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JS@japhetsibanda
Multidisciplinary data professional with expertise in analytics and development.
South AfricaI am a multidisciplinary data professional with over 5 years of experience in data analytics, full-stack development, AI/ML model development, and financial modeling. My expertise lies in delivering robust, scalable solutions using SQL, Python, and R across various sectors including physical asset management and public sector education. I am passionate about leveraging technology to drive strategic decisions and committed to excellence in every phase of the software development lifecycle.
Throughout my career, I have architected and deployed modular dashboards, built geospatial analytics pipelines, and developed full-stack applications. My work has consistently resulted in significant improvements, such as a 30% boost in asset verification accuracy through AI-driven geospatial joins and a 50% increase in dashboard adoption due to enhanced UI/UX design. I thrive in collaborative environments and enjoy leading agile sprints and peer reviews to foster innovation.
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Work history, roles, and key accomplishments
Spryartech
Oct 2022 - Present (3 years 1 month)
Architected and deployed modular R Shiny dashboards with custom CSS and unit testing. Built geospatial analytics pipelines using Apache Sedona, GeoPandas, Leaflet, and Google Maps APIs.
Gunther Solutions South Africa
Jan 2020 - Present (5 years 10 months)
Built tools for stock analytics, risk modeling, and portfolio optimization. Created R packages for equities analysis, strategy backtesting, and volatility filters.
Bulawayo Polytechnic
Jan 2010 - Present (15 years 10 months)
Delivered lectures in Electronics, Engineering Mathematics, C++, Python, and Operations Research. Supervised over 100 final year projects including microcontroller systems and data analytics.
Degrees, certifications, and relevant coursework
WUMSc in Financial Engineering, Financial Engineering
Completed a Master of Science in Financial Engineering, focusing on advanced quantitative methods and financial modeling. Gained expertise in areas such as derivatives, risk management, and algorithmic trading.
NTMSc in Applied Mathematical Modelling, Applied Mathematical Modelling
Pursued a Master of Science in Applied Mathematical Modelling, developing skills in mathematical analysis, simulation, and problem-solving. Focused on applying mathematical principles to real-world challenges.
NTBSc (Hons) in Operations Research & Statistics, Operations Research & Statistics
Achieved a Bachelor of Science with Honors in Operations Research & Statistics, specializing in data analysis, statistical inference, and optimization techniques. Developed strong analytical and quantitative skills.
UZBSc in Physics & Statistics, Physics & Statistics
Obtained a Bachelor of Science in Physics & Statistics, combining foundational knowledge in physical sciences with statistical methods. Developed a strong understanding of data interpretation and scientific principles.
Software and tools used professionally
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