Arvind Krishna

Arvind Krishna is an accomplished Business Intelligence Developer at Ecolab Digital Center since November 2022 and a Data Scientist Trainee at AlmaBetter since March 2022. Notable projects include building and optimizing an LDA model for topic modeling on BBC News articles, developing a Random Forest classification model to predict 10-year risk of Coronary Heart Disease, predicting TED Talk video views using regression analysis, and conducting exploratory data analysis on the World Bank Global Education Dataset. Previously, Arvind served as a Software Development Engineer at Attivo Networks, where a client-side log-processing tool was developed to identify suspicious activity in Windows event logs. Arvind holds a Master of Computer Applications from New Horizon College of Engineering and a Bachelor's degree in Computer Applications from the same institution, along with a diverse educational background in commerce and computer science.