Morgan B.
Junior Data Scientist
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Morgan K. is a proficient Data Scientist with a Master's in Industrial Engineering from Hunan University, China. Morgan specializes in machine learning and predictive modeling, evidenced by the development of hybrid deep learning models like the LSTM-Transformer, which achieved a 3% improvement in performance. His technical expertise extends to algorithm development for complex systems. During his tenure at Hunan University, Morgan engineered an ETL pipeline processing over 10 million data points, significantly reducing preprocessing time. His work included the creation of interactive dashboards for model visualization using Tableau and Matplotlib. Morgan's experience in EV battery health prediction models via personal projects highlights his ability to transfer aviation prediction techniques to the realm of automotive intelligence and sustainable mobility. Additionally, Morgan has a strong foundation in industrial applications from his role at Menegai Oil Refineries in Kenya, where he optimized process control systems.
Experience
Data Scientist (Research & Applied projects)
Hunan University · 2023 — 2025Developed a hybrid deep learning model (LSTM-Transformer ensemble) for predictive maintenance using the NASA CMAPSS dataset, which includes over 100 sensors and 200 aircraft engines. Engineered an ETL pipeline to process over 10 million data points, achieving a 30% reduction in preprocessing time via automated feature engineering. Enhanced prediction accuracy by 3% compared to baseline models, facilitating more accurate Remaining Useful Life (RUL) forecasts. Created interactive dashboards for visualizing model outputs and maintenance recommendations using Tableau and Matplotlib, employing techniques pertinent to EV battery health monitoring and automotive predictive systems.Process Control Analyst
Menegai Oil Refineries · 2021 — 2022Collected, cleaned, and organized production process data, ensuring quality and compliance. Developed data monitoring systems alongside statistical reports, which contributed to improvements in operational efficiency. Integrated consumer and process feedback to optimize automated control systems.Engineering Project Lead (Robotic Arm Control)
Dedan Kimathi University · 2022 — 2022Led a team of five in the design and development of a drilling robotic arm, employing precision control methods using sensors and MATLAB-Simulink. Created CAD models in SolidWorks and constructed simulation environments for the testing of control algorithms. Compiled project findings into formal reports and presentations for academic and industry evaluation.
Skills & Expertise
Education
- Master’s in Industrial Engineering and ManagementHunan University · — — 2025
- Bachelor of Science in Mechatronic EngineeringDedan Kimathi University of Technology · — — 2023
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