Shireesha Hanmantharaopet
Chicago,IL
Summary
Motivated and detail-oriented Master's student in Computer Science with strong analytical, problem-solving, and full-stack development skills. Eager to leverage my technical expertise in IoT, cloud platforms, and data-driven solutions to contribute effectively as an IoT Intern.
Overview
3
3
years of professional experience
Work History
GLAS Coordinator
TeamLease Digital
Hyderabad, Telangana
09.2021 - 02.2023
- Collaborated with teams to enhance data-driven decision-making for improved operational efficiency
- Coordinated training programs and managed Salesforce certifications and ticketing processes
- Increased client satisfaction by 30% through process optimization and conflict resolution
Coding Instructor
WhiteHat Jr
08.2020 - 03.2023
- Developed engaging coding curricula focusing on HTML, JavaScript, and XML
- Improved student coding proficiency by 40%, tailoring lessons to diverse learning needs
Education
Master of Science - Computer Science
DePaul University, College of Digital Media
03.2025
Bachelor of Technology - Computer Science and Engineering
Malla Reddy College of Engineering for Women
03.2020
Skills
- Java
- Python
- JavaScript
- Spring Boot
- ReactJS
- Docker
- GitHub Actions
- TensorFlow
- MySQL
- Oracle
- Redis
- AWS
- Azure
- Scikit-learn
- Tableau
- Power BI
- Problem Solving
- Collaboration
- Communication
- Team Management
- UI updates
- Mobile-first design
Websites
Projects
Splitwise Application (Full-Stack), Developed a full-stack expense management application with a responsive React frontend and Spring Boot backend. Integrated Apple Pay for secure payment processing and utilized OCR to automate receipt scanning and bill-splitting with tax calculations. IoT-enabled Fitness Web Application (Full-Stack), Designed APIs using Spring Boot and built a ReactJS-based interface for personalized meal planning and workout tracking. Utilized Redis for scalable NoSQL storage and Oracle for relational data, with Docker for containerization and CI/CD pipelines. Fraud Detection Model (Data Analysis), Developed a predictive model using Python and machine learning to detect financial fraud. Optimized recall and precision using data preprocessing and advanced algorithms. Sentiment Analysis of Text Data (Data Analytics), Created an NLP-based sentiment classification system achieving 92% accuracy. Employed NLTK and TextBlob libraries for text processing and sentiment scoring.
Additional Qualifications
- Familiarity with object-oriented programming, design patterns, and operating system concepts.
- Experience developing scalable IoT solutions and integrating modern cloud platforms.
- Strong foundational understanding of data structures and algorithm development.
Timeline
GLAS Coordinator
TeamLease Digital
09.2021 - 02.2023
Coding Instructor
WhiteHat Jr
08.2020 - 03.2023
Master of Science - Computer Science
DePaul University, College of Digital Media
Bachelor of Technology - Computer Science and Engineering
Malla Reddy College of Engineering for Women
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