Siddardha Kavuri Email & Phone Number

Arizona, United States

Los Angeles, California, United States

• Developed predictive models using advanced machine learning techniques to analyze genetic variations and assess associated health risks
• Contributed to Genome-wide association studies (GWAS) by implementing dimensionality reduction, feature engineering, ensemble methods, and deep learning sequence models to capture SNP associations
• Collaborated closely with a senior researcher, Dr. Ryan Urbanowicz, to design and validate models, ensuring robustness and accuracy in genetic risk predictions
• Presented research at Cedars-Sinai’s National AI Campus gathering

Los Angeles County, California, United States

• Deployed, and managed inventory, ensuring proper software setup for campus devices in line with university requirements using Jamf Pro and ManageEngine Endpoint Central
• Aided in campus identity and access management, serving as a OneLogin and Duo Security Administrator
• Conducted Operating System security assessments and hardening in line with campus security policies
• Resolved tier two support tickets through ServiceNow
• Provided expert assistance to 10 or more students and staff daily, while mentoring new team members

Carson, California, United States

• Assisted with research on generational investment strategies, specifically differentiating millennials and Gen Z
• Utilized Python and SQL for efficient data manipulation and analysis
• Visualized key data insights from various data sources and APIs from trading platforms such as Robinhood
• Presented insights and brainstormed potential research directions during weekly team meetings, collaborating with interdisciplinary team members

Hyderabad, Telangana, India

• Designed and developed highly scalable web applications supporting various insurance product lines, utilizing Java, Spring Boot, JPA, and databases, enhancing system scalability.
• Implemented core functionalities for policy quoting, underwriting, and claims processing using Java and Spring MVC, achieving a reduction in processing time.
• Integrated external data sources and legacy systems through RESTful APIs with Spring MVC and Microservices, improving operational efficiency
• Utilized Docker for containerization, efficiently packaging and deploying applications across environments, reducing deployment time
• Managed relational databases, ensuring data integrity and optimizing queries for better performance across policy-related operations.