Master's Thesis, "Identifying significant variables that drive the stock investment market and predict future stock investment returns using the Data Science approach." (Python sklearn, Matplotlib, IBM SPSS, and Microsoft Excel)
The aim is to investigate the key factors that influenced the stock investment market during the great recession i.e., from 2007 - 2009, using Stock Investment Pro datasets from 2005 - 2011., Influential factors were identified using feature engineering techniques, and by performing stepwise regression., Identified influential factors, were then modeled using data science techniques to predict the future stock investment returns.
Predictive Analysis on Carbon Monoxide Emission on Freeways of Nebraska., (Python, IBM SPSS, and Microsoft Excel)
The analysis was done on the dataset of Carbon Monoxide Emission on Freeways of Nebraska which helped to assess the factors affecting the percentages of CO emission.
Exploratory Analysis on Nebraska Education System., (R, Tableau, and MicroStrategy)
Performed data analysis on the Nebraska Education System data set. Insight obtained could be used to determine the success factors of schools in Nebraska.