Bright Tsevi
About Bright Tsevi
Bright Tsevi is a Data Engineer with extensive experience in data science and engineering roles, currently employed at Arine since 2022. He has a strong educational background in Electrical and Electronics Engineering, holding a Master's degree from Norfolk State University and a Bachelor's degree from Kwame Nkrumah' University of Science and Technology.
Current Role at Arine
Bright Tsevi currently serves as a Data Engineer at Arine, a position he has held since 2022. In this role, he applies his expertise in data engineering to support the company's data-driven initiatives. His responsibilities likely include designing and implementing data pipelines, ensuring data quality, and collaborating with cross-functional teams to optimize data usage.
Previous Experience at Kwame Nkrumah' University of Science and Technology
Prior to his current role, Bright Tsevi worked as a Teaching and Research Assistant at Kwame Nkrumah' University of Science and Technology in Kumasi from 2016 to 2017. During his 11-month tenure, he contributed to academic research and supported faculty in delivering educational content, enhancing his foundational knowledge in engineering.
Educational Background in Electrical and Electronics Engineering
Bright Tsevi earned his Master of Science in Electrical and Electronics Engineering from Norfolk State University from 2019 to 2021. He also holds a Bachelor’s Degree in Electrical, Electronics and Communications Engineering from Kwame Nkrumah' University of Science and Technology, which he completed from 2012 to 2016. His educational background provides a strong foundation for his work in data engineering.
Data Science Fellowship and Bootcamp Participation
In 2021, Bright Tsevi participated in the Data Science for All (DS4A) program by Correlation One, where he served as a Fellow for five months. He also completed a data science bootcamp with Correlation One, earning a certificate. These experiences enhanced his skills in data science, machine learning, and deep learning algorithms.
Technical Skills and Expertise
Bright Tsevi possesses skills in signal processing and natural language processing (NLP). His technical expertise extends to developing machine and deep learning algorithms, which are essential for modern data engineering tasks. These skills enable him to effectively analyze and interpret complex data sets.