Lasya Mattaparthy
Data Science and Analytics Graduate Student
Phone:
404 717 6269
Email:
Hello! I'm Lasya
Graduate student pursuing a Master’s in Data Science and Analytics with a strong foundation in Computer Science (B.Tech in CSE). Skilled in data analysis,
machine learning, statistical modeling, and full-stack development with hands-on experience in academic projects and research. Adept at leveraging
programming, problem-solving, and analytical skills to extract insights from data and develop practical solutions. Seeking internship or job opportunities to
apply technical expertise, contribute to impactful projects, and gain industry experience in data-driven decision-making.
EXPERIENCE
2026-Present
Research Assistant
Kennesaw State University
Working as a Graduate Research Assistant under Dr. Amir Karami, analyzing IT ticket survey data using Python to identify trends, patterns, and actionable insights.
2023-2024
Max Power Controls
Junior Analyst Intern
Analyzed business processes to identify inefficiencies, evaluated gaps, prepared reports and dashboards, enabled data-driven decisions using Excel and Power BI, and collaborated with cross-functional teams demonstrating strong analytical, adaptability, and teamwork skills.
2024-2025
Mahatma Gandhi Institute of Technology
Teaching Assistant
Assisted professors teaching core courses, supervised labs, mentored 60+ students in debugging and logic building, provided tutoring and exam preparation, and evaluated assignments while maintaining student performance records.
EDUCATION
2025-Present
Master of Science in Data Science and Analytics
2021-2025
Kennesaw State University
Mahatma Gandhi Institute of Technology
Bachelor of Science in Computer Science
2021
The Telangana State Board of Intermediate Education
Intermediate
ACADEMIC PROJECTS
2025
TIME-AWARE AND COST-SENSITIVE CREDIT CARD FRAUD DETECTION SYSTEM
Built a time-aware credit card fraud detection model using Random Forest and XGBoost, optimizing cost-sensitive thresholds and calibrated probabilities to reduce financial losses in highly imbalanced datasets.
2024-2025
BLOCKCHAIN-BASED DIGITAL CERTIFICATE VERIFICATION SYSTEM
Developed a blockchain-based certificate verification system using SHA-256 and smart contracts on Ethereum, integrating Flask and Web3.js for secure verification, with proposed enhancements including Layer 2 scaling and AI-based fraud detection.
2024
MUSIC GENRE CLASSIFICATION
Built a Music Genre Classifier using the GTZAN dataset (1000 audio tracks, 30s each at 22050 Hz) leveraging Convolutional
Neural Networks (CNNs), and developed an interactive Gradio-based web interface for audio upload, real-time genre prediction,
and probability visualization.
PUBLICATIONS
Online Document Verification using Blockchain Technology
Developed a blockchain-based certificate verification system using SHA-256 and smart contracts on Ethereum, integrating Flask and Web3.js for secure verification, with proposed enhancements including Layer 2 scaling and AI-based fraud detection.
TECHNICAL SKILLS
Programming Languages:
Python, Java, C, C++, JavaScript
Web Development:
HTML, CSS, Node.js, Express.js
Database Systems:
MySQL, MongoDB