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Python Engineer with less than a year in Machine Learning & Django
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven individual with 0.3 years of hands-on experience in Python development, Machine Learning, and Django. Proficient in crafting robust web applications, developing predictive models, and building recommendation systems. Eager to apply technical skills and problem-solving abilities to contribute to innovative projects and drive impactful solutions in a dynamic team environment.
Datta Meghe College of Engineering, Airoli (Navi Mumbai)
BE · Electronics and Telecommunication Engineering
August 1, 2023 – June 30, 2026
Government Polytechnic Thane
Diploma · Information Technology
August 1, 2020 – June 30, 2023
Yashwant Vidyalaya, Ulhasnagar
X (State Board)
N/A – May 31, 2020
Pythonic Labs
Django Developer Intern
September 15, 2025 – October 10, 2025
India
Pythonic Labs
Machine Learning Developer Intern
August 7, 2025 – September 6, 2025
India
Pythonic Labs
Python Developer Intern
July 8, 2025 – August 7, 2025
India
Student Management System using Python
June 21, 2026 – Present
Designed and developed a Student Management System supporting CRUD operations. Tech Stack: Python, HTML, CSS, Bottle Framework, SQLite3. Features: Record creation, viewing, updating and deletion, Built with Python Bottle Framework, efficient and scalable management.
Movie Recommendation System using NLP
June 21, 2026 – Present
Built a machine learning-based movie recommendation system using Cosine Similarity. Tech Stack: Python, Scikit-learn, Pandas, Count Vectorizer. Features: Developed recommendation model leveraging NLP techniques, with input variables such as user ratings, genres, popularity, and similarity scores. Assessed model performance using recommendation metrics such as Precision, Recall, and RMSE to ensure accurate and relevant recommendations.
Lung Cancer Prediction using KNN Algorithm
June 21, 2026 – Present
Developed a machine learning model for lung cancer prediction using K-Nearest Neighbors (KNN) algorithm. Tech Stack: Python, Scikit-learn, Pandas, Html, CSS. Features: Predictive Model using KNN Algorithm, Input parameters such as Age, Gender, Smoking, Anxiety, Peer Pressure, Fatigue, Alcohol, etc. Implemented Confusion Matrix and Classification Report to evaluate model performance, analyzing accuracy and precision.
Cultural Fit Analysis
The candidate shows an interest in diverse areas within Python development, including web development and machine learning, which indicates adaptability. The academic projects are well-aligned with a Python Engineer role, demonstrating initiative. However, the limited professional experience and lack of collaborative project details make a deep assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning through multiple internships and academic projects. The descriptions are concise, suggesting a direct communication style. However, the lack of detailed descriptions for internship contributions makes it difficult to assess operational fit beyond basic task execution.