Xavier Ikuenobe

Analytical and detail-oriented Data Scientist with a strong background in statistical analysis, machine learning, and project management. Skilled in extracting actionable insights from complex datasets and delivering data-driven solutions to optimise processes and drive business growth. Experienced in leading engineering design projects, ensuring successful completion through effective coordination, communication, and problem-solving. Passionate about leveraging data and technology to solve real-world challenges and improve decision-making. Highly motivated to further develop my Data Science knowledge and expertise in a fast-paced startup environment.

Galent Engineering Services Limited – Project Engineer
June 2023 - Date

• Preparing bids for projects.
• Providing project management and technical consultancy services to clients.

ITwize Technologies, Lagos, Nigeria - Data Scientist/ Machine Learning Engineer

April 2019 - September 2021

• Performed exploratory data analysis on large datasets to identify trends, patterns, and outliers, leading to a 10% increase in sales by optimizing pricing strategies.
• Developed automated data cleaning and preprocessing pipelines using Python, reducing data processing time by 30% and improving data accuracy.
• Created comprehensive reports and visualizations to communicate key findings and insights to management and stakeholders.
• Collaborated with cross-functional teams to identify data requirements and developed custom data models to support business operations.

Point Engineering Limited, Nigeria – Lead Project Engineer

February 2013 - September 2021

• Led multidisciplinary teams in the execution of engineering design projects from concept development to final implementation, ensuring project objectives were met within budget and timeline.
• Managed project scope, risks, and resources, maintaining effective communication channels with clients, vendors, and team members.
• Implemented project management methodologies and tools to streamline processes, resulting in a 15% reduction in project completion time.
• Conducted regular project status meetings, provided progress reports, and resolved issues to ensure project milestones were achieved.

University of Texas at Austin – PG Program in Data Science and Business Analytics | 2022-2023
Courses: Python for Data Science, Data Visualization with Python, Exploratory Data Analysis, Inferential Statistics Foundations, Estimation, and Hypothesis Testing, Common Statistical Tests, Linear Regression, Data preparation for modeling, Logistic Regression, Decision Trees, Ensemble Methods, Boosting, Feature Engineering & Handling Imbalanced Data, Regularization & Hyperparameter Tuning, K means Clustering, Hierarchical Clustering, Data Visualization with Tableau, Time Series Forecasting, Marketing & Retail Analytics, Finance & Risk Analytics, Web & Social Media Analytics, and Supply Chain & Logistics Analytics.

Cranfield University, Cranfield, UK – MSc Applied Artificial Intelligence | 2021-2022
Courses: Statistical Learning Methods, Systems Engineering, Intelligent Cyber-Physical Systems, Search and Optimisation, Logic and Automated Reasoning, Data Analytics and Visualisation, Deep Learning, and Ethical, Regulatory, and Social Aspects of AI.
Cranfield University, Cranfield, UK – MSc Process Systems Engineering | 2007-2008
University of Benin, Edo State, Nigeria – BEng (Hons) Mechanical Engineering | 1994-1999