Summary
Vahndi M is a Senior Data Scientist based in New York with over a decade of applied experience building machine learning solutions for both product and engineering domains. Currently at Amazon after leading applied data efforts as Principal Director at frog, Vahndi combines deep acoustics and signal-processing roots with modern data science practices to solve complex, real-world problems. Their background includes founding a consultancy that delivered DSP-driven analytics and automation tools, and pioneering acoustics applications—from 3D auralization to noise and vibration monitoring—while scaling cross-functional teams. Comfortable with probabilistic modeling, time-series forecasting, anomaly detection and feature engineering, they translate domain physics into actionable ML systems. Notably, their career blends hands-on algorithm development with productization experience across consultancy, startup and large-platform contexts, reflecting a rare mix of engineering craft and strategic delivery.
11 years of coding experience
20 years of employment as a software developer
Bachelor of Science (BS), Acoustics with Music, 2:1, Bachelor of Science (BS), Acoustics with Music, 2:1 at University of Southampton
Master of Science (MSc), Data Science, Distinction, Master of Science (MSc), Data Science, Distinction at City University London
English, French, Spanish