Techwave Internship (Summer 2016)

Introduction

In summer 2016, I joined Techwave, Inc. in Hyderabad, India as an intern. This was my first internship during my undergraduate studies, so I was both eager for and uncertain about the experience, but any qualms I had were quickly dispelled once I got into the flow of things. I really appreciate the experience I had, as this internship introduced me to several topics that I continue to pursue today in my graduate studies!

Projects

Customer Lifetime Value

CLV Report

Used regression methods in R to model individual customers’ Customer Lifetime Value (CLV) in the fourth quarter of a certain year given each customer’s Recency, Frequency, and Monetary values. Used Tableau to discover insights in the predicted data.

Dallas Crime Incident Data Analysis

Dallas Crime Report

Used ARIMA modeling, ANOVA, and logistic regression (in R) to analyze influence of rainfall and gold prices on GDP. First, generated predicted values of Indian GDP, gold price, and inches of Indian monsoon rainfall through ARIMA modeling. Next, used ANOVA to determine significance of relation of gold price and rainfall to GDP. Finally, found a logistic regression model to accomplish the same task. Concluded that gold price is strongly positively correlated with Indian GDP, but monsoon rainfall fails to have any relation with GDP.

Gross Domestic Product Analysis

GDP Report

Takeaways

Introduction to the following topics:
- Statistical data analysis
  - Analysis of Variance (ANOVA)
- Data visualization
- Machine learning
  - Neural networks
  - Clustering
    - k-means
    - Hierarchical
- Data mining
  - Apriori algorithm
  - Decision tree learning
- Databases
Tools
- R/RStudio
- Tableau

Conclusion

Though my major is aerospace engineering, I feel that my experience as a Techwave data science intern has enriched my outlook on engineering, since it gave me the ability to view engineering topics from an analytical stance.

In addition, as I mentioned before, many of the topics to which I was introduced during this internship continue to interest me in my research, particularly machine learning and neural networks, and personal projects such as soccer data analysis.