Portfolio

Viswa Sushanth
Karuturi

Statistics and Computer Science student at the University of Arizona. My work spans data analysis and engineering, machine learning, and quantitative research, with an emphasis on end-to-end systems that turn raw data into insight.


I am a rising senior at the University of Arizona pursuing a B.S. in Statistics & Data Science and a B.S. in Computer Science, with a minor in Information Science, Technology & Arts.

2 Degrees
1 Minors
'27 Graduation

I am drawn to problems at the intersection of statistics, machine learning, and large-scale data systems. My specific interests include quantitative research, data engineering pipelines, ML/AI engineering, applied probability, and financial modeling. I enjoy building end-to-end systems that go from raw data to actionable insight.


University of Arizona Aug 2023 – May 2027
B.S. Computer Science  ·  B.S. Statistics & Data Science  ·  Minors: Information Science, Technology & Arts
Algorithms Machine Learning Data Engineering Statistics Discrete Math

STAR-X Club – NASA Lunabotics Competition Nov 2025 – Present
Software & Autonomy Lead  ·  Tucson, Arizona
  • Lead rover software and autonomy development using ROS for navigation, control, and telemetry integration for the NASA Lunabotics competition.
  • Architect modular ROS-based software systems for rover autonomy and coordinate integration across mechanical and electrical subsystems to ensure reliable navigation, control, and telemetry performance.
ROS2 Autonomy Computer Vision ML / RL Embedded Software
VIP – Getting to Know U Jan 2026 – Present
Cloud & Data Engineering Team Member  ·  Tucson, Arizona
  • Develop a scalable degree-planning platform on AWS, designing data storage and retrieval solutions using Amazon S3 and DynamoDB to manage structured academic datasets.
  • Build and maintain cloud-based data workflows that support secure data ingestion, transformation, and analytics, enabling dashboard development and predictive modeling initiatives.
AWS DynamoDB Amazon S3 Data Engineering Predictive Modeling