Amit Chandna

About Amit Chandna

With several years of experience in data engineering and machine learning, I specialize…

Experience

1. Senior Data Scientist Machine Learning Engineer

   Mastercard

   Sep 2023 — Present

   Deployed production-grade time series anomaly detection models that reduced traffic-related costs by $150K annuallyBuilt end-to-end ML pipelines using Decision Trees and Random Forests to automate tuning recommendations based on client outcome data, cutting analysis time by 50% allowing team to dedicate more time towards building out other fraud detection models.Led enablement and mentorship for 7 teammates across North America and Asia; drove 100% team adoption of tools within 6 months, as validated by quarterly surveysAutomated reporting infrastructure using AWS services, achieving an 85% reduction in manual effort and saving $75K per year, freed up time for team to focus on investigating fraud trends for various stakeholders. Developed and published internal Python libraries to unify ETL, ML, and reporting workflows, improving deployment efficiency by 400%; libraries used across multiple production projectsBuilt an XGBoost fraud detection model with SHAP explanations to surface key drivers and increase model transparency for stakeholdersLed a Data Science Discussion group for the office spanning 6 different DS teams across Mastercard and reaching a total of 45 Data Scientists. Met monthly to discuss various topics and papers of interest for the various Data Science teams.

Education

• Københavns Universitet - University of Copenhagen

  Master of Science - MS

• The University of British Columbia

  Bachelor’s of Science

• General Assembly

  Data Science Immersive