Aspiring Machine Learning Engineer | Building real-world Machine Learning and NLP projects | Open to opportunities

• 🎓 B.Tech graduate in Computer Science (Artificial Intelligence & Machine Learning).
• 🤖 Passionate about Machine Learning, Artificial Intelligence, Natural Language Processing, and Data Science.
• 💡 Building practical machine learning projects to strengthen my problem-solving and engineering skills.
• 🌱 Currently expanding my knowledge in Deep Learning, MLOps, and Generative AI.
• 🎯 Actively seeking opportunities as a Machine Learning Engineer, AI Engineer, or Data Scientist, where I can contribute, learn, and grow.

A selection of projects demonstrating my skills in Machine Learning, Natural Language Processing, Data Analytics, and solving real-world problems.

• Achieved 91.22% test accuracy using TF-IDF, Multinomial Naive Bayes, and GridSearchCV.
• Built an end-to-end NLP pipeline for fake news classification, including preprocessing, feature engineering, model training, and evaluation.

• Developed sentiment classification models using TF-IDF and Logistic Regression.
• Implemented complete text preprocessing, model evaluation, and Scikit-Learn pipelines for binary text classification.

• Designed an interactive Power BI dashboard to analyze sales, profitability, products, and regional performance.
• Combined SQL, Excel, and Power BI to generate business insights through interactive visualizations.

• Built a machine learning model to predict customer churn using preprocessing and feature engineering techniques.
• Evaluated classification performance to identify customers at risk of churn and support data-driven decision making.

_{Explore more of my work on GitHub}

🤖 Generative AI & Large Language Models (LLMs)

🧠 Deep Learning

☁️ AWS for Machine Learning

🚀 MLOps & Model Deployment

🛠️ Building End-to-End AI Applications

📖 Data Structures & Algorithms

📍 Karnataka, India