Sheryl Sitruk

Sheryl Sitruk has work experience in various data-related roles. Sheryl most recently worked as a Data Analyst at Bigabid starting in 2022. Prior to that, they worked as a Data Analyst at WeissBeerger from June 2021 to January 2022, where they delivered insightful answers to product managers using AWS services, Python, machine learning, and statistical analysis. Sheryl also developed automated tools for analyzing and visualizing key metrics for AB test analysis.

In 2020, Sheryl worked as a Data Scientist at Cellebrite, where they executed an end-to-end computer vision project to detect facial attributes and accessories in pictures. Sheryl was responsible for data acquisition, preprocessing, baseline creation, data modeling using deep learning and classic machine learning models. Sheryl achieved high accuracy rates for each model and performed model evaluation.

Sheryl also has experience as a Marketing Analyst at Browsi and as an Account Manager - Data Analyst at Adsvisers (groupe Qwamplify) in 2019.

Sheryl Sitruk has a diverse education history. In 2015, they began their studies at Université Paris Dauphine - PSL, where they pursued a Bachelor's degree in Mathematics & Economics. Sheryl completed their undergraduate studies in 2018.

Afterwards, Sheryl enrolled at the same university for a Master's degree in Strategy & Management, which they pursued from 2018 to 2019. This decision showcased their interest in expanding their knowledge and skills in a different field.

In 2020, Sheryl attended Israel Tech Challenge (ITC) where they focused on Data Science. Although the specific degree obtained from this program is not mentioned, it indicates their interest in the field and further professional development.

Additionally, Sheryl acquired a certification in Google Ads in July 2019, offered by Google. This certification demonstrates their commitment to gaining expertise in digital marketing.

Overall, Sheryl Sitruk's education history highlights their multidisciplinary approach and desire to expand their skills in various areas, from mathematics and economics to strategy, management, and data science.