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Neha Bansal

Data Scientist | PhD Researcher in Applied Mathematics
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About Neha

Neha Bansal is a data scientist and researcher who applies mathematics, machine learning, and analytics to solve real-world problems from predictive maintenance and customer analytics to virus transmission modeling. She has worked with HP, Accenture, and Affine Analytics, delivering solutions across healthcare, insurance, gaming, and e-commerce. Currently a PhD candidate in Computational and Applied Mathematics at Cardiff University, Neha models infectious disease dynamics in enclosed spaces to support policy decisions. She also holds a Master's in Mathematics from the University of British Columbia and designs courses that blend research expertise with practical, industry-focused skills.

Background

Graduate Research & Teaching Assistant at University of British Columbia

Conducted research on stochastic processes and statistical modeling while teaching undergraduate mathematics courses.

Data Scientist at HP PPS India Operations

Developed machine learning models for predictive maintenance and customer behavior analysis, optimizing operational performance.

Functional & Strategy Analyst at Accenture

Worked on analytics solutions to improve business strategy and operational efficiency for enterprise clients.

Track record

Bringing real-world expertise from leading global companies

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Academic background

Doctorate (PhD), Computational & Applied Mathematics

PhD (Applied Mathematics)- Cardiff University

What can Neha teach you?

Neha specializes in Python, R, SQL, PySpark, and applied machine learning. Her courses guide learners in combining mathematical theory with practical data science applications, enabling them to tackle problems in analytics, forecasting, and modeling with confidence.

Python Machine Learning Deep Learning Microsoft Excel PyTorch Data Analysis Big Data Pyspark