
Python Engineer with less than a year in Machine Learning & Full-stack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Software Engineer with strong foundation in Data Structures, Algorithms, and Software Development. Proficient in C++ and Python with hands-on experience in building machine learning and full-stack projects. Skilled in debugging, API development, and database management. Familiar with SDLC, testing methodologies, and Agile practices. Seeking an opportunity to contribute to innovative engineering solutions.
Chandigarh Group of Colleges
Bachelor of Technology · Computer Science
August 1, 2023 – June 30, 2027
S.A.D.N. Convent School
Class XII
June 1, 2022 – May 31, 2022
Sanskar Public School
Class X
June 1, 2019 – May 31, 2019
PGTECH
Python Developer Intern
May 1, 2025 – July 1, 2025
Mohali, Punjab, India
Smart Resume Analyzer
June 1, 2026 – Present
Designed and developed an intelligent resume analysis system using Python and NLP techniques to extract and rank candidate skills based on job descriptions. Implemented keyword matching and scoring algorithms to evaluate resumes against industry requirements, improving match accuracy by ~30%. Built an interactive web interface using Streamlit for real-time resume feedback and suggestions. Performed debugging, edge-case handling, and functional testing to ensure system reliability. Designed basic APIs/data pipelines for handling input and output processing.
View ProjectCar Price Prediction
June 1, 2026 – Present
Developed a machine learning model to predict car prices using historical vehicle data and feature engineering techniques. Performed data cleaning, preprocessing, and outlier handling to improve data quality and model performance. Implemented regression algorithms and evaluated model accuracy using performance metrics such as RMSE and R2 score. Visualized data insights using Matplotlib to support better decision-making and model interpretability. Conducted testing and validation to ensure model robustness and reliability.
View ProjectBattery Health Estimation (EV)
June 1, 2026 – Present
Developed a data-driven system to estimate battery health using machine learning techniques on real-world battery parameters. Performed feature extraction and preprocessing to identify key indicators affecting battery performance and degradation. Trained and validated predictive models to estimate battery life and efficiency under varying conditions. Improved model accuracy through parameter tuning and validation techniques. Implemented error handling and testing to ensure consistent and reliable predictions.
View ProjectAWS Academy Graduate - Generative AI Foundations - Training Badge
AWS Academy
June 1, 2026 – Present
Oracle DB Programming with PL/SQL
Oracle Academy
June 1, 2026 – Present
MongoDB Certification
CGCU
June 1, 2026 – Present
Web Development Internship
PGTECH
June 1, 2026 – Present
React JS Certification
CGCU
June 1, 2026 – Present
AWS Academy Graduate - Data Engineering - Training Badge
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including NLP, car price prediction, and battery health estimation, shows a broad interest in applying Python and ML to various domains. Their involvement in coding contests and hackathons indicates a proactive and collaborative learning attitude. The internship experience at PGTECH and certifications in AWS, Oracle, React, and MongoDB suggest a willingness to acquire new skills and adapt to different technologies, which aligns well with a dynamic engineering culture. However, the experience level is very junior, which might require significant mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, team collaboration, and analytical thinking through project descriptions and internship experience. Their participation in code reviews and application of SDLC practices suggest a good operational fit for structured development environments. However, without psychometric test results, a deeper assessment of work attitude and stress handling is not possible.