Position: ML Engineer / Data Science
Category: Data Science
English level: fluent
Years of experience: 6


Data Scientist at Microsoft (vendor)
Nov 2018 - Present · 3 yrs 5 mos
• Led the development of the NLP System to analyze clients' demands and behavior, availability of products through different stores, and salespeople performance
• Led the development of an algorithm to identify Microsoft / Azure / Skype accounts that are associated with criminal activities that violate terms of use
• Led a project in finding relationship between a group of phishing kits by clustering them by developing Machine Learning pipeline based on Unsupervised Deep Learning algorithm
• Decreased time spent on manual daily processes by 80% (from 50mins to 10mins) by fully automating Machine Learning (running classifiers, false-positive analysis and etc.) and data off-boarding processes using Python
• Decreased the number of false-positives of Image and Text classifiers by 80% and time spent on false-positive analysis by 50% by developing a new filter for false-positives based on Python script
• Mentored junior data scientists
• Designed, developed and delivered Multilingual Text classification pipeline (for 9 languages) based on NLP algorithms from scratch (with 97% of F1 Score) 
• Increased numbers of identified Tech Support Frauds by developing new Multilingual Text classifier (a 7x increase)
• Decreased time spent on manual daily processes by 58% (from 2hrs to 50mins) by automating Machine Learning (running classifiers, false-positive analysis and etc.) and data off-boarding processes using Python
• Played a key role in preventing criminal activities that violate terms of use by detecting data, analyzing it and sending reports to special teams