Arash Zarindast

Data Science | Machine learning | Deep learning

Role
Risk Data Scientist at WEX
Location
Los Angeles, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Arash Zarindast

I am a seasoned data scientist adept at solving diverse challenges across various domains. With a strong background in research and analysis, specializing in machine learning, data engineering, and advanced analytics techniques, I have spearheaded transformative projects that have left a lasting impact. Proficient in Python, R, and a range of tools and libraries, I possess a unique ability to adapt my skills to address a wide array of data-driven challenges. With a proven track record of delivering impactful solutions, I am equipped to make significant contributions in any analytical environment. In my spare time, I enjoy hanging out with friends, playing tennis, and going to the gym.

Experience

  1. Risk Data Scientist

    WEX

    May 2025 — Present

    Led and shaped data, modeling, and process improvement initiatives to increase transparency, agility, and operational efficiency across collections and risk functions.* Helped drive the development of a data discovery engine, improving data visibility, accessibility, resource understanding, and identification speed for Data Science, ML, and Risk teams.* Developed and led the implementation of a state-of-the-art modeling framework, leading a team of 8 and delivering a ~67% reduction in Self-Cure charge-off rate, approximately $3M in impact, increased AUC from 0.64 to 0.81, and improved Average Precision by 60%+, peaking above 150%.* Advanced process improvement and optimization through stronger rules platform for risk bucketing, and automation opportunities, including proposals for an LLM-based knowledge base and agent-based communication workflows to improve onboarding, testing, and resource allocation.

Education

  • Iowa State University - College of Engineering

    Master of Science - MS, Industrial Engineering

  • Iowa State University - College of Engineering

    Doctor of Philosophy - PhD, intelligent infrastructure

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