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Python Engineer with 1+ years in Python & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven MCA graduate with proven Python expertise and a strong learning mindset - engineered production-ready ML pipelines on 515K+ records achieving 99.59% accuracy. Proficient in Python OOP fundamentals, Pandas, NumPy, data handling, SQL/NoSQL, REST API integration, and Git. Solved 150+ LeetCode problems demonstrating exceptional problem-solving skills. Eager to build scalable, data-driven commerce applications and grow rapidly as a Python developer.
Andhra University
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
Andhra University
B.Sc. · Computer Science, Electronics, Mathematics
August 1, 2019 – June 30, 2022
GrowthLink
Machine Learning Intern
February 1, 2025 – March 1, 2025
India
Credit Card Fraud Detection System
January 1, 2024 – June 1, 2024
Built Python fraud classifier on 515K+ records achieving 99.59% accuracy using OOP-based preprocessing pipelines, engineered statistical features, and SMOTE class balancing - production-ready for API integration. Reduced false negatives by 23% by identifying optimal classification threshold while maintaining 99%+ precision - strong data handling and problem-solving applied to real-world commerce risk. Delivered reusable prediction pipeline with automated preprocessing for real-time inference; version-controlled with Git and open-sourced on GitHub with full documentation.
View ProjectForest Fire Detection (Deep Learning)
January 1, 2024 – June 1, 2024
Engineered CNN image classification model in Python on 2,000+ aerial images achieving 96% validation accuracy using ResNet50 transfer learning and domain-specific data augmentation. Reduced model overfitting from 22% to under 3% (86% reduction) via dropout regularisation - demonstrating Python ML engineering and problem-solving skills at scale. Accelerated training convergence by 30% through systematic hyperparameter tuning; project open-sourced on GitHub with reproducible notebooks & saved model artefacts.
View ProjectStudent Management REST API
January 1, 2024 – June 1, 2024
Architected RESTful CRUD API with MySQL backend using OOP and MVC architecture - demonstrating SQL data management and API integration skills directly applicable to Python backend development. Tested all endpoints via Postman; managed full version history using Git - professional collaborative development workflow.
View ProjectGenerative Al Certification
Microsoft & LinkedIn Learning
January 1, 2025 – Present
Data Science 101
IBM
January 1, 2023 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards continuous learning through certifications and self-directed projects. The diversity of projects (fraud detection, image classification, REST API) indicates a broad interest and adaptability. The focus on Python and ML aligns well with a 'Python Engineer' role, especially one with a data science or ML engineering bent. The open-source contributions suggest a willingness to share and collaborate, which is positive for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a results-driven approach, continuous learning mindset, and problem-solving capabilities. The emphasis on documentation and open-sourcing projects suggests a collaborative and transparent operational fit. The internship experience, though short, indicates an ability to work in a professional setting.