Olaseni Oyefejo

OLASENI IFEOLUWA OYEFEJO Plot 4, Egbapeju Street, Shogunle, Oshodi, Lagos, Nigeria - |-LinkedIn: https://www.linkedin.com/in/oyefejo-olaseni | Portfolio: https://www.datascienceportfol.io/olasenioyefejo PROFESSIONAL SUMMARY Data science professional with expertise in data collection, cleaning, analysis, visualization and predictive modelling. Skilled in Python, SQL, Power BI, Excel and Business Intelligence reporting. Adept at translating complex datasets into actionable insights, ensuring data integrity and accuracy. Adept at using statistical methods and machine learning to deliver data-driven recommendations that improve business processes and performance. WORK EXPERIENCE: Driver Quality Analyst | BOLT - Remote February 2025 - Present • Identify low-rated rides and investigate root causes of poor service quality • Conduct deep dive into flagged issues to uncover recurring patterns • Prepare detailed reports highlighting areas of concern with actionable recommendations • Escalate findings from quality checks to the designated team points of contacts (POCs) for resolution • Analyze weekly cancellation data to identify drivers behind ride disruptions • Ensure accuracy and consistency of ride quality data through validation checks and reporting processes. Financial Data Analyst | EIMAR CONSTRUCTIONS - Hybrid July 2020 - January 2025 • Processed and Standardized 6,000 + monthly transactions from multiple into QuickBooks, improving accuracy and reporting • Automated transaction categorization with python scripts, reducing manual input time by 40% • Built interactive Power BI dashboards to track financial KPIs in real-time • Trained new hires on QuickBooks usage, improving onboarding efficiency • Collaborated with stakeholders to define reporting requirements and deliver business intelligence dashboards that supported strategic decisions. • Implemented data validation procedures to maintain accuracy and integrity across financial datasets. Python Instructor | TECH SETTERS INSTITUTE - Fixed Term July 2024 – December 2024 • Designed and delivered Python training covering data manipulation, statistical analysis and machine learning • Taught hands-on modules with NumPy, pandas, Matplotlib and scikit-learn, for data analysis and visualization • Mentored student on writing efficient, scalable Python codes • Utilized a range of teaching tools and technologies to facilitate remote and in-person learning experiences. • Integrate real-world case studies and projects to enhance applied learning. EDUCATION: Bachelor of Science (B.Sc.), Accounting – Federal University of Oye-Ekiti, Ekiti, Nigeria (2025) Higher National Diploma (HND), Insurance - Lagos State Polytechnic, Lagos, Nigeria 2021 | CGPA: 3.46/4.00 | Best graduating student | Babington Ashaye Foundation Scholar National Diploma (ND), Insurance - Lagos State Polytechnic, Lagos, Nigeria 2018 | CGPA: 3.67/4.00 | Best graduating student | Babington Ashaye Foundation Scholar CERTIFICATIONS • Data Science - Explore AI Academy (ALX Africa), 2024 • Data Science - 3MTT Nigeria, 2024 • Data Science - New Horizons Nigeria (GIZ), 2023 KEY SKILLS • Data science: Data Cleaning and preprocessing, Statistical analysis, Machine Learning, Database management, Data visualization, Version control, Business Intelligence • Tools and Software: Python, SQL, Power BI, Advanced Excel, Microsoft suite, Google suite, QuickBooks, ZohoBooks, Canva • Core Competences: Problem solving, Attention to detail, Communication, Collaboration, Interpersonal skills PROJECT HIGHLIGHTS Predicting Health Insurance Charges (GitHub) • Developed a predictive model using ensemble machine learning algorithms achieving 99% accuracy. • Conducted exploratory data analysis (EDA) to identify key cost drivers and visualized results using Matplotlib and Seaborn. Hotels Ratings and Reviews Analysis (GitHub) • Analyzed large datasets of hotel reviews to identify customer satisfaction trends • Utilized pandas and NumPy for cleaning, EDA and Seaborn for visualizing patterns. AWARDS & HONOURS • 2nd Prize, Consolidated Hallmark Insurance National Essay Competition (2021) Insecurity in the Nation: Threats and Opportunities for Insurers • 1st Prize, Inter-Faculty Debate Competition (2021) Employing maid is necessary for a career woman, wife and mother • Departmental Award of Appraised Service, Academic Director (2021) • 3rd Prize, Consolidated Hallmark Insurance National Essay Competition (2020) Financial Technology Disruption in the Banking Sector and Lessons for the Insurance Industry (A case study of Opay) • Departmental Award of Appraised Service, Assistant Financial Secretary (2018)