Sergey Titorovich
About Sergey Titorovich
Sergey Titorovich is a Support Engineer at AppsFlyer, known for his detail-oriented approach and innovative problem-solving skills. He has expertise in both quantitative and qualitative research methodologies and a strong background in data analysis.
Work at AppsFlyer
Sergey Titorovich has been employed at AppsFlyer as a Support Engineer since 2020. In this role, he applies his expertise in data analysis and problem-solving to assist clients with technical issues. His position involves utilizing his strong verbal and interpersonal skills to ensure effective communication and collaboration within the team. Sergey contributes to optimizing the support processes and enhancing customer satisfaction through innovative solutions.
Education and Expertise
Sergey Titorovich holds a Master's degree in International Marketing, Analytics, and Research from Belarusian State Economic University, which he completed from 2015 to 2016. He also earned a Bachelor's degree in Marketing, Analytics, and Research from the same institution between 2011 and 2015. Additionally, he studied data analysis methodologies at Coursera, focusing on Python, Pandas, Numpy, and Matplotlib from 2019 to 2020. His educational background equips him with a solid foundation in both quantitative and qualitative research methodologies.
Background
Prior to his current role at AppsFlyer, Sergey Titorovich worked as a Data Analyst at Practicum by Yandex for five months in 2020, based in Tel Aviv, Israel. This experience allowed him to further develop his analytical skills and gain practical insights into data-driven decision-making. His background in marketing and analytics complements his technical skills in Python and SQL, enabling him to approach problems with a comprehensive perspective.
Achievements
Sergey Titorovich has demonstrated a strong ability to analyze complex datasets, particularly through his involvement in analyzing NYC Subway data using Python. His achievements include obtaining a certification in Python for data analysis, which he pursued during his studies at Coursera. His detail-oriented and innovative approach to problem-solving has contributed to his effectiveness in various analytical roles.