Data Science with 3+ years in Machine Learning & DevOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer science student with practical experience in Java and Python through academic projects. Interested in exploring machine learning and software development, with a focus on building useful, real-world applications while continuously improving my skills.
Institute of Technical Education and Research
B.Tech in CSE · Computer Science Engineering
November 1, 2022 – Present
Jamshedpur Public School
Senior Secondary (CBSE)
June 1, 2019 – May 31, 2021
Jamshedpur Public School
Secondary (CBSE)
June 1, 2017 – May 31, 2019
AI-Powered DevOps Assistant
January 1, 2026 – Present
Engineered a full-stack AI-powered CI/CD monitoring platform leveraging React, FastAPI, GitHub APIs, and Ollama to automate workflow failure diagnosis. LLM-based root-cause analysis for GitHub Actions logs, reducing debugging time by 60–70% through automated troubleshooting recommendations. Deployed containerized services using Docker and Docker Compose, integrating workflow monitoring, log analysis, and AI-assisted remediation into a unified platform.
View ProjectProductivity Prediction Project
January 1, 2026 – Present
Developed a productivity prediction model using Linear Regression, Decision Tree, and Random Forest to analyze employee work patterns and predict performance outcomes. Engineered and evaluated multiple features, achieving 84% prediction accuracy with Random Forest and improving prediction performance over Linear Regression by 14%.
View ProjectML Deep Learning Image Detection and Captioning Model
January 1, 2026 – Present
Developed an end-to-end multimodal pipeline combining YOLOv5, NetworkX, GCN, and GPT-2 for object detection, relationship modeling, and image caption generation. Achieved 92% mAP@0.5 and a BLEU score of 0.78, demonstrating effective understanding and caption quality.
View ProjectDocker, Kubernetes, and DevOps
Udemy
June 1, 2026 – Present
Oracle Cloud Infrastructure 2025 Certified Developer Professional
Oracle
June 1, 2026 – January 1, 2025
Cultural Fit Analysis
The candidate's project diversity, including deep learning, AI-powered DevOps, and traditional ML, indicates a broad interest in applying data science across different domains. This aligns well with a dynamic environment that values exploration and cross-functional skills. The academic projects demonstrate initiative and a proactive approach to learning and applying new technologies. However, the lack of professional experience means cultural fit in a corporate setting is yet to be fully validated.
Soft Skills & Operational Fit
The candidate lists 'Teamwork', 'Collaboration', 'Communication', 'Incorporating Feedback', and 'Quick Learner' as soft skills. While these are positive attributes, there is no direct evidence from the provided data (e.g., project descriptions or test results) to objectively assess their operational fit or the practical application of these soft skills in a team or work environment. The academic nature of projects suggests a learning-oriented individual.