Meet the Experts Sanjana M Moodbagil: From Data Studio to Synthetic Data

Every summer we embed interns in our Karsun Innovation Center (KIC) to work alongside our technology experts, prototyping solutions to support our customers. Sanjana M Moodbagil’s internship projects ranged from no-code/low-code apps built using Google AppSheet to synthetic data and exploratory data analysis (EDA). In the interview below, she describes how her work improved career development resources, drove insights and contributed to the machine learning (ML) pipeline.

Photo of Sanjana M Moodbagil

First please tell us about yourself. Where are you going to school? What are you studying? What do you like to do in your free time?

Hi, My name is Sanjana M Moodbagil. I’m a graduate student at University of Southern California, Los Angeles majoring in Computer Science. In my free time, I like to play basketball, badminton or go swimming. I also like to experience new things. Since coming to the US, I’ve gone surfing, paddle boarding, ballroom dancing, skiing, a few hikes, etc. 

Could you share a little bit about the project you worked on as part of this internship? What challenges does it solve? What technologies and tools are you using?

Initially, I worked on creating a career path app using AppSheets for KIC Konnect. The purpose of this app is to keep track of career paths and transitions at Karsun. 

For most of my internship, I worked on a Data Synthesizer project. I worked with a team to create a web application that generates fake data which is an accurate and scalable replacement for real-world records. The purpose of this is to generate PII anonymized synthesized data for AI/ML use cases. I mostly worked on the backend part of the project using Python, MySQL, Synthetic Data Vault (SDV) library, seaborn and matplotlib. I worked on data collection and preprocessing, created synthetic data models for time series data, automated the generation of metadata for relational databases required for modeling and performed Exploratory Data Analysis to understand and compare the structural and statistical properties of original and fake data. I worked with AWS services like AWS S3 bucket and AWS CLI to test the backend. 

Towards the end of the internship, I worked on creating dashboards for the IT department on Google Data Studio. I gained experience working on API integration of Google Admin and EZOfficeInventory with App Scripts.

What is your favorite part about working with the Karsun Innovation Center? Is there a weekly meeting or ritual you enjoy? The opportunity to learn more or get a new certification?

I enjoyed the biweekly ‘show, don’t tell’ meetings where I learned about other ongoing projects at KIC. I was introduced to new ideas and tools. I was given the opportunity to work on a project in my area of interest. Working on the project with a small team allowed me to contribute to the entire ML pipeline. Despite working with people who were highly experienced, I was able to put forth my opinion with ease and I was always heard. Apart from the project, I was given access to many resources on AWS partner network to learn and to get certifications.

What is the biggest takeaway from your experience as an intern at Karsun?

My biggest takeaway from my experience is to be motivated, bold, and have ambition. This pushes you to think creatively, ask more questions, speak up about your ideas, take initiative and be authentic. There was so much research that had to be done initially, I had to define and discuss my own findings, explore alternate approaches and set of requirements based on analysis and results that align with end goals.

Sanjana was advised by Judewin Gabriel, Practice Advocate for the Karsun Innovation Center DevSecOps Practice.

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