About Me

My name is Kavin Balamurugan, a Computer Science Major and General Business Minor entering my Junior year at the University of Maryland. I am currently a Data Analyst Intern @ SD Solutions, LLC and a Software Engineering Fellow @ HeadStarter AI. I am looking for Software Engineering, Data/Business Analyst, or Project Managment roles for Fall 2024, Spring 2025, and Summer 2025. Below are my skills, experiences, and education!

Skills

Experience

Education

  • Languages
    Python | Java | C/C++ | HTML/CSS | JavaScript | OCaml | Swift | SQL | Ruby | Rust
  • Development Tools
    Figma | XCode | Android Studio | VS Code | Eclipse | Emacs | Github | MongoDB | PostgreSQL
  • Frameworks
    Unix | React.js | Node.js | Express.js | JUnit | JavaFX
  • Soft Skills
    Cross Functional Collaboration | Effective Communication | Adaptability | Informative Presentations
  • Data Analyst Intern @ SD Solutions
    May 2024 – Current
    I am currently automating lead generation for government contract opportunities using Python, PostgreSQL, and SAM.gov API calls, saving 60+ man hours monthly. Additionally, I am triaging and analyzing leads to provide data-driven strategic recommendations to leadership and supporting bid writing to maximize federal wins through the Shipley Process.
  • Arctic Sea Ice-Albedo Feedback Research: Undergraduate Researcher
    at the Climate Computing Research Lab (FIRE Program)
    Aug 2023 – Dec 2023
    I utilized WRF simulations to analyze how temperature and cloud cover affect Arctic sea ice-albedo feedback. I co-authored and presented a research paper at an undergraduate symposium to over 100 peers and professors.
  • IT Intern @ Zillion Technologies
    Jun 2022 – Aug 2022
    I designed and implemented a wireframe for a mobile chat application using Figma, facilitated meetings with stakeholders to address business pain points, and aided coding efforts in XCode and Android Studio through Java, effectively managing the development lifecycle.
    • Check out my Resumes and LinkedIn for more info and experiences!
  • Poolesville High School
    2018-2022
    Student in the Global Ecology Magnet Program
  • University of Maryland
    2022-Current
    Computer Science Major, General Business Minor, FIRE program alumni
  • Relevant Coursework
    Object-Oriented Programming, Functional Programming, Web Application Development, Data Structures, Computer Sci Algorithms, Linear Algebra, Discrete Math, Calculus, Mobile App Development

My Best Skills

Programming

Most Proficient with Java and Python

Java: Relative coursework + Experience with numerous projects that utilize multiple data structures (HashMap, HashSet, ArrayList, TreeMap)

Python: Leveraged Python in numerous projects to pull data from APIs and store it in databases. Currently working on Python projects.

Full Stack Dev

Specialize in building web apps by integrating both front-end and back-end tech.

Creating visually appealing and user-friendly interfaces using HTML, CSS, and React.

Developing robust server-side logic with Node.js and Express.js.

Managing databases with MongoDB and PostgreSQL.

Data Visualization

I have experience creating dynamic dashboards and analyzing large datasets to provide actionable business recommendations.

I pull data using Python and APIs to organize large datasets effectively.

For visualizations, I use tools like Microsoft Excel and Tableau to create dynamic and interactive dashboards.

My Portfolio

Programming Language Projects

Full Stack/ Web Development Projects

Analyst Projects

QueueManager

  • Developed a C library for priority queues management systems using a linked list data structure in C
  • Employed advanced memory management techniques such as dynamic memory allocation to ensure efficient organization and management of priority queues within the linked list structure

    • PurchaseOrderManager

  • Designed and implemented a Java-based system to concurrently process purchase orders, utilizing multi-threading for enhanced performance
  • Implemented file processing functionalities to generate order summaries with client IDs and sorted lists of purchased items
  • Employed efficient algorithms and data structures, such as HashMaps and TreeMaps

    • Sam.gov API

  • Developed a Python script to filter and collect government contract opportunities using API calls to SAM.gov, increasing efficiency and saving 60+ man hours monthly
  • Utilized PostgreSQL for storing and managing fetched opportunities data, creating a table to ensure structured data storage
  • Designed the script to dynamically construct API request URLs, ensuring flexible and accurate data retrieval

    • Aim Trainer

    Currently under development in Python

    SportStat

  • Developed a responsive web application enabling quarterbacks to track their game stats
  • Used MongoDB for storage and retrieval of player stats, supporting leaderboards with real-time updates
  • Integrated American Football API to display historical NFL season standings, enriching the user experience
  • Leveraged Express.js and Node.js to build a RESTful API, facilitating seamless communication between the front end and the database

    • Shoe Store

  • Developed a web application simulating an online shoe store using a dataset of over 1000+ shoes, including attributes such as price, image, reviews, color, and category
  • Designed using HTML and CSS to ensure a visually appealing and user-friendly layout.
  • Leveraged React hooks, specifically useState, along with array functions like filter and map to manage state, efficiently process the dataset, and dynamically display shoes that match selected filters.

    • Shri Yoga Website Assistant Developer

    Worked with co-developers to create a website for the non-profit organization, Shri Yoga. After completion, presented this website to over 400+ members explaining everything the site had to offer.

    London Bike Rides

  • Employed Python and the Kaggle API to extract and organize 17,000+ data entries into Microsoft Excel.
  • Developed a dynamic dashboard in Tableau incorporating 5+ visualizations to represent the data effectively
  • Implemented slicers and an editable date timeline for real-time updates and data filtering
  • Analyzed the data to identify trends, such as the most popular weather conditions, times, and seasons for biking over 5+ years

    • Coffee Sales Data

  • Acquired and organized over 2,000+ coffee sales data entries, ensuring accurate and clean data for analysis
  • Analyzed sales data to identify trends, such as the most popular coffee roasts and sizes at different times of the year in order to provide actionable business recommendations to optimize inventory and marketing strategies
  • Created a dynamic dashboard in Microsoft Excel, incorporating 3+ visualizations such as line and bar graphs

    • Contact Me

    bkavinr@gmail.com

    240-678-9948

    My Resumes!

    General Resume Full Stack Resume Analyst Resume

    Copyright @ KAVIN. This website was created by Kavin Balamurugan .