Summary
Shashank Shankar is a Senior Software Engineer with 12 years of engineering experience and an MS candidate in Business Analytics at USC Marshall, combining production software development with strong applied data science expertise. Currently at Qualcomm, he has moved from software engineering into senior roles while regularly applying ML techniques—ranging from classical methods to deep learning frameworks like TensorFlow and PyTorch—and tooling such as PySpark, AutoML, and Gurobi. He excels at turning messy data into actionable insights, backed by hands-on experience in A/B testing, experiment design, and statistical inference from healthcare analytics to consumer datasets. Past internships and research stints (including a top-performing CNN project at NUS and public-policy–oriented AI work in Japan) reflect a knack for translating domain questions into performant models. Comfortable across SQL/NoSQL stores and visualization platforms like Tableau and PowerBI, he blends algorithmic depth with pragmatic delivery in fast-paced decision environments.
12 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at N M A M Institute of Technology, NITTE
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at USC Marshall School of Business