OLUWASEGUN TOSIN DAMILOLA

Developed and delivered engaging mathematics curriculum to secondary students, enhancing quantitative reasoning, statistical thinking, and problem-solving skills critical for data analytics.

Simplified complex numerical and statistical concepts, including probability, data handling, and algebra, for diverse learners, improving comprehension and retention.

Designed and analyzed student assessment data to identify performance trends, tailoring instructional strategies to improve learning outcomes and applying an evidence-based approach.

Implemented logical, step-by-step problem-solving frameworks, mirroring the analytical rigor and structured thinking required in data analytics work.

Maintained accurate academic records and performance tracking for over 100 students, reinforcing strong attention to detail and data accuracy.

Conducted comprehensive sales performance analysis on Adidas and superstore retail data, leveraging SQL queries and Excel/Power BI to identify profitability and inventory insights across product categories and regions.

Analyzed health-tech and heart disease datasets using EDA and machine learning models, identifying key risk factors to support predictive screening use cases.

Developed and evaluated EDA and machine learning models on housing datasets to accurately predict property values through strategic feature engineering.

Presented data-driven findings via polished dashboards and written reports, enhancing data storytelling, model evaluation, and reproducible analysis workflows.

Collaborated with a cross-functional team of product managers, designers, and developers to analyze hospital data and co-develop Carelynk, reducing patient no-show rates.

Analyzed sales and operational data for multiple business clients, including healthcare, identifying trends that optimized pricing strategies, inventory management, and patient flow decisions.

Developed and maintained client-facing dashboards and reports using Excel and Power BI, translating complex datasets into clear, actionable insights for non-technical stakeholders.

Utilized SQL for efficient data extraction, cleaning, and joining across multiple client databases, ensuring high data accuracy and consistency for analysis and reporting.

Managed multiple concurrent client analytics engagements, delivering data-driven recommendations that directly supported client decisions on sales strategy and resource allocation.

Performed statistical analysis on research datasets, deriving meaningful and actionable conclusions to support research objectives.

Applied Python (Pandas, Matplotlib) for advanced data manipulation, analysis, and visualization, enhancing research data processing capabilities.

Collaborated with researchers on survey and experiment design, optimizing data collection methodologies for accurate and reliable results.

Prepared comprehensive reports and visualizations, effectively communicating complex research findings to diverse stakeholders.

Taught and mentored over 20 students in data cleaning, analysis, and visualization techniques, fostering foundational data skills.

Executed data entry, cleaning, and validation procedures, ensuring high accuracy and consistency across business records for reliable reporting.

Applied MySQL for robust data extraction, transformation, and loading (ETL) processes, effectively supporting critical reporting needs.

Contributed to the creation of executive-level Power BI dashboards, providing leadership with visual insights to inform strategic decision-making and track key performance indicators (KPIs).

Collaborated with cross-functional teams to define and monitor key performance indicators (KPIs), ensuring alignment with business objectives.

Conducted ad-hoc analyses to address specific business questions, providing data-driven insights that supported operational improvements and strategic initiatives.

Developed and delivered engaging lesson plans for senior secondary mathematics topics, improving student comprehension and academic performance.

Implemented effective teaching strategies to promote deep student understanding, adapting methods to diverse learning styles and needs.

Monitored and assessed student progress rigorously, adapting instruction methods accordingly to maximize learning outcomes.

Provided individualized and small-group tutoring, offering targeted support that led to improved student achievement in mathematics.