🎯 Resilient and dynamic Computer Science student with a strong foundation in data science, software engineering, and UI/UX development. I bring a robust skill set and hands-on experience in managing and analyzing complex datasets, developing automation systems, and collaborating in cross-functional teams. Eager to apply analytical thinking and quick learning abilities to drive innovative projects and contribute to impactful solutions.
Oct 2023 - Present
- Led a team of 5 interns to deliver an AI B2B SaaS platform, improving sales rep efficiency by 23%.
- Designed and implemented secure server-side features using Python & Django; integrated 20+ APIs from ServiceNow, HubSpot, Zoom, and Salesforce.
- Optimized CI/CD pipelines, managing Azure infrastructure & product launch with Docker & Kubernetes.
- Collaborated cross-functionally with Agile practices, enhancing project delivery speed and quality.
Sep 2024 - Present
- Mentored 25 students weekly on programming fundamentals in R, providing personalized support.
- Created an inclusive learning environment, improving overall student performance and engagement.
Jun 2024 - Aug 2024
- Automated lead-to-opportunity workflows in Salesforce, increasing operational efficiency by 62% through the use of Python and Excel-based automation.
- Analyzed and validated extensive Oracle and Salesforce datasets, ensuring data integrity and accuracy.
- Spearheaded research initiatives, collaborating with 10+ vendors to deliver consulting insights; maintained comprehensive project documentation and SOPs.
Jun 2024 - Aug 2024
- Developed Selenium-based web scraping systems, automating data extraction across 20+ sources, processing over 10,000 data points daily.
- Built automation workflows in Python for diverse industries, including real estate and product reviews, enhancing data accessibility and user experience.
Sep 2023 - Dec 2023
- Dedicated 15+ hours weekly to DevOps research, gaining experience in technical writing, internal communication, and automation development.
- Python, Java, C, C++, C#, AI, Machine Learning, RESTful APIs, DevOps, CI/CD, Containerization, Docker, Kubernetes, Spring, Linux, AWS, Azure, GitHub, Shell Scripting
- R, SQL, Business Analytics, Data Models, ETL Design, Data Architecture, Distributed Storage, Spark, MongoDB, Pandas, Tableau, Power BI, Postgres, Excel, Relational Databases
- UI/UX, React, Node.js, JavaScript, HTML, Flask, Django, Figma
- Selenium, Postman, Test Automation, Confluence, Web Services, GitHub
- Collaboration, Communication, Problem-Solving, Adaptability, Customer Service
University of Washington
Degree: Computer Science, Data Science, & Informatics
Expected Graduation: June 2026
- Relevant Coursework: Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Database Systems, Distributed Systems, Algorithms, Data Structures, Parallel Computing, Object-Oriented Programming, Cybersecurity, Network Security, User Experience & Design, Software Engineering
- National Merit Scholar - Top 1,000 students nationwide
- University of Washington Purple & Gold Scholar - Highest university level
- Robert Half International Student Scholar - Sole award recipient
- Oracle: MySQL Database Service Explorer
- Salesforce: Opportunity Management Training
- GitHub: All In for Students Open Source Contributor
- Dubstech: Data Visualization in Tableau & Power BI
- Microsoft 365: Master of Excel
- Innovate: I’m eager to leverage my expertise in AI, automation, and data science to develop cutting-edge solutions that solve real-world problems.
- Grow: I aim to stay at the forefront of technology, continuously learning new methodologies and tools.
- Contribute: Excited to collaborate with teams to build impactful software and data-driven solutions that drive business success.
- Email: [email protected]
- LinkedIn: Connect with me
- Project Portfolio: Explore my work