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Graduate Engineering Trainee with 1+ years in Data Analytics & DevOps Automation
Enthusiast IT student seeking an entry-level role as an Graduate Engineer Trainee. Possesses a foundational understanding of Python and SQL, with a keep interest in Machine Learning, Cloud, Devops And Automation. Fast learner dedicated to applying academic knowledge to real-world projects and growing technical skills within a mentorship-oriented team.
Datta Meghe College of Engineering, Mumbai University
B.E. · Information Technology
August 1, 2022 – May 1, 2026
Karmaveer Bhaurao Patil College
Higher Secondary Certificate · Science
June 1, 2020 – March 1, 2022
Imarticus Learning
Data Analytics Intern
June 1, 2025 – August 1, 2025
India
Cloud Native DevOps CI/CD Pipeline with Monitoring
June 1, 2026 – June 1, 2026
Developed and deployed a containerized Node.js application using Docker and Docker Compose on AWS EC2. Implemented a complete CI/CD pipeline using GitHub Actions for automated build and deployment workflows triggered through GitHub pushes. Configured secure remote deployment using SSH authentication and automated container management on the cloud server. Integrated Prometheus and Grafana for real-time monitoring and visualization of system and application performance metrics. Gained hands-on experience with cloud infrastructure, containerization, DevOps automation, Linux server management, and monitoring tools.
Automated Defaulter List Generation
January 1, 2025 – June 1, 2026
Developed an ML-based system to predict student defaulters using attendance data. The system supports both CSV-based and image-based attendance processing for automated attendance analysis and defaulter prediction across multiple semesters.
Car Price Prediction Model
January 1, 2024 – April 1, 2024
A full-stack web application for managing car sales and resale listings buyers can browse and contact sellers, sellers can list vehicles, manage their inventory, and track status.
100 Days of Python Bootcamp
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technologies (ML, DevOps, Cloud). The variety of projects (ML, full-stack, DevOps) and the data analytics internship suggest a broad interest in technology and a willingness to explore different domains, which aligns well with a dynamic engineering environment. The objective statement emphasizes a desire for mentorship, indicating a collaborative and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate's objective statement highlights an enthusiastic and fast-learning individual seeking a mentorship-oriented team, which suggests a good operational fit for a trainee role. Project descriptions indicate an ability to work on diverse technical challenges, from ML systems to DevOps pipelines. The data analytics internship shows an ability to derive insights and present findings, indicating good analytical and communication skills for a junior role.