🎓 Graduate Student (M.S. in Data Science) at the University of California, San Diego. 💻 Former Software Developer at IBM, with hands-on experience in machine learning, automation, and scalable systems.

I’m passionate about developing scalable, intelligent solutions that bridge data science and system engineering — from automating workflows to building ML-powered applications.

Research Assistant – University of California, San Diego

• Support large-scale neuroscience research by managing Python-based data workflows, system reliability, and MongoDB databases.
• Focus on workflow optimization, automation, and computational reproducibility in collaborative research environments.

Software Developer – IBM

• Automated security scans and enhanced the MEND vulnerability tracking system using Python, REST APIs, and Jenkins, impacting 100+ repositories across global teams.
• Managed power subsystem automation within IBM z Systems and contributed to data analysis and multi-cloud provisioning initiatives.

Software Developer Intern – IBM

• Built and deployed a Grafana dashboard integrating security scan data, improving visibility and decision-making for engineering teams.

• M.S. in Data Science, University of California, San Diego (2025–2027, In Progress)
• B.Tech in Computer Science, KL University — CGPA: 3.65/4.0

• Amazon ML Summer Intern
  Gained expertise in supervised learning and deep neural networks, exploring their transformative potential.
• Indian Servers ML Intern
  Developed Face Mask Detection system using OpenCV, Keras, and TensorFlow, applying machine learning to address real-world challenges during the COVID-19 pandemic.

• Description:
  Developed a travel and hospitality management website, enabling users to plan trips with curated destinations, hotel bookings, and travel agent connections.
• Tools & Technologies:
  Django, Python, HTML, CSS, MySQL

• Description:
  Built a platform connecting green entrepreneurs with stakeholders, promoting eco-friendly products.
• Tools & Technologies:
  Spring Boot, AWS, MySQL, Java

• Description:
  Deployed a static website on AWS EC2, utilizing PuTTY and VPC for secure configuration.
• Tools & Technologies:
  AWS EC2, Amazon VPC, PuTTY

• Description:
  Implemented ML models (KNN, SVM, Random Forest) to predict suitable crops with 95% accuracy.
• Tools & Technologies:
  Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn

• Description:
  Automated loan evaluation using supervised learning models, achieving 78% accuracy.
• Tools & Technologies:
  Python, Scikit-learn, Logistic Regression, Random Forest

• Description:
  Built a deep learning model to classify mask usage with high accuracy, using OpenCV and Keras.
• Tools & Technologies:
  Python, TensorFlow, Keras, OpenCV

Python	Java	R	SQL
Grafana	Jupyter	VS Code	GitHub
SpringBoot	Numpy/Pandas	Flask	Matplotlib
Django	TensorFlow	Jenkins	AWS

• 🏆 Star of the Month Award
  Enhanced the MEND vulnerability tracking system, streamlining onboarding for over 100 repositories.
• 🌟 Infrastructure All Hands Recognition
  Streamlined security onboarding processes across 18 global subsystems.
• 🎖️ People’s Choice Award
  Awarded for innovative multi-cloud provisioning MVP, reducing cloud costs by 40%.

• 📊 Role of Data Science in Healthcare:
  A discussion on the impact of data science in the healthcare sector.
• 🌍 Take a Trip Project Blog:
  Insights into the travel management website project.
• 🌱 Green Grow Blog:
  Details on connecting green entrepreneurs with stakeholders through a dedicated platform.

• ✉️ Email: [email protected]
• 💼 LinkedIn: Sanjana Garimella

💡 I am constantly learning and passionate about tackling complex challenges. Let's connect and collaborate on exciting projects that make a difference!