Vibhu Verma

MSBA Practicum – Data Scientist

Deloitte•  September 2020 - December 2020

• Analyzed World Bank data using CRISP-DM methodology, to suggest USAID the most important indicators to monitor for economic prosperity and change in corruption levels through temporal analysis using Tableau • Researched and Introduced supplemental data sources to add depth and credibility and extracted features to build more robust models which will solidify the anti-corruption project investment portfolio • Fusion of multiple data sources and using NLP techniques like, Topic modeling and Sentiment analysis, provided a highly diverse combination of potential features which helped us better classify global factors in shaping USAID’s strategic action in deploying its resources • Incorporated Unsupervised Machine Learning to find patterns in regional and country level investments, Supervised learning to classify different projects and compare prosperity of projects with the level of investments, Tableau to deliver results through tailored tableau dashboard