Evin Keane
About Evin Keane
Evin Keane is a Data Analyst currently working at Stripe in Risk Data Science since 2020. He has a background in mechanical engineering and has held various roles in data analysis and engineering across different industries, including sports betting and biomedical fields.
Work at Stripe
Evin Keane has been working at Stripe since 2020 as a Risk Data Scientist. In this role, he focuses on analyzing data to mitigate risks associated with financial transactions. His experience in data analysis and risk management is essential for ensuring the security and reliability of Stripe's services. Over the past four years, he has contributed to enhancing the company's risk assessment methodologies and improving overall data-driven decision-making processes.
Experience at SPORTLOGiQ
Evin Keane has served as a Data Analyst at SPORTLOGiQ since 2017. In this position, he applies his analytical skills to sports analytics, utilizing data to provide insights into player performance and game strategies. His work supports teams and organizations in making informed decisions based on comprehensive data analysis. With over seven years at SPORTLOGiQ, he has developed a strong understanding of the intersection between data science and sports.
Education and Expertise
Evin Keane graduated with a Bachelor of Engineering (BE) degree in Mechanical Engineering from the National University of Ireland, Galway, from 2008 to 2012. This educational background provides him with a solid foundation in analytical and problem-solving skills, which are critical in his data science career. His studies in mechanical engineering contribute to his technical expertise, enhancing his capabilities in data analysis and risk assessment.
Previous Roles and Experience
Before joining Stripe and SPORTLOGiQ, Evin Keane held several positions that enriched his professional experience. He worked as a Senior Risk and Trading Analyst at Paddy Power Betfair from 2015 to 2017, where he focused on risk management in sports betting. Additionally, he served as a Robotics Application Engineer at Universal Robotics Inc. from 2013 to 2014, and as an Intern - Process Development Engineer at Medtronic Vascular in 2011. His diverse background spans logistics, sports betting, and biomedical industries.
Research Contributions
Evin Keane co-authored a research paper titled 'Data-driven lowlight and highlight reel creation based on explainable temporal game models,' which was presented at the Sloan Sports Analytics Conference in 2019. This research highlights his involvement in advancing the field of sports analytics through data-driven methodologies. His contributions to academic research reflect his commitment to integrating data science with practical applications in sports.