• Developed a highly accurate and Interpretable XGBoost Credit Risk Model utilizing SHAP values, enabling the creation of a Scorecard that improved Loan approval efficiency by 40% and reduced default rates by 25%. • Developed an application model using Demographic Data and Bank Statement Analysis to estimate the Credit Affordability of new Applicants with no Credit history, resulting in a 20% increase in approved applications. • Conducted Continuous Exploratory Data Analysis, Feature Engineering, and Model Backtesting, leveraging PySpark for large-scale data processing, identifying new predictors and discriminative models that improved model performance by 20%. • Integrated a BNPL Credit Decision Engine into an E-Commerce Checkout System providing Flexible Purchase Finance for Credit-worthy Customers increasing Sales Revenue and Customer Lifetime Value by 30%. • Developed a Price Recommender System for a Food and Beverage Retail Chain using Demand Forecasting and Price Elasticity Models, boosting revenue by 20% and market share by 15%. • Established quality control workflows for data validation, significantly minimizing the risk exposure due to inaccurate Third-party data. • Created and managed Credit Portfolio Reports, Marketing Effectiveness Reports, and Lending Trend Analysis that helped monitor and improve Lending Assets.

• Spearheaded the transition from Decentralized Document Management to Centralized Contract Management System, which enabled real-time collaboration, tracked document changes, and controlled access among the Legal, Procurement, and Vendor teams. This resulted in a 60% reduction in Contract creation time. • Engineered an LLM-driven model that automated the extraction of key contractual clauses, achieving an 85% accuracy rate in identifying and populating metadata forms. This innovation facilitated a seamless data migration process from an old repository to the new Contract Management System. • Implemented a Lexical-Semantic search engine that enhanced document retrieval efficiency by 75%, allowing the Legal and Procurement Teams to find relevant documents in seconds rather than minutes. • Engineered a high-precision Computer Vision Solution with Mask R-CNN and Custom Dataset, accurately identifying ABI Beer Brands and Rivals, resulting in a 40% improvement in product tracking and Inventory management. • Collaborated with Business Development Managers to translate region-specific Inventory management rules to Code Specifications for Trade execution validation, resulting in a 30% increase in revenue through targeted promotion of Beer Brands.

Built a web app that consumes a machine learning model for predicting Real Estate Properties.Built a BI Dashboard for Monitoring in real time the performance of Stores in an E-commerceplatform.Social Media Analysis to access the global impact of EndSars Movement.