SHASHANK S U

Professional with strong background in artificial intelligence and machine learning. Skilled in developing, implementing, and optimizing AI algorithms and models. Proven track record of enhancing team collaboration and delivering impactful results. Adaptable, reliable, and ready to meet evolving project demands.

AI-Based Stock Sector Recommendation System (Final Year Project)

• Designed and developed a stock sector recommendation system based on financial news and journal analysis.
• Collected and processed news articles to extract sentiment and sector-level insights using NLP techniques.
• Integrated OpenAI API to enhance contextual understanding and generate AI-driven investment insights.
• Built a modular and scalable architecture for news-driven analysis and sector mapping.

Technologies: Python, NLP, OpenAI API, Pandas, News APIs

Cyberbullying Detection Using Machine Learning

• Developed an NLP-based machine learning model to detect and classify cyberbullying content from textual datasets.
• Performed text preprocessing including tokenization, stopword removal, and TF-IDF vectorization for feature extraction.
• Implemented a Logistic Regression classifier achieving ~89% accuracy.
• Evaluated model performance using precision, recall, F1-score, and confusion matrix.

Technologies: Python, Scikit-learn, Pandas, NumPy, NLP, TF-IDF

Data Scientist Salary Prediction Web Application

• Developed a Flask-based web application to predict data scientist salaries using regression models.
• Trained machine learning models on structured CSV datasets with data preprocessing and feature engineering.
• Designed a user-friendly interface to collect inputs and display real-time predictions.
• Evaluated model performance using regression metrics.

Technologies: Python, Flask, Scikit-learn, Pandas, HTML, CSS

Swachh Bharat Cleanliness Drive — 80 hours., Waste Segregation Awareness Program., Facilitated 100% digitized money transactions in rural communities., Plastic Ban Awareness campaign under NGO initiatives.

• Machine Learning with Python (Skillforge)
• Meta Introduction to Front-End Development Professional Certificate — Coursera (April 2026)
  Completed an industry-recognized certification by Meta covering HTML, CSS, JavaScript, responsive web design, and modern frontend development practices. Built foundational skills in developing user-friendly and responsive web applications.
• 🔗Certificate Link: https://coursera.org/share/a083c5e803ed96d4847083d5244c6421