Arkadiusz Kukla
About Arkadiusz Kukla
Arkadiusz Kukla is a Data Science Manager at Procter & Gamble, specializing in building advanced models for financial stakeholders using Python, SQL, and AWS services.
Title
Arkadiusz Kukla serves as a Data Science Manager at Procter & Gamble. In this role since 2023, he is based in Warsaw, Mazowieckie, Poland, and operates in a hybrid working model. His responsibilities typically involve leading a team of data scientists to develop and implement sophisticated data models, leveraging his expertise in Python, SQL, and AWS services.
Professional Experience
Before joining Procter & Gamble, Arkadiusz Kukla worked as a Data Scientist at International Personal Finance Plc from 2022 to 2023, enhancing data-driven decision-making processes. Prior to that, he held a position as a Junior Data Science Consultant at Management Solutions for two months in 2021. His career also includes a stint as a Constructor in the photovoltaic industry with Solar Breaker, where he worked from 2020 to 2021.
Education and Expertise
Arkadiusz Kukla holds a Master's degree in Big Data Advanced Analysis from SGH Warsaw School of Economics, earned between 2021 and 2023. He also has a Bachelor's degree in Mechanical Engineering from Warsaw University of Technology, which he completed from 2016 to 2020. His educational background fortifies his expertise in building advanced data models, particularly for financial stakeholders, utilizing tools like Python, SQL, and AWS services.
Specializations
Arkadiusz Kukla specializes in building advanced models for financial stakeholders. His technical skill set includes proficiency in Python, SQL, and AWS services. He has a strong interest in AWS Cloud architecture and solutions, which he integrates into his data science projects.
Personal Interests
Apart from his professional responsibilities, Arkadiusz Kukla enjoys being a math tutor in his free time. His passion for tutoring reflects his commitment to sharing knowledge and helping others develop their mathematical skills.