Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in data analysis.
Transfer program to U of M
Predict Data Scientists' salaries based on data downloaded from Kaggle
● Explored and cleaned the data
● Applied dummy encoding for categorical data
● Used Naïve Bayes, Random Forests, and SVM algorithms
● Built a stack of algorithms classifiers and train them using cross-validation.
● Naive Bayes outperformed with an accuracy of 81.54%
Effect of Screen Time on Sleep Latency
● Designed the experiment
● Gathered data using Apple Watch
● Performed Exploratory Data Analysis
● Ran Randomization, Difference in Means of Ranks,Pairwise comparison tests
● F-Statistic resulted in a p-value of .21