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Python Engineer with less than a year in Machine Learning, Web Development & Fullstack projects.
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Assessing your cultural and operational fit
Highly motivated and results-oriented Python Developer with a strong foundation in Machine Learning, Web Development, and full-stack application development. Proven ability to build robust backend functionalities, develop AI models, and contribute to end-to-end project delivery. Eager to leverage technical and problem-solving skills in a dynamic engineering environment.
Vivekananda Global University
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
Rentlee
Python Developer Intern
May 1, 2026 – Present
Hybrid
Codec Technologies Pvt. Ltd.
Artificial Intelligence Intern
May 1, 2026 – Present
Remote
Steel Properties Predictive Analytics
January 1, 2025 – June 1, 2026
Built a full-stack machine learning platform to predict Yield Strength, Tensile Strength, and Elongation from steel alloy compositions. Implemented Multi-Output Random Forest models with real-time prediction, feature importance analysis, and model retraining. Developed an interactive dashboard for dataset management, visualization, and model monitoring. Generated PDF and CSV reports for prediction results and analytical insights.
View ProjectFace Recognition Attendance System
January 1, 2025 – June 1, 2026
Developed an automated attendance system using OpenCV and LBPH face recognition algorithms. Built a Tkinter GUI for student management, attendance tracking, and facial data training. Integrated MySQL database with CRUD operations, backup/restore functionality, and data validation. Generated attendance reports in CSV and PDF formats.
View ProjectCultural Fit Analysis
The candidate's academic projects show initiative and a practical application of learned skills. Their internship experiences, though short-term, indicate a willingness to engage in real-world development and AI applications. The diversity of projects (predictive analytics, face recognition) suggests a broad interest in applying technology, which can contribute positively to a dynamic team culture. However, the lack of extensive professional experience means cultural fit is primarily inferred from academic and internship activities.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, team collaboration, communication, adaptability, quick learning, and attention to detail, which are valuable for operational fit. Their project work indicates an ability to take a project from conception to deployment, including data management and reporting.