Hi I'm Sreya!

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Adolescent tumblr coder turned full-stack developer

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A Little About Me

I grew up in New Jersey and then went to college in Boston (a certified Red Sox and Celtics fan) at Northeastern University. I originally joined as a business major but switched over once I took my first CS class and found my passion for tech that still allows a creative outlet - growing up spending my time making Tumblr theme templates did not go to waste

Since then, I’ve worked at various companies (see below!) and am currently a Software Engineer at Scholastic in NYC, helping develop education tools for teachers and students to encourage learning and reading!

When I’m not in front of my computer, you’ll find me exploring the city, going to concerts, scouring the best restaurant, and attempting to learn how to box

Moving Onto Tech

    Frontend

  • JavaScript/TypeScript

  • React

  • GraphQL

  • Figma

  • Gatsby

  • Shopify (Liquid)

    Backend

  • Java

  • Python

  • SQL

  • MongoDB

  • Neo4j

  • Android Studio

    Tools

  • Git

  • Jenkins

  • Jira

  • AWS

  • Docker

  • Postman

Experiences

Projects

Here are some projects I developed while in school
Some even have interesting social and cultural connections!

2024 Election Results

Python (Pandas, Scikit-Learn)

As my final project for data science, my classmate and I produced a model that could predict county-level results for the upcoming presidential election, based on demographics. Our pipeline consisted of getting the data (CSVs for election and demographic data), cleaning (extracting only relevant information the CSVs and merging them into one dataframe), and machine learning (regression to estimate the proportion/votes for each party)
Code available upon request

MBTA Database

SQL

As a final project for a database class, my partner and I decided to represent the MBTA subway system as a relational model. Using MySQL, we first established our ER diagram and how we wanted to represent each entity within the system, to ultimately connect them together based on specific relationships. Using SQL standards for table creation and query writing, we successfully analyzed the MBTA in relation to gentrification and transporation efforts
Code available upon request

Job Recommendation Engine

Neo4j, Python

As a final project for a NoSQL database class, my group and I decided to create a job recommendation engine based in Neo4j. Using Python, we first programatically generated data for all our desired fields, to ultimately combine them in a master dataset. Upon importing this data into Neo4j, we made the appropriate nodes and edges. Our queries revolved around multiple points of analysis but they included questions regarding popularity of jobs, skills, and connections

RunningBuddy

Java (Android Studio), Firebase

As a final project for a mobile app (Android) class, my partner and I decided to create an app that would help runners in the Boston area find each other.we mocked up the design on the XML files provided in Android Studio. We used Firebase authentication and data management to register and store data about each user. Using Java standards for classes and package management, we successfully created a fully-functioning app
Code available upon request

And That's a Wrap

Since you made it to the end, welcome! :)
Here’s a little more about me and interests as well as some contact info

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© 2025 Sreya Katabathuni

Designed in Figma, built in React, and deployed with Netlify

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