Igor Szostak
About Igor Szostak
Igor Szostak is a Senior Data Scientist at Skillz, where he has worked since 2022. He has a background in audit and data analysis, with previous roles at Deloitte Poland and KGHM Polska Miedź S.A.
Work at Skillz
Igor Szostak has been employed at Skillz since 2022 as a Senior Data Scientist, contributing to the company's data-driven strategies in the San Francisco Bay Area. Prior to this role, he worked as a Data Scientist from 2020 to 2022 and as a Data Analyst from 2019 to 2020. Throughout his tenure, he has focused on enhancing player experiences and optimizing algorithms. Notably, he improved the player matching experience by modifying the rating algorithm, resulting in a 12% increase in the average number of games played per user. Additionally, he integrated two Machine Learning models into a single optimization tool, which led to a 9.62% increase in average user Life Time Value.
Education and Expertise
Igor Szostak holds a Master's degree in Accounting and Finance from Uniwersytet Ekonomiczny we Wrocławiu, which he completed from 2012 to 2014. He also earned a Bachelor's degree in the same field from the same institution from 2008 to 2011. In 2018, he attended General Assembly, where he completed a Data Science Immersive program over 11 months. This educational background has equipped him with a solid foundation in data science and analytics, which he applies in his current role at Skillz.
Background
Before joining Skillz, Igor Szostak gained experience in the audit sector. He worked at Deloitte Poland as an Audit Senior and previously as an audit consultant from 2012 to 2014 in Wrocław. He also served as a Senior Specialist in the Audit Department at KGHM Polska Miedź S.A. from 2015 to 2016. This background in auditing provided him with analytical skills and attention to detail, which he has leveraged in his data science career.
Achievements
During his career, Igor Szostak has made significant contributions to the organizations he has worked for. At Skillz, he served as interim Team Manager for two months, overseeing three direct reports during a transition period. His work on improving algorithms and integrating machine learning models has had measurable impacts on user engagement and value on the platform. These achievements reflect his ability to apply data science principles effectively in a competitive environment.