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  • Analytics
  • App development
  • Application development
  • Application Programming Interface (APIs)
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Software Engineer

Software Engineer – Cigna

I worked on a software development team over the course of the summer. I worked within AWS to automate various processes such as anomaly detection, ec2 instance detection, and more. To do this I utilized Python, AWS Lambda, and Linux. I also worked on a team comprised of fellow interns from across the country. We were tasked with making a fully functional end-to-end software application. I served as the data backend lead for this project. We used: HTML, CSS, React, DynamoDB, AWS, NodeJS, and Okta. We then had to present our project to hundreds of people at the end of the summer and ended up placing 3rd overall out of 8 teams. 

I worked on various automation projects over the summer. Some examples are: I automated anomaly detection for ec2 instances to send an alert every 2 weeks via email to my manager reporting all the ec2 instances that were over a certain price limit. I also automated a domino process to determine which domino datasets were created by employees no longer employed by Cigna. These datasets were then deleted. In addition, I automated the cost anomaly detection process of AWS to alert managers of cost anomalies that were older than 30 days. These were done mostly with Python, Lambda, and Linux. With my intern team, we created a web application that allowed employees to see when others would be in-person or virtual on any given day in order to boost productivity. 

What I learned in MIS 2502 (Data and Analytics) was hugely helpful for my intern project. I learned a lot about how databases work and thus I was able to use that knowledge to help set up and work on our own database in DynamoDB. The Python I learned in MIS 3580 (Special Topics with Doyle) was also very helpful as I used Python daily for my work. 

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