Abdul Azees

I am a results-oriented Data Scientist with a strong focus on Machine Learning, Deep Learning, and Natural Language Processing. My journey in data science began during my Bachelor of Technology in Electronics & Communication Engineering, where I developed a passion for leveraging AI to drive innovation and solve complex business challenges. I have honed my skills in building scalable solutions and data-driven decision-making, which I believe are crucial in today's data-centric world.

During my internship at ExcelR in Bangalore, I successfully completed a six-month program specializing in ML model development. I achieved a remarkable 23% increase in prediction accuracy through advanced feature selection and hyperparameter tuning. My experience includes redesigning ETL pipelines, developing end-to-end ML solutions, and collaborating on innovative data-driven projects that enhanced my practical expertise in machine learning.

My projects, such as Bankruptcy Prediction and Stock Market Analysis, showcase my ability to apply machine learning techniques to real-world problems. I engineered predictive models that not only assess financial risks but also provide actionable insights for businesses and lenders. I am excited to continue my journey in data science, contributing to projects that harness the power of AI for impactful solutions.