Sagar A Shetty

Artificial Intelligence and Machine Learning (AIML) student at KS Institute of Technology with a strong foundation in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision. Passionate about developing intelligent systems that solve real-world problems through data-driven approaches.

Proficient in Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, and Git. Actively enhancing technical skills through hands-on projects, online coursework, and mentorship from leading AI educators. Dedicated to continuous learning and building a strong portfolio to pursue a career as an AI/ML engineer.

• Python with DSA (Udemy)
• Python DSA + Leetcode (Udemy)
• Mathematics basics to advanced for data science and Gen AI (Udemy)
• AI Fundamentals (IBM)
• Gen AI in action (IBM)

• Stock Soothsayer – Predicted NYSE stock prices using LSTM networks and financial time-series data in Pandas.
• Disaster Nostradamus – Forecasted natural disasters using time series models, XGBoost, and sensor-based feature engineering.
• Talent Triage – Predicted employee attrition using logistic regression, decision trees, and EDA with Pandas and Seaborn.
• Tweet Analysis Toolbox – Analyzed tweet sentiment and keyword trends using NLP techniques with NLTK/TextBlob and Twitter API.
• Time Table Generator – Built a Python-based system to auto-generate conflict-free academic timetables using logic constraints.
• E-commerce Website (Halloween Theme) – Created a themed shopping site with HTML, CSS, and JavaScript for a college competition.

• First prize in Project Expo 2024–2025, KSIT, for developing a logic-based time table generator
• First Prize in WebCraft Website Design Competition, KSIT – for creating a user-focused themed website.
• Participated in the IBM Wintership Program – focused on AI workflows and industry practices.
• Participated in Enigma Hackathon, Jyothi Institute of Technology – a tech sprint focused on real-world problem solving.
• Attended AI/ML & Data Science Workshop by IISc Bangalore – covered advanced topics in AI and data science.

• English
• Kannada
• Hindi
• German(Beginner)
• Japanese(Beginner)