I am a software engineering professional with a strong foundation in Data Structures, Algorithms, and analytical problem-solving, focusing on Data Analysis and data driven decision making. With experience solving over 1,200 competitive programming problems, I bring structured thinking and strong logical reasoning to extracting insights from complex datasets.
My background in Artificial Intelligence and Machine Learning has given me hands-on experience working with data preprocessing, feature engineering, model evaluation, and performance optimization. I have worked with Python for data handling and analysis, applying statistical reasoning and algorithmic efficiency to build reliable solutions. My experience in AI model training and evaluation has strengthened my ability to assess data quality, detect inconsistencies, and ensure accuracy.
Beyond analytics, I have built full-stack and mobile applications where data organization, backend structuring, and database integration were critical. In projects like Car Verse, I designed systems that manage vehicle diagnostics, user data, and structured records enhancing my understanding of data pipelines, database design, and real-world data handling.
I am particularly interested in transforming raw data into actionable insights that drive strategic decisions. With strong programming skills in C, C++, Java, and Python, I combine technical depth with analytical clarity to deliver efficient, data-driven solutions. I am eager to contribute to organizations that value evidence-based decision-making and continuous innovation.