Oluwatosin Adegboyega

Oluwatosin Adegboyega Business Data Analyst | ML & Predictive Analytics Lagos, Nigeria LinkedIn : linkedin.com/in/tosindataleader | Portfolio : medium.com/@Tosinrealest PROFESSIONAL SUMMARY Results-driven Business Data Analyst with 2+ years of experience transforming complex datasets into strategic business decisions that drive revenue growth and operational efficiency. Proven track record of delivering measurable outcomes: increased sales by 25% through predictive analytics, reduced inventory waste by 80% via automated dashboards, and improved cash flow predictability by 30% using ML-powered risk models. Skilled in building end-to-end analytics solutions from data extraction and modeling to executive dashboards and actionable recommendations. Combine strong technical capabilities (Python, SQL, Power BI) with business acumen to solve high-impact problems across sales,operations, and finance. PROFESSIONAL EXPERIENCE Business Operations Analyst | Hisbreath Cosmetic International May 2025 – Sep 2025 Lagos, Nigeria ● Engineered automated Power BI dashboards tracking inventory health, sales velocity, and expiration risk across 8+ branches, enabling real-time decision-making for inventory allocation and reducing manual reporting time by 75%. ● Conducted multi-branch inventory analysis using Python and SQL to identify ₦12M+ in expired stock, uncovering systemic issues in stock rotation practices and product demand forecasting accuracy. ● Developed and implemented a data-driven inventory control framework that reduced expired stock by 80% and improved stock turnover rate by 34%, directly impacting profitability and operational efficiency. ● Applied ML forecasting models (time series regression) to predict product demand patterns by branch and SKU, enabling proactive restocking decisions and reducing stockouts by 40% Sales Operations Analyst | Clearance Auto Dealer Nov 2024 – Mar 2025 Lagos, Nigeria ● Built predictive sales models using Python (Scikit-learn) and SQL to forecast monthly revenue, identify high-value customer segments, and optimize inventory allocation across regional branches, improving forecast accuracy by 28%. ● Designed executive dashboards in Power BI visualizing sales performance, inventory turnover, and regional trends, delivering insights that informed strategic decisions resulting in a 25% month-over-month sales increase. ● Conducted regression analysis to identify key sales drivers and revenue bottlenecks, delivering recommendations on pricing strategy, inventory mix, and sales territory optimization that improved conversion rates by 18%. ● Collaborated with cross-functional teams (sales, operations, finance) to translate analytical insights into operational workflows, developing automated reporting systems that reduced reporting cycle time from 5 days to 24 hours. Data Analyst | E-Commerce Operations Mar 2023 – Nov 2024 Lagos, Nigeria (Contract) ● Analyzed multi-platform sales data (Shopify, Instagram, marketplace APIs) using Python and SQL to track customer behavior, product performance, and marketing ROI, processing 50K+ transaction records monthly. ● Developed dynamic Excel and Power BI dashboards for marketing and sales teams showing conversion funnels, campaign performance, and customer lifetime value metrics, improving marketing spend efficiency by 22%. ● Applied customer segmentation analysis (RFM modeling, cohort analysis) to identify high-value customer segments and churn risk patterns, enabling targeted retention campaigns that improved repeat purchase rate by 31%. ● Led data-driven pricing strategy initiative by analyzing competitor pricing, discount effectiveness, and price elasticity, resulting in 12% improvement in average order value while maintaining conversion rates. KEY ANALYTICS PROJECTS ML-Powered Payment Risk Prediction System Built end-to-end machine learning solution using Python (Scikit-learn, Pandas) to predict customer payment default risk 115 days in advance. Trained Logistic Regression classifier achieving 87% accuracy on 693-customer dataset with features including payment history, transaction patterns, and customer segments. Developed dual-risk strategic framework identifying behavioral risk (SME segment, 43% default rate) vs. exposure risk (Corporate segment, ₦835M outstanding). Integrated predictions into Power BI dashboard with DAX calculations for real-time risk scoring, improving cash flow predictability by 30% Customer Segmentation & Churn Prediction Analysis Performed advanced customer segmentation using Python (clustering algorithms, RFM analysis) and SQL to categorize 15K+ customers by purchase behavior, lifetime value, and engagement patterns. Built classification model to predict churn probability, identifying at-risk segments with 82% precision. Delivered actionable retention strategies targeting high-value customers showing early churn signals, enabling proactive intervention campaigns. Revenue Optimization & Discount Strategy Dashboard Designed comprehensive KPI dashboard tracking revenue trends, discount ROI, payment method performance, and customer acquisition costs across multiple sales channels. Conducted statistical analysis to measure discount effectiveness and identify optimal pricing thresholds. Analysis revealed discounts >15% showed diminishing returns, informing revised pricing strategy that increased profit margin by 8% while maintaining sales volume. TECHNICAL SKILL Programming & Analysis: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), SQL (PostgreSQL, MySQL), DAX. Machine Learning: Regression, Classification, Forecasting, Customer Segmentation, Model Evaluation Visualization & BI : Power BI (Advanced), Excel (Pivot Tables, VBA, Advanced Formulas), Tableau Business Analytics: A/B Testing, KPI Development, Statistical Analysis, Predictive Modeling, Data Storytelling EDUCATION & CERTIVICATION OND, Business Administration — The Polytechnic, Ibadan (2020 – 2022) Advanced Analytics Certifications — Google Data Analytics, Power BI, SQL (In Progress)