Summary
Marvin Lav is an application developer and early-career data scientist with 11 years of cross-disciplinary experience blending chemical engineering, signal processing, and software development. He builds data-driven software and ML pipelines—having implemented Python GUIs, Flutter mobile apps, and regression models to translate optical sensor signals into meaningful concentrations for field use. His background in laboratory sensor characterization and SOP creation informs rigorous data collection and calibration practices that speed analysis (for example, an R script he wrote cut calibration processing from hours to minutes). Currently at Los Angeles County ISD after hands-on roles integrating sensors with robotics and drone platforms, he brings a pragmatic bridge between experimental science and production software. Open to data analyst or data scientist roles, he leverages domain expertise to turn noisy instrumentation data into reliable analytics and actionable insights.
11 years of coding experience
12 years of employment as a software developer
University of California San Diego
Master's Degree, Signal Processing and Communications, Master's Degree, Signal Processing and Communications at University of California, Los Angeles
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Western Governors University
English, Chinese