Oladele AWONUSI Msc

At 10Alytics, I serve as a Data Analyst Consultant, handling real-world data science projects with a focus on financial services, fraud detection, and market analytics. I design end-to-end data pipelines, build predictive models using Python and R, and deliver actionable insights via visual dashboards. One notable contribution includes developing a classification model for fraud detection in online payment systems and a churn analysis for banking product uptake.

Provides lab sessions, instructional and administrative support to enhance student learning and classroom efficiency. Grade papers, hold office hours, proctor exams, and occasionally lead discussion sections.

As an IT Support Technician, I provide technical assistance and support across various hardware and software systems. I troubleshoot system errors, manage service tickets using BMC Remedy, and ensure smooth daily IT operations in a hybrid environment. I also assist with setting up and maintaining IT infrastructure, ensuring uptime, and supporting secure data environments — laying the groundwork for data-intensive operations and analytical workflows.

As a Data Analyst at DataSek Systems Ltd., I developed data models and automated reporting dashboards using Power BI and Tableau. I extracted and transformed data from relational databases and cloud sources, and used SQL to streamline large-scale data queries. I was also involved in analyzing key industry and customer trends to support strategic business decisions.

At Standard Habitat Limited, I worked as a freelance Business Intelligence Analyst, contributing to real estate data projects. I managed investment datasets, created dynamic dashboards to track sales trends, and provided critical insight into property performance and ROI. My responsibilities included developing Excel-based tools and using SQL for data integrity checks and financial analysis.

Expert en Sciences des Données - RNCP 34262-7 Modules Taught: - Data Analysis/Science: Applied Mathematics For Data Science, Statistical Analysis and Machine Learning. Big Data Processing with R, Python Machine Learning Labs, Semantic Web technologies for Data Science developments - Data Management: Data Wrangling with SQL, Datawarehousing & ETL, Data Pipeline, Document and Graph Databases – NoSQL - Operational Methodologies: IT Project Management – PMP-PMI and Agile Approaches, CRM Data Management, Data Laws & Regulations – Philosophies, Geopolitics & Ethics - Data Management and Visualization: Advanced Excel For Data Analytics and Machine Learning, Data and Machine Learning Visualization Ecosystem, Reporting and Visualization-Microsoft PowerBI, CRM Data Management-Power Platform.