Summary
Niyousha Mohammadshafie is a Senior Data Scientist based in Sunnyvale with six years of experience building scalable ML pipelines and production-ready analytics, currently at Apple. She has hands-on expertise taking projects from Snowflake data lakes through EDA, cleaning, model training and deployment, and has optimized ETL and distributed compute workflows (Spark, Dask, Ray, Bodo) for terabyte-scale datasets. Prior work includes fraud detection on highly imbalanced data and benchmarking big-data tooling to accelerate customer workloads by up to 80%, plus creating POCs and migration guides to port PySpark workloads to Pandas/Bodo. Her background in chemical and environmental engineering informs a data-driven, experimental approach—evident from academic PCR data pipelines that cut post-processing effort by 90%. Known for bridging research and product needs, she combines strong engineering rigor with practical performance tuning for real-world ML systems.
5 years of coding experience
7 years of employment as a software developer
Bachelor's degree Chemical Engineering, Bachelor's degree Chemical Engineering at Sharif University of Technology
Master's degree Civil and Environmental Engineering, Master's degree Civil and Environmental Engineering at University of Pittsburgh
Master's degree Chemical Engineering, Master's degree Chemical Engineering at Cleveland State University
English, Persian, Arabic, Turkish