Martynas Venckus
About Martynas Venckus
Martynas Venckus is a Data Scientist and Python Lecturer at Vilnius CODING School, with a background in health data analytics and machine learning. He has held various roles in data science and education across institutions in Lithuania and the United Kingdom.
Current Role at TeleSoftas
Martynas Venckus serves as a Data Scientist at TeleSoftas, a position he has held since 2022. His work focuses on data analysis and model development, contributing to various projects within the company. TeleSoftas is known for its innovative software solutions, and Venckus plays a key role in leveraging data to enhance decision-making processes.
Teaching Experience at Vilnius CODING School
Since 2023, Martynas Venckus has been a Python Lecturer at Vilnius CODING School. In this role, he educates students on programming concepts and data science applications using Python. His teaching aims to equip students with practical skills necessary for careers in technology and data analytics.
Previous Experience in Data Science and Research
Martynas Venckus has accumulated diverse experience in data science and research. He worked as a Research Assistant at Imperial College London for four months in 2022, where he contributed to academic projects. Additionally, he completed internships at AstraZeneca and Ligence, focusing on data science applications in healthcare and technology.
Educational Background in Medicine and Data Analytics
Martynas Venckus holds a Master of Science in Health Data Analytics and Machine Learning from Imperial College London, completed in 2022. Prior to that, he earned a Doctor of Medicine (MD) degree from Vilnius University, where he studied from 2015 to 2021. His educational background combines medicine with advanced data analysis techniques.
Early Education and Qualifications
Martynas Venckus completed his high school education at Klaipeda Lyceum, earning a High School Diploma from 2013 to 2015. This foundational education set the stage for his subsequent studies in medicine and data science.