I am currently pursuing a Master of Computer Science at North Carolina State University, expected to graduate in May 2025. I hold a Bachelor of Computer Engineering from MKSSS Cummins College of Engineering for Women, Pune, India. My academic focus spans Software Engineering, UI/UX, Database Management, Data Science, and Artificial Intelligence.
In terms of work experience, I had the opportunity to work as a Web Design Intern at SupplyPoint in Durham, NC. I contributed to improving the SharePoint intranet by revamping its design using HTML, CSS, and JavaScript, which enhanced navigation and mobile responsiveness. Additionally, I collaborated with the HR team to develop an HR ticketing system, which boosted employee engagement by 30%. My role also involved streamlining Jira project management processes, reducing task completion time by 20%.
I also worked as a Student Research Assistant at North Carolina State University, where I partnered with Dr. Ranga Raju to refine clustering and summarization techniques in NLP models. My work resulted in a 30% improvement in interpreting complex customer dialogues for Visma. I pioneered the automation of chat analysis, significantly reducing manual review time by 40% through the integration of NLP and statistical techniques.
In addition to my experience at North Carolina State University and SupplyPoint, I served as a Technology Analyst at Citibank in Pune, India. During my time there, I integrated Atlassian Jiraβs REST API with Java frameworks such as Spring and Maven, which led to a 15% reduction in deployment times. I also identified inefficiencies in the CI/CD pipeline by examining Jenkins logs and restructured Docker containers and Kubernetes clusters. This improved the reliability of financial market updates by 50% and mitigated peak load challenges. My work designing a financial data modeling user interface using Python, Plotly, and matplotlib helped boost the accuracy of financial models by 35%, earning me the Citi Gratitude Performer of the Year award.
I also had the opportunity to work as a Summer Analyst Intern at Citibank in Pune, India. During this time, I optimized the traffic microservice architecture using Spring Boot, Oracle SQL, and Kafka. My efforts resulted in a doubling of daily traffic and a 50% increase in user engagement. I also utilized JUnit to ensure system scalability and performance, resulting in faster and more efficient deployments.
Programming Languages & Databases:
- Languages: C, C++, Python, Java, HTML, CSS, JavaScript, Ruby, R, SQL
- Databases: MySQL, MongoDB, MariaDB, Oracle SQL
Application Development Tools:
- Front-End Development: React, Angular, HTML, CSS, JavaScript
- Back-End Development: Node.js, Spring Framework, Flask
- Mobile Development: Android Studio
- Wireframing & Prototyping: Balsamiq, Figma
- APIs & Frameworks: REST API, Flask, Spring Boot
DevOps Tools:
- Containerization & Orchestration: Docker, Kubernetes, OpenShift
- CI/CD Tools: Jenkins, Maven, Udeploy, BitBucket, Git
- Testing & Version Control: JUnit, Git
- Project Management & Collaboration: Jira, Confluence, Postman
Microsoft Tools:
- Office Suite: Excel, Docs, PowerPoint
- Automation & Collaboration: Microsoft SharePoint, Power Automate, Microsoft Forms
Machine Learning Frameworks:
- Data Processing & Analysis: Pandas, NumPy, Scikit-learn, Seaborn, Plotly, matplotlib, Power BI, Tableau
- Deep Learning Frameworks: TensorFlow, PyTorch, Keras, NLTK
Cloud Services:
- Cloud Platforms: AWS (Amazon Web Services)
- Certifications: GCP (Google Cloud Platform) Essentials, Google Developer Essentials
- Time Management: Successfully balancing co-op, part-time jobs, classes, and assignments while maintaining high performance.
- Collaboration: Worked effectively in teams during multiple internships and academic projects, fostering a cooperative environment.
- Communication: Strong written and verbal communication skills, demonstrated through work as a Research Assistant and in project collaborations.
- Leadership: Led multiple projects and held leadership roles such as Head of Public Relations for AI & Computer Vision Society.
- Problem-Solving: Tackled complex technical challenges in web design, machine learning, and full stack development across projects and work experiences.
- Adaptability: Thrived in fast-paced work environments and adapted quickly to new tools and methodologies, including Agile practices.