Experienced in data analysis principles and passionate about problem-solving, I possess a solid understanding of statistical methods and proficiency in analytical tools like Python and Excel. Ready to utilize and enhance these skills in the desired position, aiming to contribute to data-driven decision-making and continuous improvement.
In the House Property Sales Price Prediction project, I focused on transforming raw data into actionable insights through comprehensive preprocessing and feature engineering. By introducing impactful features such as Total Rooms and Price per Square Foot, I helped uncover hidden patterns in the dataset, resulting in a substantial accuracy improvement from 67% to 96.28%. My work demonstrated how thoughtful data preparation and engineering can elevate a machine learning model's performance to meet ambitious goals.