**Srivalli Harshitha Kantheti**
harshithakantheti@gmail.com | 623-336-9977 | linkedin.com/in/harshithakantheti

### **Education**
**Master of Science in Information Technology**
Arizona State University, Tempe, AZ | Jan 2023 - Dec 2024 | GPA: 4.0/4.0

**Bachelor of Technology in Computer Science**
Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India | Jun 2017 - May 2021 | GPA: 7.99/10.0

### **Technical Skills**
**Languages & Web Technologies:** Python, C++, Java, C, JavaScript, Angular, Bootstrap, HTML
**Tools & OS:** Linux, MacOS, Windows, Git
**Databases & Cloud:** MongoDB, Microsoft SQL Server, MySQL, AWS, Google Cloud

### **Professional Experience**
**Research Aide**
Arizona State University, USA | Sep 2023 - Present
- Orchestrated teaching for 300+ undergraduate students in Calculus and College Mathematics.
- Conducted weekly office hours, assisting 30+ students with personalized guidance.

**Software Engineer**
Tata Consultancy Services, India | Jul 2021 - Dec 2022
- Designed, coded, and tested D365 application modules, ensuring 99% accuracy in 100+ test scenarios.
- Led CRM on-premises upgrade, improving system performance by 20% and reducing processing time by 15%.
- Developed Power Automate flows and plugins, reducing manual intervention by 40%.

**Machine Learning Intern**
Wingfotech, India | Jun 2019 - Aug 2019
- Implemented ML projects including Breast Cancer Detection, Stock Market Clustering, and Music Recommendation.
- Processed 50,000+ YouTube comments daily for sentiment analysis.
- Applied ML algorithms to 15+ live projects, including Myers-Briggs Personality Prediction.

### **Project Experience**
**Blood Donation Management System** | Mar 2023 - May 2023
- Engineered a SQL-based system, reducing donor search time by 70% during emergencies.
- Designed a 7-stage schema using SQL, NORMA, and Object-Relational Modeling.

**Serverless Web Application** | Aug 2023 - Dec 2023
- Built using AWS Lambda, API Gateway, DynamoDB, and S3 with Python backend.
- Automated CI/CD pipelines and achieved 88% model accuracy.

**Interactive Financial Market Analysis Dashboard** | Aug 2023 - Dec 2023
- Developed with Python (Django), PostgreSQL, React.js, and Google Cloud.
- Integrated real-time APIs (Alpha Vantage, News API) and OAuth 2.0 for secure authentication.

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