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Mehul KumarMK
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Mehul Kumar

@mehulkumar1

MSc data science graduate student building predictive ML and data pipelines for smarter decisions.

Canada
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What I'm looking for

I’m seeking a data science position focused on large data processing, machine learning modeling, or predictive analytics—helping improve business decision-making and workflows. I bring reproducible pipelines, high-performance predictive modeling, and clear communication through visualization.

I’m an MSc data science student graduating in July 2026, with hands-on experience cleaning, processing, and analyzing complex datasets to uncover patterns that translate into action. I build reproducible data pipelines in Python, R, and SQL to support data querying, analysis, and visualization.

In my Graduate Student Researcher role, I developed predictive models with AUROC > 0.80 to enable high-confidence decision-making in complex, uncertain environments. I also collaborated with researchers to ensure analytical results became practical, decision-ready insights.

I’m especially drawn to work with large data processing, machine learning modeling, or predictive analytics. Beyond research, I’ve designed an algorithmic trading strategy using historical financial data and earned an Alberta Innovates Data-Enabled Innovation Award for data-enabled impact.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Eastern University logoEU

Eastern University

Master of Science, Data Science

2024 -

Activities and societies: Relevant coursework: Information Visualization; Data Science for Business; Introduction to Statistics; Foundations of Machine Learning (Python); Applied Machine Learning (Python).

MSc in Data Science (July 2024–present) with coursework in information visualization, data science for business, statistics, and foundations/applied machine learning using Python.

University of Calgary logoUC

University of Calgary

Bachelor’s Degree

2015 - 2019

Completed a bachelor’s degree at the University of Calgary (Sept 2015–April 2019).

Tech stack

Software and tools used professionally

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