Andranik Melkonov

Manager Data Science @ Sia Partners

About Andranik Melkonov

Andranik Melkonov is a Manager of Data Science at Sia Partners, where he has worked since 2022. He has extensive experience in data science and analytics, having previously held roles at EY, Bluestone, and Airbus.

Current Role at Sia Partners

Andranik Melkonov serves as Manager Data Science at Sia Partners, a position he has held since 2022. In this role, he focuses on leveraging data science methodologies to deliver solutions for clients. His responsibilities include overseeing data science projects and ensuring successful implementation of data-driven strategies.

Previous Experience at EY

Prior to his current role, Melkonov worked at EY for a total of seven years, where he held multiple positions. He served as a Senior Data Scientist from 2015 to 2022 and transitioned to the role of Manager Data Analytics from 2021 to 2022. His experience at EY involved advanced data analysis and project management within the data science domain.

Work History at Airbus and Adelyce

Melkonov's early career included a brief tenure at Airbus as a Market Analyst in 2013, where he worked for three months in Blagnac. He also held a position as Economètre at Adelyce for five months in 2013 in Labège. These roles contributed to his foundational knowledge in data analytics and market analysis.

Educational Background

Andranik Melkonov completed his Master 1 in Statistiques et Econométrie at Université de Strasbourg from 2011 to 2012. He furthered his education at Toulouse School of Economics, where he achieved a Master 2 in Statistiques et Econométrie from 2012 to 2013. His academic background provides a strong foundation in statistical analysis and econometrics.

Expertise in Data Science and Analytics

Melkonov possesses expertise in both data science and data analytics. He is skilled in guiding clients through the entire data science project lifecycle, from initial scoping to industrialization. His comprehensive solutions address various client needs, enhancing their data-driven decision-making capabilities.

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