Mayank is a strategic minded analyst with business experience. He helped companies make informed decisions and achieve business goals while maximizing revenue and profits. Originally a financial analyst, Mayank became an entrepreneur and released an application that had, at peak, 13,000 MAUs. Recently he moved on to working on Instagram at Facebook, and then joined NYC Data Science Academy. During the bootcamp, he created a dynamic map using R and SQL to display NYC felonies over time, and then created an algorithm to predict Instagram likes on future posts using facial recognition, image analysis and a live scraping tool.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
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