Career Goals
Detail-oriented Software Engineering student with hands-on experience in AI/ML, particularly in recommender systems, model training, and data preprocessing. Proficient in Python, Scikit-learn, and Google Colab with strong skills in technical writing, team leadership, and project management. Published IEEE author with a keen interest in cybersecurity and digital innovation.
1. Recommender System Using Cosine Similarity
Built a personalized recommendation engine using TF-IDF vectorization and cosine similarity.
Focused on user interest and prerequisite matching, optimized for real-world use cases.
Addressed overfitting and validated model performance through evaluation metrics.
Know about tools like rapid miner.
2. AI Model Training on Custom Dataset (Google Colab)
Trained classification and regression models using Scikit-learn and Pandas.
Conducted data cleaning, feature engineering, and visualized results with Matplotlib.
Strong skills in presentation, documentation, and report writing, Proven leadership in academic and technical teams, Passionate about AI ethics and digital innovation, Efficient in time management, multitasking, and collaborative teamwork
A Classification-Based Approach for Course Recommendation System, IEEE AI/ML Domain
AI For Everyone – Coursera, Generative AI Fundamentals – Coursera, Python for Data Analysis – Coursera, Cybersecurity Essentials – Coursera, Ethical Hacking Essentials – Coursera, Meta (Facebook) Ads – Coursera
Career Goals