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Python Engineer with less than a year in Web Development & AI
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 Python Developer and Computer Science Engineering graduate (2025) with strong expertise in building scalable web applications, RESTful APIs, and data-driven solutions. Proficient in Python frameworks including Django and Flask, with hands-on experience in machine learning, automation scripting, and cloud deployments. Certified in AI, cloud computing, and cybersecurity. Passionate about writing clean, efficient code and delivering production-ready software.
K.L.N. College of Engineering
B.E. · Computer Science Engineering
August 1, 2021 – June 30, 2025
Prasunet Company
Python / Android Developer Intern
June 1, 2024 – July 1, 2024
India
Heart Disease Prediction System
June 1, 2026 – Present
Engineered a Flask REST API backend serving real-time ML model predictions with JSON responses. Trained and evaluated Logistic Regression and Random Forest classifiers achieving >85% accuracy on validation data. Implemented data preprocessing pipelines using Pandas and NumPy; handled missing values and feature scaling. Built a responsive HTML/CSS/Bootstrap frontend for data input; integrated front-end with backend via Fetch API.
RESTful Task Management API
June 1, 2026 – Present
Designed and built a fully-featured REST API using Django REST Framework with token-based authentication (JWT). Implemented CRUD endpoints for task management with filtering, pagination, and search functionality. Containerised the application using Docker for consistent development and deployment environments. Wrote unit tests using pytest achieving 90%+ test coverage for all API endpoints.
Web Scraping & Data Pipeline Tool
June 1, 2026 – Present
Built an automated web scraper using Requests and BeautifulSoup to collect and structure data from multiple sources. Designed a data cleaning pipeline with Pandas to normalise and validate scraped datasets. Stored processed data in SQLite and generated summary reports exported as CSV and Excel files.
Python for Data Science
IBM
June 1, 2026 – Present
SQL and Relational Databases 101
Cognitive Class
June 1, 2026 – Present
Google Cybersecurity Professional Certificate
Unknown
June 1, 2026 – Present
AWS Cloud Foundations
AWS Academy
June 1, 2026 – Present
Introduction to HTML, CSS & JavaScript
Simplilearn
June 1, 2026 – Present
Anthropic Claude AI – Prompt Engineering & Claude API
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests within Python development, including machine learning, web APIs, and data processing. The internship, while short, shows exposure to both Python backend and Android development, indicating adaptability. The certifications cover a wide range of topics from AI to cybersecurity and cloud, suggesting a proactive learning attitude. However, the experience level is very low (0 years, only a 1-month internship), and all projects are academic, which limits the assessment of real-world cultural fit and collaboration in a professional setting.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, adaptability, time management, team collaboration, communication, and willingness to learn as soft skills. These align well with typical operational requirements for a Python Engineer role, suggesting a good fit for collaborative and dynamic environments. However, these are self-reported and not validated by assessment data.