Yogesh Bansal is a data scientist with 10 years’ experience applying machine learning, deep learning, computer vision and NLP to practical problems across industry and freelance projects. Based in Punjab, India, he combines strong R expertise with Python and Swift skills, and has built end-to-end solutions spanning data engineering, visualization, GIS mapping and Shiny-based web apps. His portfolio includes predictive modelling, Twitter and geospatial analyses, optimization tools for emergency vehicle deployment, and hands-on work with statistical methods (PCA, factor analysis, regression) and tools like SAS, SPSS and GRASS GIS. At Omni Analytics he drives applied AI initiatives while also contributing independently to client projects on platforms like Elance and Fiverr. Comfortable across web, app and infrastructure stacks, he brings a systems-minded approach to turning experimental models into deployable services. An engineer by training, he leverages a mechanical engineering background to blend quantitative rigor with pragmatic, production-focused solutions.
10 years of coding experience
Bachelor of Engineering (B.E.), Mechanical Engineering, Bachelor of Engineering (B.E.), Mechanical Engineering at Panjab University
Contributions:20 commits, 18 pushes, 1 branch in 4 months
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