Xinye Li

Head Of Data Science And BI at Ascent

Xinye Li has a diverse and extensive work experience in the field of data science and analytics. Xinye began their career at Data2Decisions, where they worked as a Consultant and Senior Consultant from 2009 to 2013. In these roles, they utilized econometric modeling to assess campaign effectiveness and provided recommendations to clients in various sectors.

After that, Xinye worked at EE as a mData Scientist, Senior mData Scientist, and Principal Data Scientist from 2013 to 2015. Xinye'sresponsibilities included making data-driven decisions, seeking insights for businesses, and working on data projects for both private and public sectors.

From 2015 to 2017, Xinye served as a Data Scientist at Regus, where they applied their expertise in data analysis. Xinye then joined Wipro as a Senior Manager from 2017 to 2018, focusing on management and strategic planning.

Xinye's next role was at Liberty Ltd, where they worked as the Head of Analytics from 2018 to 2020. In this position, they led the analytics team and contributed to data-driven decision-making within the company.

In 2020, Xinye joined Eligible.ai as the Lead Data Scientist, leading data science projects and driving innovation. Currently, they work at Ascent as the Head of Data Science and BI, where they oversee the data science and business intelligence functions of the company.

Overall, Xinye Li has demonstrated expertise and experience in data science, analytics, and leadership roles throughout their career.

Xinye Li completed their education in a chronological order. They obtained a Bachelor of Science (BSc) degree in Astronomy from Peking University, where they studied from 2002 to 2006. Xinye then pursued a Master of Science (MSc) degree in Economics from the University of Warwick, attending from 2007 to 2008.

In addition to their formal education, Xinye Li also obtained several certifications. They have successfully completed the "Microsoft Certified: Azure AI Fundamentals" certification from Microsoft in May 2023, the "Microsoft Certified: Azure Data Scientist Associate" certification from Microsoft in June 2021, the "Machine Learning" certification from Coursera in September 2014, the "An Introduction to Interactive Programming in Python" certification from Coursera in May 2014, and the "Computing for Data Analysis" certification from Coursera in October 2013.

It should be noted that no assumptions were made beyond the provided information.

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