Maksad Donayorov
About Maksad Donayorov
Maksad Donayorov is a Lead Data Scientist with extensive experience in machine learning and software development. He has worked at notable companies such as Fast Monkeys, Thoughtworks, and Falcony, and has a strong educational background in software engineering and data science.
Work at ThoughtWorks
Maksad Donayorov currently serves as a Lead Data Scientist at ThoughtWorks in New York, United States, a position he has held since 2024. Prior to this, he worked at ThoughtWorks in Helsinki, Uusimaa, Finland, where he was a Senior Data Scientist from 2022 to 2023 and later transitioned to Lead Data Scientist for a period of six months in 2023. His role involves collaborating with multidisciplinary teams to design and develop innovative solutions utilizing machine learning and artificial intelligence.
Previous Experience in Data Science and Development
Before joining ThoughtWorks, Maksad Donayorov worked at Falcony as a Data Scientist and Machine Learning Engineer from 2020 to 2022. He also served as a Full Stack Developer at Falcony from 2017 to 2020. Earlier in his career, he was a Full Stack Developer at Fast Monkeys from 2014 to 2017 in Helsinki, Finland. His diverse experience spans various roles in software development and data science, contributing to his expertise in the field.
Education and Expertise
Maksad Donayorov holds a Master of Science degree in Machine Learning, Data Science, and Artificial Intelligence from Aalto University, which he completed from 2018 to 2020. He also studied at the Technical University of Denmark (DTU) during a Summer Exchange Program in 2019, focusing on Machine Learning and Data Science. Additionally, he earned a Bachelor's degree in Software Engineering from the American University of Central Asia (AUCA) from 2009 to 2013. His educational background supports his current focus on developing scalable solutions in machine learning and AI.
Technical Skills and Interests
Maksad Donayorov has a strong foundation in deploying and managing machine learning models on cloud platforms, including AWS, GCP, and Azure. He is passionate about learning new technologies and staying updated with the latest trends and best practices in machine learning and artificial intelligence. His work involves designing innovative solutions and collaborating with teams to address complex technical challenges.