Internship Description

This final report concludes my internship at EMR Technical Solutions, LLC (EMRTS). EMRTS, a consulting agency established by Verbus Counts in 2006, is renowned for assisting companies and investors in the MMIS space, aiming to pioneer the provision of MMIS-as-a-Service for the
first half of the 21st Century. Drawing from a pool of professionals with profound expertise in various MMIS areas, from information technology to management, EMRTS stands as a paragon in the field.

Role Description

● The Modern Workplace Internship role is a unique opportunity for anyone seeking
professional training and hands-on experience with cutting-edge enterprise technology.
● As a Software Engineering intern, I worked directly with Senior Consultants on a large
cross-section of engagements providing technical and research support.
● EMRTS’s Modern Workplace team works with clients to deliver dynamic and deeply
functional user engagement utilizing the latest technology from industry-leading firms.
● This position offers a rich diversity in the clients that are engaged, and the tools
leveraged to deliver world-class solutions.

Internship Achievements

During my four-month tenure, my internship focused on a broad array of tasks, including:

1. Data Collection:
   I had the opportunity to gather extensive data regarding the last 10 years’ Medicaid enrollment and expenditure, which is crucial in building a strong foundation for future predictions.
2. Team Collaboration:
   To facilitate online team collaboration, I developed my skills using Linux and Github, understanding their applications and increasing my proficiency.
3. Healthcare Knowledge:
   I gained a broad understanding of various aspects of US healthcare insurance, particularly Medicaid and Medicare. This also included insights into common fraud schemes, helping to underline the importance of rigorous data analysis and monitoring.
4. Algorithmic Knowledge:
   My technical skillset was greatly enhanced through the study of various algorithms. I learned about the time series forecasting models such as the Prophet model, and problem-solving methods associated with the traveling politician problem and the bucket problem.
5. Time Series Forecasting:
   A major part of my internship involved examining Medicaid enrollment and expenditure. Using a decade’s worth of data, I implemented time series methods to predict the next ten years’ trends. This was particularly valuable in applying my Python programming skills and proficiency with the Prophet model to perform predictions on annual and monthly data for both US and California.

I first cleaned the raw data and split it into training and test sets. Then, I trained the Prophet model with the training set and made predictions on both the training and test sets, and calculated the scores for model-related accuracy and performance. After that, I redesigned the model using the complete dataset and used it to predict the data for the next ten years.

Conclusion

The internship at EMRTS has been an enriching and enlightening experience. I was able to apply my academic knowledge to real-world situations and, in turn, refine my skills and deepen my understanding in a professional setting. I am grateful for the experience and look forward to
leveraging the knowledge and skills I’ve gained to further my career in the tech industry.