Heribert Melito Joseph

Data-driven analytics professional with nearly 3 years of experience in supply chain analytics, business intelligence, and process optimization. Proficient in end-to-end supply chain management, business requirement analysis, and translating data into actionable insights and operational improvements. Adept at collaborating with cross-functional stakeholders to align technical solutions with business objectives, with a strong track record of delivering results in fast-paced environments. Developed solid analytical and problem-solving abilities in collaborative business settings, with hands-on experience using SQL and Tableau to support data-driven decision-making.

• Oracle Fusion Cloud Applications SCM Certified Foundations Associate – Oracle
• Python – IIT Madras & GUVI
• Python Using Artificial Intelligence – AI for Techies
• Generative AI Fundamentals – UpGrad
• System Design for Supply Chain Management and Logistics – Chalmers University of Technology & edX
• Strategic Sourcing and Category Management in Supply Chain Management – TCS iON
• Introduction to Digital Marketing – Great Learning

Banking Fraud Detection & ROI-Focused Credit Risk Modeling: Independently led an end-to-end fraud analytics initiative to identify high-risk credit card transactions from a dataset of 1.85M records (with only 0.52% fraud rate). I performed data cleaning and feature engineering, applied SMOTE to address the severe class imbalance, and built a Random Forest Classifier which achieved 88% recall with strong precision. The model enabled scalable real-time fraud detection with minimal customer disruption. I also conducted a detailed cost–benefit analysis, estimating ~$94K in monthly savings (~$1.13M annually), and structured the entire approach using systematic problem-solving frameworks.