About
Hello! I’m Sanjana Garimella, a Data Science graduate student at the University of California, San Diego and a former Software Developer at IBM. My interests lie in machine learning, data infrastructure, and building scalable systems that power intelligent applications. I enjoy working with large datasets and developing data-driven solutions that combine strong engineering practices with modern machine learning techniques. At IBM, I worked on automation and vulnerability tracking systems across large-scale infrastructure environments, building tools using Python, REST APIs, and Jenkins to improve system reliability and operational efficiency. Currently, I am expanding my expertise in machine learning, statistical modeling, and data-driven systems through graduate coursework and hands-on projects. I am particularly interested in how robust data systems and ML pipelines can enable practical and impactful AI applications.
- Email: sanjanagarimella6@gmail.com
- Location: La Jolla, California
- Program: Masters in Data Science, UC San Diego
Career Overview
Education
Master of Science in Data Science
2025 - 2027 (In Progress)
University of California San Diego, La Jolla, USA
- Pursuing advanced coursework in machine learning, statistical modeling, data mining, and natural language processing.
- Gaining hands-on experience with data-driven experimentation, model development, and performance evaluation using Python-based frameworks.
- Engaging in academic projects focused on deriving insights from complex datasets and optimizing predictive models.
- Collaborating with peers on interdisciplinary data science applications involving real-world datasets and research challenges.
Bachelors in Computer Science & Engineering
2019 - 2023
KL University, Vijayawada, India
- Developed a strong foundation in computer science, with a focus on artificial intelligence and data science.
- Completed full-stack development projects using Django, Flask, and Spring Boot, with deployments on AWS, showcasing expertise in both development and cloud-based solutions.
- Participated in hackathons, refining problem-solving, collaboration, and time management skills while successfully delivering functional solutions.
- Engaged in coursework on machine learning, data science, algorithms, and database management.
- Strengthened passion for applying technology to real-world scenarios through hands-on learning and projects.
High School(11th-12th): Major in Maths, Physics & Chemistry
2017 - 2019
Fiitjee Junior College
- Followed a rigorous curriculum during higher secondary education, deepening my understanding of core scientific concepts.
- This experience ignited my passion for science and technology, laying a strong foundation for future studies in computer science and engineering.
Schooling
2015 - 2019
Dr.K.K.R Gowtham's School
- Focused on a diverse curriculum in Mathematics and Science during 9th and 10th grades.
- Advanced to Level 2 in the Ramanujan Olympiad, enhancing analytical skills.
- This experience sparked a passion for the sciences and laid a strong foundation for future studies.
Professional Experience
Research Assistant
Oct 2025 – Nov 2025
University of California San Diego
- Support large-scale neuroscience research workflows by maintaining Python-based data pipelines and distributed computing environments.
- Work with containerized applications and databases to improve reliability and scalability of research infrastructure.
- Collaborate with researchers to optimize data processing workflows and improve system performance for scientific computing tasks.
Software Developer
Jun 2023 – Jun 2025
IBM, Bangalore
- Automated security scanning workflows using Python, REST APIs, and Jenkins, improving vulnerability tracking across multiple infrastructure subsystems.
- Enhanced the MEND vulnerability tracking platform used across 18 global subsystems.
- Developed scripts to monitor system power states and improve defect detection during automated regression testing.
- Built internal automation tools that improved reliability and observability of infrastructure validation processes.
- Explored LLM-based approaches for automating multi-cloud provisioning workflows through internal innovation initiatives.
Software Developer Intern
Jan 2023 – Jun 2023
IBM, Bangalore
- Designed and deployed a Grafana dashboard to visualize security scan results across infrastructure systems.
- Integrated LDAP authentication and secure certificate handling for controlled dashboard access.
- Enabled engineering teams and management to monitor vulnerability trends through interactive visualizations.
Machine Learning Intern
Aug 2021 – Nov 2021
Indian Servers, Vijayawada
- Developed a deep learning model for face mask detection using TensorFlow, Keras, and OpenCV.
- Built a computer vision pipeline using convolutional neural networks to classify masked and unmasked faces.
- Explored practical applications of machine learning models in public health monitoring scenarios during the COVID-19 pandemic.
Skills
Python
Java
R
SQL
Grafana
Jupyter
VS Code
Github
SpringBoot
Numpy
Flask
Matplotlib
Django
TensorFlow
Jenkins
AWS
Pytorch
C++
Pandas
REST APIs
Projects
A selection of projects highlighting my experience in machine learning, data engineering, and distributed data systems. These projects demonstrate my ability to build scalable pipelines, analyze large datasets, and design practical AI-driven solutions using modern software and data infrastructure.
Blogs
Take a Trip - Field Study
Explore my blog on the field study conducted for the Travel, Tourism, and Hospitality website project, where we dive into user research, interviews, surveys, and the creation of customer journey maps, personas, and empathy maps to enhance user-centric design.
Role of Data Science in Healthcare
This blog explores how data science is revolutionizing healthcare by enabling early disease detection and advancements in medical image analysis. It highlights how data-driven insights are improving patient care and transforming medical practices.
Green Grow - Article
This blog provides an in-depth look at the Green Grow project's architecture, including the block diagram, e-poster, and screenshots of the deployed website, highlighting the technical aspects and deployment process.
Contact
I’m always open to discussing research collaborations, internships, and opportunities related to machine learning, data science, and software engineering. Feel free to reach out if you’d like to connect or collaborate.
Address
La Jolla, California
sanjanagarimella6@gmail.com