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Highly motivated Computer Science and Engineering student specializing in Data Analytics with strong skills in Python, Java, SQL, Power BI, and Machine Learning. Experienced in developing innovative projects including Credit Card Fraud Detection, Smart Career Advisor using Machine Learning, and Secure Image Encryption systems. Possess hands-on internship experience, strong analytical abilities, and a passion for solving real-world problems through technology. Eager to contribute technical expertise, teamwork, and problem-solving skills in a challenging engineering role.
Alliance University. Bangalore
Bachelor of Technology (B.Tech) · Computer Science and Engineering (Data Analytics)
September 4, 2022 – May 30, 2026
Credit Card Fraud Detection
September 1, 2025 – Present
Developed a Machine Learning-based Credit Card Fraud Detection system to identify fraudulent financial transactions with high accuracy. Performed data preprocessing, feature scaling, handling of missing values, and imbalance treatment using techniques such as SMOTE. Implemented and compared multiple machine learning algorithms including Logistic Regression, Decision Tree, Random Forest, SVM, and XGBoost to improve fraud prediction performance. Evaluated models using precision, recall, F1-score, ROC-AUC, and confusion matrix analysis. The project focused on minimizing false positives while ensuring efficient real-time fraud detection for secure financial transactions.
View ProjectImage Encryption for Secure Image Transfer
January 4, 2024 – November 29, 2024
Developed a secure image encryption system for protecting confidential image data during transmission over insecure networks. Implemented image compression, encryption, and decryption functionalities using Python and cryptographic techniques including Fernet, AES, and RSA algorithms. Integrated secure image transfer through Email (SMTP) and WhatsApp using Twilio API. Worked on image processing, key generation, secure communication, and performance optimization to ensure data confidentiality and efficient transmission. Collaborated in system design, testing, and implementation of the project modules.
View ProjectOracle Analytics Cloud 2025 Certified Professional
Oracle University
June 2, 2025 – December 30, 2027
Solutions Architecture Job Simulation
Forage
April 30, 2025 – Present
Data Analytics Internship
Intrainz
August 1, 2024 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for an AI/ML Software Engineer role, primarily due to their focused academic specialization in Data Analytics, highly relevant academic projects, and proactive pursuit of certifications in AI/ML and big data technologies. This demonstrates a clear passion for the field, a commitment to continuous learning, and an ability to apply theoretical knowledge, which are valuable traits in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's participation in a 'Placement Training Bootcamp' suggests an awareness and effort towards developing aptitude, coding, and soft skills. However, without direct evidence from completed assessments or detailed project descriptions, a comprehensive evaluation of soft skills, problem-solving approaches, and collaboration capabilities is not possible. The psychometric test score is 0, providing no data.