Aug 2020 – Sep 2020 · 1 mo · Davanagere, Karnataka, India

• Worked on real-world AI and Machine Learning applications
• Skills & Tools:
• Python, TensorFlow, Keras, Scikit-learn, NumPy, Pandas, Matplotlib, OpenCV, PyTorch, IBM Cloud , Git, REST APIs, Fask APIs, HTML, CSS, JS
• Key Responsibilities:
• Built and evaluated regression models to predict ore quality and yield in mining operations using hyper parameters.
• Developed machine learning pipelines for compressive strength prediction of concrete based on material composition and curing data.
• Implemented feature selection, normalization, and hyperparameter tuning for optimized performance.
• Applied algorithms such as Linear Regression, Descision Trees, Random Forest, Gradient Boosting, and Artificial Neural Networks.
• Visualized correlations and model outputs using Python data visualization libraries.
• Deployed and documented project outcomes on the SmartInternz portfolio platform.
• Successfully delivered two capstone projects:
• 1. Quality Prediction in Mining Process
• 2. Compressive Strength of Concrete Prediction