Uriah B.
Mid-Level Data Scientist
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Uriah B. is a data professional specializing as a Data Scientist and Data Analyst with hands-on experience in applying Python, machine learning, and data cleaning to real-world challenges. With a background that spans predictive modeling in housing price analysis, customer segmentation, and deep learning for computer vision, Uriah has contributed to projects in industries such as real estate, finance, conservation, agriculture, and robotics AI systems. At Turing Enterprises, Uriah worked as an LLM Trainer, creating and refining datasets for robotic task annotation and model fine-tuning. He has also participated in intensive, project-based programs at ALX Africa, WorldQuant University, and CareerEx, building machine learning models with scikit-learn and delivering actionable analysis via dashboards and data visualizations with Power BI. Uriah holds advanced engineering degrees and currently leads water treatment operations in the energy sector while mentoring junior operators.
Experience
LLM Trainer
Turing Enterprises Inc · 2025 — 2025Collaborated with Turing’s LLM partner to generate high-quality datasets essential for model fine-tuning and benchmarking. Annotated robotic task videos by translating actions into clear, timestamped descriptions for LLM training. Evaluated task success, identified errors, and ensured that annotations adhered to stringent quality and consistency standards.Data Analytics/Science Training Program
ALX Africa · 2025 — PresentEngaged in project-based training focusing on Python programming, data analytics, and machine learning. Acquired practical skills in Excel, SQL, Power BI, and Python (NumPy, Pandas, Matplotlib, Seaborn) for data manipulation, visualization, and statistical analysis. Developed machine learning models such as linear and multiple regression, regularized models, decision trees, random forests, SVMs, KNN, Naive Bayes, and various clustering algorithms utilizing scikit-learn.Data Science Training
CareerEx · 2025 — 2025Completed a comprehensive capstone project implementing the full data science workflow. Utilized Python libraries (Pandas, NumPy, Matplotlib, Seaborn) for exploratory data analysis and visualization. Built and assessed machine learning models across various techniques including regression, classification, clustering, and forecasting.Applied Data Science Training Projects
WorldQuant University · 2024 — 2024Conducted housing price analysis in Mexico by evaluating a dataset of 21,000 properties, focusing on factors influencing real estate prices. Imported and cleaned data, created visualizations, and executed correlation analysis. Developed a linear regression model for price prediction in Buenos Aires and created classification models for earthquake damage prediction using data from SQLite. Engaged in bankruptcy forecasting in Poland, employing random forest and gradient boosting models, and executed customer segmentation in the US using k-means clustering with PCA for visualization.Applied AI Lab: Deep Learning for Computer Vision Training Projects
WorldQuant University · 2024 — PresentEngineered convolutional neural networks in PyTorch for wildlife image classification in Côte d'Ivoire and crop disease classification in Uganda. Employed transfer learning and various optimization techniques to enhance predictions while utilizing k-fold cross-validation to address overfitting. Participated in traffic monitoring in Bangladesh by extracting frames from video files and applying pre-trained YOLO object detection models, further training the model for customized object detection.Senior Utility Plant Operator
Bistar Nigeria Limted (Nigerian LNG Train 7 Project) · 2019 — PresentLed a team of operators to ensure compliance with regulatory standards while managing efficient water treatment operations. Oversaw systems such as pumps, filtration, and chemical dosing to achieve water quality targets. Maintained accurate logs and records for seamless regulatory compliance and reporting, while training junior operators to promote safety and enhance team performance.
Skills & Expertise
Education
- PGD Petroleum TechnologyInstitute of Petroleum Studies, University of Port Harcourt · 2015 — 2016
- B.Eng Mechanical EngineeringNiger Delta University · 2008 — 2014