AS

Afik Shaham

Data Scientist at Afimilk Ltd

Afik Shaham is a skilled data scientist with extensive experience in developing and implementing machine-learning models across various roles. Currently at Afimilk Ltd since August 2021, Afik specializes in creating end-to-end models using Python and SQL, focusing on supervised and unsupervised learning, statistical analysis, and data engineering. Previous roles include positions as a data scientist and data wrangler at Deloitte, where work involved data manipulation and model development in an AWS environment, and an internship at Bagelcode, which emphasized churn model development. Prior experience includes business analysis at Silver Round and ExtractNet, where expertise in database analysis and predictive modeling was showcased, as well as a data analyst role at Webpals focusing on statistical models and reporting. Academic credentials include a Master of Science in Financial Mathematics and a Bachelor's degree in Economics and Business Administration from Bar-Ilan University.

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Afimilk Ltd

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Founded in 1977, afimilk Ltd. (S.A.E. Afikim) has become a global leader in developing, manufacturing and marketing advanced computerized systems for the modern dairy farm, and for herd management. The company , since its inception, has been a leader through innovation: afimilk introduced the world’s first electronic milk meter more than 30 years ago, the first pedometer to monitor cows, the first dairy farm management software and the first online milk analyzer (AfiLab). These tools have enabled farm managers to improve performance and maximize efficiency, ultimately increasing profits. afimilk systems and products are in use worldwide. The company is active in more than 50 countries: thousands of farms, hundreds of thousands of milk meters, millions of pedometers. Solutions afimilk leading product line, is an automated modular system for intensive dairy farm management. The fully integrated software program, AfiFarm, collects information about each animal, builds a database and generates reports. This gives the farmer real-time information about herd health, milk quality and other critical factors, and enables well-informed decision-making.