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Schedule Interview NowMy name is Rufaro L N. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: R, Python, BigQuery, Data Science, Machine Learning, etc.. I hold a degree in , , Bachelor of Science (BS), , , , . Some of the notable projects I’ve worked on include: AI for Sustainable Pasture Management, Grazing Efficiency Ai, Biomass-Based Grazing Recovery Modeling, Data-Driven Livestock Rotation Planning, AI-Driven Risk Detection for Hospital Patients, etc.. I am based in Mutare, Zimbabwe. I've successfully completed 23 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
Main technologies
5 years
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4 Years
4 Years
Potentially possible
Innovate Zimbabwe
Developed predictive models to determine optimal grazing schedules using live pasture cover and biomass measurements. Skills Developed predictive models to determine optimal grazing schedules using live pasture cover and biomass measurements. Deliverables: - Pasture Analytics - Biomass-Based Forecasting - Livestock Rotation Models
The objective of this project was to develop a data-driven approach to optimize livestock rotation by estimating grazing intervals based on biomass recovery. We utilized fresh and dry biomass data to model pasture regrowth, enabling clients to make timely grazing decisions. This approach helped balance forage utilization with pasture recovery, aligning with sustainable paddock management goals. Deliverables: • Data Analysis & Visualization • AI-Driven Predictive Modeling • Machine Learning for Biomass Estimation • Communication of Scientific Insights • Decision Support System Design
Created predictive analytics to estimate days since grazing using dry biomass recovery distributions. Deliverables: - Histogram Analysis - Predictive Modeling - Cloud-Based Deployment (Vertex AI)
Used live pasture cover data to automate resource allocation and improve paddock recovery tracking. Deliverables: - Recovery Phase Classification - Real-Time Monitoring - Sustainability Metrics
Led formulation of domain-grounded methodologies to identify high-risk patient groups based on symptom progression. Deliverables: - Research Design - Machine Learning Baseline Models - Clinical Risk Trigger Mapping
in Data Modeling & Information Systems
in Scientific Computer Programming
Bachelor of Science (BS) in Computer science
in Data Science
in AI, Machine Learning, Automation & Cloud Data Engineering
in Agricultural & Health Sciences
in Agentic AI