Summary
Darius Kharazi is a Lead Data Scientist based in Columbus, Ohio with eight years of hands-on experience building production-ready ML and big data solutions across retail and consulting environments. He has progressed through multiple roles at Abercrombie & Fitch—spanning network optimization, personalization, real estate analytics, and now leading data science—demonstrating an ability to translate complex models into business impact. Technically fluent in Python, R, SQL, Spark, Kafka, Hadoop, and cloud warehousing, he pairs statistical rigor (XGBoost, TensorFlow, NLP) with practical data engineering to ship scalable pipelines and visualization-driven insights. Darius has built web services and apps (Flask, Dash) for model deployment and operational analytics, and brings real-world experience integrating geospatial and safety prediction systems. Known for explaining technical concepts to non-technical stakeholders, he focuses on actionable algorithms that improve decision-making across operations and personalization.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.), Data Analytics, Bachelor of Science (B.Sc.), Data Analytics at The Ohio State University