DXSM69 User

I am an AI/ML Engineer with a strong foundation in machine learning and data science. My recent experiences include developing ensemble models that achieved 73% accuracy for disease predictions and enhancing datasets to improve model generalization. I have a passion for leveraging data to drive insights and improve decision-making processes.

During my internship at Intense Technologies, I built a sentiment analysis system that improved accuracy from 67% to 84% using TF-IDF and Random Forest. Additionally, I led a team in time-series forecasting, achieving 87% prediction accuracy with ARIMA models while processing over 300K energy records for anomaly detection. My technical skills span across various programming languages and machine learning frameworks, enabling me to tackle complex challenges effectively.

I am currently focused on expanding my expertise in MLOps and deep learning, working on projects that involve building ML pipelines and implementing transformer architectures. I am eager to contribute to innovative projects that harness the power of AI and machine learning to create impactful solutions.