Jason Dsouza is a Machine Learning Engineer with a decade of experience applying statistical modeling and deep learning to solve real-world optimization and forecasting problems across supply chain, operations research, and enterprise analytics. He progressed from optimization roles at Bosch to senior data science leadership at Deloitte and now applies production-scale ML at Meta, combining expertise in Spark/Hadoop ecosystems, TensorFlow/Keras, and a broad programming toolset. Known for delivering high-impact, timely solutions, he blends strategic leadership with hands-on model development—frequently bridging classical methods (PCA, ensembles, time series) with neural approaches (CNNs, LSTMs). Based in Menlo Park, he pairs technical rigor with creative pursuits like guitar and portrait sketching, hinting at a design-minded approach to data-driven problems.
10 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Worcester Polytechnic Institute
Bachelor of Engineering (B.E.) Mechanical Engineering, Bachelor of Engineering (B.E.) Mechanical Engineering at UVCE
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