Summary
Vinayak Karande is a data scientist with eight years of industry experience and a decade-long background in analytics, currently applying ML and data engineering at Amazon from his base in Vancouver. He combines practical expertise in Python, SQL, NLP, and deep learning with hands-on deployment experience on AWS and Azure, including Docker and SageMaker. Vinayak has a track record of building end-to-end pipelines that automate model selection, improve data acquisition through web scraping, and translate results into executive dashboards using Power BI and Tableau. His work has driven cost savings and product profitability at organizations including Dun & Bradstreet, Accenture, and GSL Group, where he deployed collective-intelligence deep learning solutions. Trained in engineering with business analytics study at ISB, he bridges technical rigor and commercial insight to turn complex datasets into operational value. He also brings a practical bent for automation and productionization that moves prototypes into running systems.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering - BE, Computers, A, Bachelor of Engineering - BE, Computers, A at Fr. Conceicao Rodrigues College of Engineering
Business analytics, Business, Business analytics, Business at Indian School of Business