Summary
Shruti Bhanderi is an Applied Scientist II with nine years of experience building machine learning and statistical solutions that turn large, messy datasets into actionable decisions. Currently at Amazon in Redmond, she focuses on scalable pipelines and automation to prioritize datasets for sustainability research, blending simulation, web scraping, and human-in-the-loop feedback. Her background spans telecom and ad-tech—leading call-center optimization at Bell and performance improvements at Acquisio—so she combines product-focused impact with rigorous modeling. Comfortable moving prototypes into production, she collaborates closely with engineers and surfaces insights through Tableau dashboards for stakeholders. Trained at McGill (M.S. in Computer Science), she also has hands-on bioinformatics and mentoring experience, reflecting a knack for explaining complex ideas and accelerating team capabilities. Known for pragmatic engineering and a sustainability bent, she thrives on projects that require both statistical depth and production-grade systems.
9 years of coding experience
10 years of employment as a software developer
B.Tech(computer science) Computer Science, B.Tech(computer science) Computer Science at Nirma University
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at McGill University