I am a Statistics & Operations Research Graduate with a strong focus on predictive analytics and forecasting. My dissertation explores demand forecasting for essential medicines in rural hospitals, reflecting my ability to apply advanced statistical methods to real-world challenges. Skilled in thesis and dissertation writing, I combine academic rigor with practical expertise in mathematical modeling, stochastic calculus, and applied forecasting techniques. Passionate about bridging research and practice, I help organizations anticipate trends, minimize uncertainty, and optimize decision-making. ## Making sense out of numbers###

I am a Systems Developer and Quantitative Analyst operating at the intersection of Monitoring, Evaluation, Research, and Learning (MERL) and Software Development. I specialize in replacing manual, fragmented data processes with resilient, automated platforms that capture, store, and visualize insights with absolute integrity. Core Expertise Systems Development:Designing custom survey tools and backend architectures using Python (Flask, Flet) and PostgreSQL/SQL. Quantitative Analytics & MERL: Engineering reproducible data pipelines, validating inputs, and translating complex logical frameworks into actionable metrics. Database Optimization: Relational schema design and query tuning to maintain data speed and integrity at scale. LinkedIn profile: https://www.linkedin.com/in/kunashe-ndok... I bridge the gap between rigorous technical engineering and practical impact measurement. Whether you need an automated evaluation system, advanced statistical modeling, or resilient data pipelines, I build solutions engineered for scale, speed, and absolute credibility.