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Filip Szyler is an experienced Data Scientist and Data Analyst currently employed at Kinesso and EPAM Systems, respectively. With a strong background in data science, Filip has developed internal Python packages for fields detection and crop conditions assessment, utilizing technologies such as MXnet and Google Earth Engine API. Filip's previous roles at SentiOne involved building growth models, automated marketing reporting systems, and performing various marketing analyses. Additionally, Filip has contributed to education as a trainer in Python and SQL and has lectured on internet marketing topics at Wy?sza Szko?a Bankowa w Gda¨½sku. Filip holds multiple postgraduate qualifications in fields related to data science, big data, and chemical technology, enhancing a robust academic foundation for a diverse career in data analytics and marketing.