I'm Sumedha Vadlamani, a data science graduate with hands-on experience in machine learning, data analytics, and building end-to-end AI solutions. I'm passionate about using data to solve real-world problems and create meaningful impact—whether it's automating workflows, improving product experiences, or supporting research. I enjoy working in fast-paced environments and collaborating across teams. My strengths lie in Python, SQL, statistical modeling, and building clean, scalable pipelines. I’m detail-oriented, quick to learn, and always curious to explore new tools and technologies.
Experience
Causify.AI Inc
Feb 2025 – Mar 2025
Remote
AI Intern
During my internship at Causify AI, I worked on optimizing and extending the functionality of the google drive api, a Python-based interface for managing Google Drive operations such as file creation, movement, and structured data storage. I refactored key components of the API, improving type safety, error handling, and performance efficiency, ensuring seamless integration with Google Sheets. Additionally, I automated ETL pipelines for extracting, validating, and loading company data into Google Sheets, streamlining workflows for targeted outreach. My work also included enhancing the Linter system to validate Markdown links, reducing documentation errors and improving compliance with internal coding standards. Through close collaboration with cross-functional teams, I contributed to backend optimizations that improved system reliability, automation, and data accessibility. This experience strengthened my expertise in Python, API development, automation, and data engineering while providing hands-on exposure to cloud-based data workflows.
