CLARENCE ONSONGO
@clarenceonsongo
Detail-oriented mathematician skilled in data analysis and modeling.
What I'm looking for
I am a detail-oriented and analytical mathematician with a strong background in mathematical modeling, statistical analysis, and problem-solving. My experience includes conceptualizing theoretical models into practical applications through rigorous research and academic efforts. I am proficient in data visualization libraries and have developed expertise in machine learning and data-driven insights, aiming to drive innovative solutions at the intersection of mathematics and data science.
In my recent role as a Data Annotator at Cloudfactory, I was part of a team that reviewed real-time video footage to identify errors in inventory procedures, significantly enhancing automation and operational efficiency. I successfully reviewed and annotated over 500 hours of footage while maintaining a 98%+ accuracy rate. My leadership experience as a Team Captain involved supervising a team of data analysts, ensuring timely project delivery, and fostering a collaborative work environment that contributed to high team morale and client satisfaction.
Experience
Work history, roles, and key accomplishments
Data Annotator
CloudFactory
Jan 2023 - Jan 2024 (1 year)
Reviewed real-time video footage of a warehouse, identifying errors in inventory standard procedures and ensuring the accuracy of video data used to train AI systems. This work improved automation, reduced operational mistakes, and enhanced overall warehouse efficiency.
Team Captain
CloudFactory
Jan 2022 - Jan 2023 (1 year)
Led a team responsible for annotating MRI scans to identify tumors and other features as directed by clients. Managed new member training, reviewed submitted files, and collaborated closely with clients to maintain high-quality work.
Education
Degrees, certifications, and relevant coursework
University of East London
MSc Data Science, Data Science
Currently pursuing a Master of Science in Data Science, focusing on advanced statistical analysis, machine learning, and data-driven insights. Developing expertise in conceptualizing theoretical models into practical applications.
Jomo Kenyatta University of Agriculture and Technology
BSc. Industrial Mathematics, Industrial Mathematics
Grade: Second Class Honors (Lower Division)
Completed a Bachelor of Science in Industrial Mathematics, gaining strong experience in mathematical modeling, statistical analysis, and problem-solving. Focused on applying mathematical principles to real-world industrial challenges.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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