Analytics Portfolio

MITx 15.071x: The Analytics Edge

• Learned core analytics methods including regression, decision trees, clustering, text analytics, visualization, and optimization

• Applied statistical and machine learning models in R to solve real-world problems

• Analyzed case studies such as Moneyball, IBM Watson, Netflix, eHarmony, Framingham Heart Study

• Strengthened ability to translate data insights into business and strategic decisions

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Tools & Techniques:

• Statistical modeling: Linear & logistic regression, decision trees(CART, Random Forest)

• Text analytics(Bag of Words)

• Clustering methods(Hierarchical Clustering. k-means Clustering) 

• Data visualization

• Optimization models using Excel Solver(Linear and Integer Optimisation)

• Programming in R for analytics