Original Link :

http://www.prchn.org/protected/ArticleView.aspx?iid=6YIBI22&dasi=4G3UI

Where did you grow up and where have you settled in Cleveland?

I grew in up in a city called Vizag in South India. I now live in Edgewater, Cleveland.

Tell us a little bit about your work before you joined the PRCHN. Where did you work, what did you do?

I was a statistics Intern at Cincinnati Children’s Hospital in Cincinnati. I worked there for a year while i was a master’s student at the University of Cincinnati majoring in bio-statistics. I worked on a project that is evaluating associations between environmental exposures and biomarkers of oxidative stress in children.

Iam responsible for Data management, Statistical analysis , Assisting with manuscripts and grants preparation

I was also involved in predicting quality of life in participants who underwent Anterior Temporal Lobectomy (ATL)

Did you start out in data analysis or did you perhaps have a different major in college?

I was a pharmacy major in college in India  but I got interested in data analysis towards the end of it and chose bio-statistics in grad school in the US.

 
You’ve been here a month now–what is your favorite part(s) of your new job?

Working with a great team and on a project that has a huge impact on the community in Cleveland. I’m currently assigned to IMPACT for the first six months. As you already know, IMPACT is a three-year intervention program helping the communities and families in  Cleveland improve their health with a focus on physical activity, nutrition, and sleep. Currently, we are done with collecting the  baseline and first-year data. My job is to make sure all the data is clean and to restructure the data in such a way that it becomes easier for researchers to use the data. For example, a researcher interested in nutrition will not have to go through the massive  data-set to find what they want in the future. I think this step is very crucial as it helps researchers get access to the data they need and publish their results quickly. This will be invaluable because the results in the end can be generalized beyond our sample  population and can be used to impact public policy.

.