Hire Haricharan - AI Developer

* Worked on data preprocessing, model validation, and deployment while collaborating with senior engineers. * Contributed in developing and optimizing machine learning models, including ResNet-34, to improve accuracy and efficiency in AI applications. * Currently focused on MLOps deployment, emphasizing model tracking and version control using MLflow to streamline workflows.

During my internship at Bharat Intern, I applied Python, TensorFlow, and scikit-learn to develop machine learning models for house price prediction and iris flower classification:House Price Prediction: Implemented regression models that achieved a 9.87% increase in test accuracy compared to previous models, reaching an overall accuracy of 92.5%. Employed TensorFlow for deep learning techniques and optimized feature engineering to enhance model robustness.Iris Flower Classification: Enhanced classification accuracy by 6.42% on test data through rigorous feature selection and hyperparameter tuning using scikit-learn, achieving an overall accuracy of 98.3%. This effort included optimizing model performance and ensuring reliable species classification.I contributed valuable insights into data preprocessing, validation methodologies, and result interpretation. Collaborating closely with senior data scientists, I played a key role in refining model architectures and deploying scalable solutions, demonstrating proficiency in leveraging advanced machine learning techniques for impactful business outcomes.