Taha Mansoor
About Taha Mansoor
Taha Mansoor is a Data Scientist with experience in creating curated data sets for the Snowflake marketplace and automating mobile app workflows using machine learning. He has worked at Liquid Technologies and Deloitte, and currently holds a position at Flextock in Egypt.
Work at Flextock
Taha Mansoor serves as a Data Scientist at Flextock, a role he has held since 2022. In this position, he applies his expertise in data science to various projects, focusing on automating workflows and enhancing operational efficiency. His work involves utilizing cloud and web services, particularly AWS and Azure, to support data-driven decision-making processes.
Previous Experience at Liquid Technologies
Prior to his current role, Taha worked at Liquid Technologies as a Data Scientist and BI Analyst for four months in 2022. He initially joined the company as a Junior Data Scientist in 2020, where he contributed for two years. His responsibilities included creating curated data sets for the Snowflake marketplace and engaging in data monetization efforts and customer segmentation projects.
Internship at Deloitte
In 2019, Taha completed a two-month internship at Deloitte in Karachi. This experience provided him with insights into the data science field and helped him develop foundational skills that he later applied in his professional career.
Education and Expertise
Taha Mansoor earned a Master's degree in Statistics from Karachi University, where he studied from 2015 to 2019. His academic background laid the groundwork for his expertise in data science. He continues to engage in continuous learning through online resources, MOOCs, and educational content from industry influencers, including Andrew NG.
Technical Skills and Contributions
Taha is skilled in utilizing cloud and web services, specifically AWS and Azure, for data science projects. He has been instrumental in automating mobile app workflows through the application of machine learning and AI use cases, contributing to the efficiency and effectiveness of data-driven initiatives.