Harshwardhan Lodha

Harshwardhan Lodha

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Machine Learning Engineer
Silver Spring, Maryland, United States

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Résumé


Jobs verified_user 0% verified
  • Pnc
    Data Scientist
    Pnc
    Mar 2020 - Current (4 years 8 months)
    ● Developed a machine learning model combining 16 existing risk scenarios to provide a single risk score for customers. The model resulted in a 99% recall of confirmed Suspicious Activity Reports (SARs) while achieving a 40% reduction in false positives over existing models. ● Deployed new risk models and updates to existing models in a live CI/CD environment to monitor suspicious transactions ensuring continued compliance with regulatory expectations and deadlines of the internal audit team. ● Designed an auto-updating risk model framework and convinced C-suite Risk group members to transition to it as a bank’s first by demonstrating a strong understanding of the risk variables and communicating a clear explanation of the exposure and vu
  • C
    Graduate Student
    Carnegie Mellon University School of Computer Science Institute for Software Research
    Aug 2018 - Dec 2019 (1 year 5 months)
  • Swiggy
    Data Science and Business Growth Analyst
    Swiggy
    Jan 2018 - Jun 2018 (6 months)
    • Grew adoption of “Swiggy Scheduled” (order scheduling) feature from 0 % (initiation) to 5 % of customers and oversaw nationwide expansion (4 cities -> 28 cities). It enabled better management of delivery logistics and increased the total addressable market by discovering new customers. • Created customer segments through clustering (unsupervised Machine Learning) approaches on ordering behavior to understand user behavior and customer journey resulting in more targeted campaigns and offer designs. • Used a supervised Machine Learning model based on customer metadata and order history to identify potentially high value but currently dormant customers to improve unit economics. • Created an automated reporting dashboard to make data-driven
  • I
    Summer Intern
    Indira Gandhi Centre for Atomic Research IGCAR
    Apr 2016 - Jul 2016 (4 months)
Education verified_user 0% verified
  • Carnegie Mellon University
    Master's in Information Technology Strategy - MITS, Data Science
    Carnegie Mellon University
    Jan 2018 - Dec 2019 (2 years)
    Skills: Convolutional Neural Networks (CNN) · SAT · Data Ingestion · Extract, Transform, Load (ETL) · Artificial Intelligence (AI) · Analytics · Machine Learning · Communication · Pattern Recognition · Computer Science · Problem Solving · Data Infrastructure · Software Development
  • B
    Bachelor of Engineering - BE, Mechanical Engineering
    Birla Institute of Technology and Science Pilani
    Jan 2014 - Dec 2018 (5 years)
    Skills: Convolutional Neural Networks (CNN) · SAT · Data Ingestion · Extract, Transform, Load (ETL) · Artificial Intelligence (AI) · Analytics · Machine Learning · Communication · Computer Science · Problem Solving · Data Infrastructure · Software Development
Projects verified_user 0% verified
  • N
    Navigating NYC using images and map through Grounded Dialogue
    Aug 2019 - Current (5 years 3 months)
    Skills: Artificial Intelligence (AI) · Machine Learning
  • C
    Creative AI
    Aug 2019 - Current (5 years 3 months)
    Skills: Artificial Intelligence (AI) · Problem Solving · Computer Science · Machine Learning