Ivan Kotik
About Ivan Kotik
Ivan Kotik is a Product Analyst currently employed at Forto in Berlin, Germany. He has a background in finance, statistics, and data science, with experience in government procurement analytics and project management.
Work at Forto
Ivan Kotik has been employed at Forto as a Product Analyst since 2022. In this role, he focuses on data-driven analytics to support product development and decision-making processes. His responsibilities include conducting thorough analyses to inform top management and enhance product strategies. Kotik's experience in analytics contributes to Forto's objectives in optimizing logistics and supply chain solutions.
Education and Expertise
Ivan Kotik holds a Master of Science in Finance, Statistics, and Data Science from Humboldt-Universität zu Berlin, where he studied from 2020 to 2022. He also earned a Bachelor of Science in Global Economy and Management from Lomonosov Moscow State University from 2012 to 2016. His educational background equips him with a strong foundation in analytical methods and financial principles, which he applies in his professional roles.
Background
Prior to joining Forto, Ivan Kotik worked in high-end executive bodies of state authority as an analyst and project manager. His previous roles involved the issuance of governing documents, budgeting, and the allocation and distribution of funds. He has also engaged in analytics for top management decision support, showcasing his ability to handle complex financial data and contribute to strategic planning.
Achievements in Analytics
Ivan Kotik has demonstrated expertise in government procurement spending analytics, control, and audit. He has experience in developing and implementing prediction models across various fields. His work has included data-driven analytics aimed at uncovering financial fraud, highlighting his capability in identifying irregularities and enhancing financial integrity in previous positions.
Current Role at Humboldt University
Since 2021, Ivan Kotik has been working as a Student Research Assistant at Humboldt University of Berlin. In this position, he engages in research activities that complement his studies and professional interests. His role allows him to apply his analytical skills in an academic setting, furthering his knowledge in finance and data science.