personal photo of Subash Matu

Subash Matu

Tagline:MS in Data Science at Brown ‘25 | Intern @ Citizens | Looking for New Grad Positions

New York, NY, USA

About Me

Driven by a passion for data science and its transformative potential, I am Subash Matu, a Master's student in Data Science at Brown University. With a solid foundation in Computer Science Engineering from SRM Institute of Technology, my academic journey is defined by a relentless pursuit of excellence and a deep commitment to applying machine learning to solve real-world challenges.

My professional path has led me through diverse experiences, from developing predictive machine learning models at Rhode Island Hospital to leveraging AWS services for IT optimization at The Walt Disney Company, and streamlining operations through data analytics at Australian Applied Engineering Systems. These roles have honed my skills in Python, R, SQL, and various ML frameworks, such as PyTorch and Scikit-learn, enabling me to craft innovative solutions that drive efficiency and effectiveness.

Beyond the classroom and professional engagements, I immerse myself in research and projects that push the boundaries of what's possible with AI, particularly in healthcare. My work is driven by a vision to integrate AI seamlessly into everyday solutions, making technology more accessible and impactful.

As I continue to explore the vast landscape of machine learning and data science, I am eager to connect with professionals, collaborators, and mentors who share a passion for innovation and the power of data-driven decision-making. Let's discover how we can transform the future together.

Education

  • Master's degree

    from: 2023, until: 2025

    Field of study:Data ScienceSchool:Brown University

    Description

    Skills: Datasets · Machine Learning · Scientific Research · Statistics · Data Processing · Communication · Data Modeling · Microsoft Excel · TensorFlow · Data Science · NumPy · Prompt Engineering

  • Bachelor of Technology

    from: 2019, until: 2023

    Field of study:Computer ScienceSchool:SRM University

    Description

    Skills: Datasets · Machine Learning · Web Development · Communication · Microsoft Excel · Data Science · NumPy

Work Experiences

  • Teaching Assistant for CS1491 : "Fairness in Automated Decision Making"

    from: 2025, until: present

    Organization:Brown University

  • DSI Research Assistant, Prof. Andras Zsom's Lab

    from: 2025, until: present

    Organization:Brown University

    Description:

    I am currently leveraging data science techniques to study the wisdom of crowd effects in Polymarket data, with a focus on the 2024 USA election. My role involves building pipelines to extract, clean, and analyze data from the Polymarket API and Polygon Blockchain, applying statistical and machine learning methods to uncover patterns in individual bettor behavior and market trends. I also design data visualizations and contribute to research reports, blending predictive analytics, behavioral economics, and blockchain technology to generate actionable insights.

  • Graduate Student Intern

    from: 2024, until: 2025

    Organization:Lifespan

    Description:

    Developed a sophisticated ML model aimed at predicting missing neural signal data with precision and accuracy, leveraging advanced techniques in data analysis and predictive modeling.

  • Graduate Student Researcher, Asaad Lab

    from: 2024, until: 2025

    Organization:Brown University

    Description:

    I work as a Data Science Researcher on whether neural signals have inertia and if the SEEG data can be reconstructed using Machine Learning.

  • Head Teaching Assistant for Data1030: "Hands-on Data Science"

    from: 2024, until: 2024

    Organization:Brown University

    Description:

    Head Teaching Assistant (HTA) for Data1030: Data Science

  • ML and Computer Vision

    from: 2024, until: 2024

    Organization:CitizensLocation:United States

  • TA for Text Analysis with Python and the ChatGPT API

    from: 2024, until: 2024

    Organization:Brown UniversityLocation:Watson institute

    Description:

    Was a Teaching Assistant for a module on Text analysis and Sentiment Analysis with Python and ChatGPT API module for graduate students.

  • Data Engineering Intern - AWS Cloud Services

    from: 2022, until: 2022

    Organization:The Walt Disney Company

    Description:

    Gained practical experience in cloud service management, including monitoring, EC2/ECS, auto-scaling, and S3 storage, with proficiency in Service NOW and AWS Console to enhance operational efficiency.

  • Software Developer

    from: 2021, until: 2021

    Organization:Australian Applied Engineering Systems Pty Ltd

    Description:

    Led and built a Website Development team to create and deploy a full-stack website, integrating a data analytics module that plotted user interaction data and refined inventory management, significantly boosting efficiency

  • Web Developer

    from: 2020, until: 2021

    Organization:Best Roadways Limited

    Description:

    I spearheaded the design and development of a fully functional website, incorporating features like shipment tracking, dynamic fluid animations, and contemporary design principles. Additionally, I implemented a user-friendly CMS portal for seamless content management and collaborated closely with cross-functional teams to integrate diverse functionalities.

Projects

  • Promptly

    date: 2025

    Description:

    An AI-powered tool that learns your unique speaking and writing style, suggesting words seamlessly. It continuously adapts, not just to your evolving language but also to the way you communicate with different people, just like you naturally do.

    • Promptly
  • AutoPilotAI

    date: 2025

    Description:

    AutoPilot AI is a system that lets computers control themselves using PyAutoGUI and OmniParser under the hood. It automates tasks, navigates interfaces, and executes actions just like an AI-powered autopilot for your machine.

    • AutoPilotAI
  • CodePeek

    date: 2024

    Description:

    CodePeek is a VS Code extension that generates a "Context File" listing your workspace structure and selected file contents and captures terminal output into a "TerminalContext File." It’s designed for sharing your code/project context with LLMs (like DeepSeekR1, ChatGPT, etc) or team members, making debugging, code reviews, and AI integration seamless. No complex setup…just click and create!

    • icon

Certifications

  • CSS

    Issue date: Oct 2021,

    Issued by: hackerrank.com .

  • Python

    Issue date: Oct 2021,

    Issued by: hackerrank.com .

  • Problem Solving

    Issue date: Oct 2021,

    Issued by: hackerrank.com .

  • The Joy of Computing using Python

    Issue date: Nov 2021,

    Issued by: nptel.ac.in .

  • Data Analytics with Python

    Issue date: May 2022,

    Issued by: nptel.ac.in .