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Entry-level Python Engineer with data analysis & machine learning skills
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering student with strong skills in Python, C, and C++, and growing expertise in data analysis and machine learning. Experienced in working with SQL, data visualization, and building efficient, scalable applications. Passionate about solving real-world problems using data and continuously improving technical skills.
Oriental College Of Technology
B-Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Modern Children Hr. Sec. School
Senior Secondary (12th Grade)
June 1, 2022 – May 31, 2022
Modern Children Hr. Sec. School
Secondary (10th Grade)
June 1, 2020 – May 31, 2020
Anime-Dataset-Analysis-with-Pandas
June 21, 2026 – Present
Analyzed anime dataset using Pandas and NumPy, performing data cleaning and transformation. Extracted insights on ratings, episodes, and watch-time trends using data analysis techniques. Demonstrated ability to handle and interpret real-world datasets effectively.
View ProjectGaze Track Virtual Mouse
June 21, 2026 – Present
Developed a computer vision-based virtual mouse using Python, OpenCV, MediaPipe, and PyAutoGUI. Implemented real-time eye tracking to control cursor movement and blink detection for clicking. Enabled hands-free, intuitive human-computer interaction through webcam-based input.
Lung Cancer Prediction
June 21, 2026 – Present
Built a machine learning web application using Logistic Regression and Streamlit. Predicted lung cancer risk based on user inputs like age, smoking habits, and health data. Provided real-time predictions through an interactive and user-friendly interface.
View ProjectIntroduction to Cyber Security
Cisco Networking Academy
June 1, 2026 – Present
Python Fundamentals
NASSCOM
June 1, 2026 – Present
TCS ION Career Edge - IT Primer
TCS ION
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of Python, including data analysis, machine learning, and computer vision. This breadth of interest could contribute positively to a dynamic team environment. However, without professional experience, it's challenging to assess cultural fit beyond technical curiosity and project diversity. The focus on academic projects suggests a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate is a student with no professional experience, making it difficult to assess soft skills or operational fit. Project descriptions suggest an ability to work on defined tasks and apply technical knowledge. However, there is no evidence of collaboration, problem-solving in a team, or handling complex operational challenges.