Bright Egbo

Data Analyst and Electrical/Computer Engineering Graduate Student with 3+ years of experience in data modeling, visualization, and predictive analytics. Proficient in SQL, Python, and Power BI. Proven track record of delivering data-driven insights that improve operational efficiency by 20%.

Data Analyst at Bridge Africa Technologies Ltd. (2021-01 – 2024-12)

• Developed and maintained automated reporting architecture using SQL, Tableau, and Power BI to monitor key performance indicators (KPIs).
• Cleaned and optimized large-scale datasets for predictive modeling, ensuring data integrity for strategic decision-making.
• Translated complex data into actionable insights, resulting in a 20% increase in operational efficiency.
• Collaborated with cross-functional teams to identify bottlenecks and streamline data workflows.

Data Science Intern at Hamoye (2024-01 – 2024-12)

• Applied Machine Learning algorithms (Regression, Classification, Neural Networks) to solve real-world data challenges.
• Executed an end-to-end Capstone Project involving image recognition and object detection using Python.

Research Assistant at Center of Excellence for Medical and Robotics Research (2024-01 – Present)

• Developing ML-driven biomechatronic systems for medical applications.
• Managing and analyzing experimental data to enhance human-robot interaction outcomes.

MSc in Electrical and Computer Engineering – Nazarbayev University (2024-01 – 2026-12)

BEng in Computer Engineering – Michael Okpara University of Agriculture (2014-01 – 2019-12)