STOREE
Shay Meiri has a diverse work experience with a strong focus on data engineering and analysis. Starting in 2016, Shay worked as a Data Scientist in the Immunology group at Ben-Gurion University, where they were responsible for designing and implementing the ETL process, extracting data from multiple SQL servers, optimizing SQL queries, and creating and optimizing a data warehouse for massive data extraction. In 2018, Shay joined Bioforum the Data Masters as a Clinical Programmer, where they played a crucial role in analyzing clinical data and designing and implementing ETL automation. Shay utilized complex SQL queries, SAS, Python, and Excel for data cleaning, processing, and reporting, and analyzed large clinical datasets for FDA regulatory submissions. From 2020 to 2021, Shay worked as a Data Engineer at Pagaya Investments, focusing on data engineering tasks. In 2021, they joined Riskified as a Data Analyst, contributing to data analysis processes. Currently, Shay is working as a Data Engineer at STOREE, utilizing their expertise in data engineering.
Shay Meiri attended Ben-Gurion University of the Negev from 2014 to 2017, where they obtained a Bachelor's degree in Behavioral Sciences.
STOREE
A good retail manager needs to wear many hats without compromising any part of their role and these days more than ever before.However, with so much data, stores, tasks to fulfill, and employees, it’s just too much to handle manually. We developed an algorithm that mimics the work of retail managers, especially when it comes to sales. Itidentifies merchandise pain points on a store level, alerts the store manager, and guides him to fix them. We implement it in a task management tool explicitly designed for the retail market and create an Automated Data-Driven Task Management Tool that guides all managers to excellence and improve sales.