Harshvardhan Pinge
Data Science Consultant @ExxonMobil
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WORK HISTORY
Data Science Consultant @ExxonMobil
Calgary, AB, CA
Developing computer vision models to detect structural cracks across 82 haul trucks, enabling more efficient inspections and early defect identification to reduce unplanned mechanical breakdowns• Transforming 600+ inspection reports into standardized, searchable metadata using Python scripts in Azure Databricks, automating image extraction and facilitating cross-truck defect analysis
EDUCATION
University of Toronto - Rotman School of Management
Master of Management Analytics - MMA
American International School of Lagos
International Baccalaureate Diploma Program
Rotman Commerce, University of Toronto
Bachelor of Commerce - BCom • Management Specialist, Finance & Strategy Focus, Economics Minor
ABOUT HARSHVARDHAN PINGE
Hi, I\'m Harsh! I\'m a Master of Management Analytics candidate at the University of Toronto\'s Rotman School of Management, with a background in Finance and Strategy, and a growing interest in what happens when data science meets real financial and business decisions.My career started in finance roles where I built a revenue projection model, ran variance analysis, and centralized budget tracking that had previously lived across disconnected spreadsheets. What kept standing out was how much manual effort could be eliminated with better organization and cleaner data processes. That observation is what pushed me toward analytics.I\'m particularly interested in the intersection of data and finance, whether that\'s credit strategy, financial risk, or fraud and AML, as well as the broader opportunity for digital transformation across industries. What draws me most is generating insight with tangible impact and building solutions that scale.Currently, I\'m putting that into practice as a Data Science Consultant at Imperial Oil (ExxonMobil), applying advanced analytics to haul truck maintenance and operational risk. Always open to connecting with people working at the crossroads of finance, data, and AI!
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