards. He is active in the Kaggle community where he collaborates with and discusses data science with others and as earned expert level in 3 out of 4 areas. He is eager to help organizations in any of the following ways: � Effectively led teams as Lead AI / Data Scientist � Help organizations level up their ML and Data Science teams � Work hands-on with challenging data science / ML problems, collaboratively or independently � Help companies build AI products Mo is a consultant for Build Measure Learn Sweden which specializes in Data Analytics & Engineering consulting.

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