ML Engineer
Classification
As an ML Engineer, I developed a multi-class classification model to determine forest cover composition. I utilized advanced machine learning techniques for data preprocessing and optimized models to handle class imbalance. My work required knowledge of Python, Keras, TensorFlow, and model tuning.
• Trained and evaluated deep learning models for forest data
• Applied under-sampling and class weighting for data challenges
• Tuned hyperparameters using grid search and cross-validation
• Achieved 30% performance improvement in classification accuracy
As an ML Engineer, I developed a multi-class classification model to determine forest cover composition. I utilized advanced machine learning techniques for data preprocessing and optimized models to handle class imbalance. My work required knowledge of Python, Keras, TensorFlow, and model tuning. • Trained and evaluated deep learning models for forest data • Applied under-sampling and class weighting for data challenges • Tuned hyperparameters using grid search and cross-validation • Achieved 30% performance improvement in classification accuracy
2023 - 2023