Aleksandra Sikorska is a Product Owner at Assembly Global, leading projects for the Data Engineering and Analytics Team. Educated at Poznan University of Technology, she is described by colleagues as communicative, creative, and responsible. She focuses on planning, estimation, and translating client requirements into actionable development plans.
Outside of her core role, Aleksandra is passionate about continuous learning, recently completing an intensive AI program. She also shows interest in social initiatives that promote workplace respect. Her academic background includes publications on introducing mobile applications to international markets, indicating a long-standing interest in technologys global reach.
She recently earned a certificate in the "Use of AI in company development" from a program by Google and SGH Warsaw School of Economics.
Read the full overview →They prefer to do logical analysis and value evidence over emotions. They enjoy working alone and do not rely on others very often. Unless the value is proven by data, they are unlikely to value fancy features.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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