Vansh Deep

About

B.Tech Computer Science and Engineering student with hands-on experience building practical machine learning applications using Python, Scikit-learn, Flask, and Streamlit. Interested in AI and machine learning, with a focus on data preprocessing, model development, and solving real-world problems.

Education

• B.Tech in Computer Science and Engineering
  Punjabi University, Patiala
  Computer Science and Engineering · Jul 2023 – Jun 2027
• Senior Secondary
  Saragarhi Memorial Meritorious School, Ferozepur (Punjab)
  Apr 2022 – Mar 2023
• Matriculation
  Govt Senior Secondary School, Diwan Khera (Punjab)
  Apr 2020 – Mar 2021

Skills

• SQL <3 months
• C 1 to 2 years
• Data Preprocessing <3 months
• Deep Learning <3 months
• Python <3 months
• Machine Learning 3 to 6 months
• Feature Engineering <3 months
• Matplotlib <3 months
• NumPy <3 months
• Pandas <3 months
• Streamlit <3 months
• scikit-learn <3 months
• Flask <3 months
• TensorFlow <3 months
• Natural Language Processing <3 months
• Tf-Idf <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Jupyter Notebook <3 months
• Linux <3 months
• MySQL Workbench <3 months
• SQLite <3 months
• VS Code <3 months

Projects

• Spam Email Detection ↗
  Python, Scikit-learn, NLP, TF-IDF

  Developed a machine learning model to classify messages as spam or not spam. Applied text preprocessing, TF-IDF feature extraction, and model evaluation using standard performance metrics.

• AI-Based Quality Inspection ↗
  Python, TensorFlow, Streamlit, CNN, PIL

  Developed a deep learning application to classify casting products as defective or non-defective from images. Trained a CNN-based image classification model and built an interactive Streamlit interface for uploading images and generating predictions.

• AI Resume Analyzer ↗
  Python, Streamlit, Flask, SQLite, Scikit-learn, NLP

  Developed an AI-powered application for ATS scoring, resume skill analysis, and job-role matching. Implemented PDF text extraction, skill/keyword analysis, TF-IDF based similarity, user authentication, analysis history, personalized recommendations, and role-based interview preparation.

Courses & certifications

• Cyber Security Training
• Fundamentals of AI and Machine Learning · AWS
• Introduction to Machine Learning · Kaggle
• AI Foundations · Simplilearn SkillUp

🏆 Achievements & awards

• Developed and deployed multiple practical AI/ML applications using Python and Scikit-learn
• Completed a 45-day Cyber Security Training
• Built and implemented end-to-end machine learning projects with interactive Streamlit applications
• Continuously developing problem-solving skills through Data Structures and Algorithms