
π©βπ» CSE @ SaIT | AI, Web Dev & Data Science Enthusiast | Building Projects | Open Source Contributor | Learning Cloud | Open to Collaborations .β¨
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Visvesvaraya Technological University (VTU)
Data Scientist
June 19, 2026 β Present
url-shortener-service
May 29, 2026 β Present
URL shortening service built using Spring Boot and Redis with REST APIs and scalable backend architecture.
View Projectecommerce-platform
May 29, 2026 β Present
Spring Boot microservices-based e-commerce backend platform featuring API Gateway, PostgreSQL, Docker, Kafka, and service discovery.
View Projecttakeitsmart-loan-default-prediction-system
April 12, 2026 β Present
ML-based loan default prediction system with risk analysis and decision recommendations.
View Projecttakeitsmart-customer-retention-system
April 11, 2026 β Present
A Machine Learning-based Smart Customer Retention System that predicts customer churn, analyzes key factors influencing churn, and provides actionable retention strategies. Built using Python, Pandas, Scikit-learn, and data visualization techniques.
View Projectdeepfake-detector
December 20, 2025 β December 20, 2025
deepfake-detector β GitHub repository
View ProjectInfosys-Project
November 27, 2025 β Present
AI-Internship ( Developing NER Models for Financial Data Extraction )
View Projectdeepfake-detector-resnext-lite
September 15, 2025 β Present
Lightweight and efficient deepfake detection engine built with ResNeXt-lite for spatial feature extraction + temporal analysis. Designed for high-speed inference and real-world deployment.
View Projecthacktoberfest-2025
August 4, 2025 β November 14, 2025
Beginner-friendly open source repository for Hacktoberfest 2025
View Projectnamma-jobs-theme-
July 18, 2025 β July 18, 2025
Developed a fully functional custom WordPress theme to list and manage job openings using PHP, MySQL, and WP Query.
View Projectai-last-mile-delivery-optimizer
July 14, 2025 β Present
AI-Powered Last-Mile Delivery Optimizer is a real-world, plug-and-play dashboard built for Walmart's internal delivery team.
View ProjectCultural Fit Analysis
The candidate's projects show a mix of data science, web development (Java, PHP, JavaScript), and general programming. While there's a clear focus on AI/ML, the breadth of technologies suggests adaptability but also a potential lack of deep specialization in core data science tools beyond Python libraries. The single listed experience as 'Data Scientist' at a university aligns with the target role, but the duration and specific responsibilities are not detailed.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.