About Me

Data Science professional with an M.S. in Data Science and a strong foundation in machine learning, data analytics, data engineering, artificial intelligence, and research. Experienced in working with complex datasets, developing machine learning and deep learning models, building data pipelines, performing exploratory and statistical analysis, and transforming data into meaningful insights and practical solutions. Proficient in Python, SQL, PySpark, ETL/ELT, Databricks, Snowflake, machine learning, deep learning, computer vision, and data visualization, with hands-on experience across both academic research and applied projects. Contributed to NASA- and NSF-supported research involving AI, computer vision, autonomous robotic systems, medical image analysis, and intelligent data-driven solutions. Experienced in developing end-to-end machine learning workflows, including data preprocessing, model development, evaluation, optimization, and deployment, as well as working with cloud and modern data technologies. Strong analytical, problem-solving, and research abilities with a proven capacity to learn new technologies, work with multidisciplinary teams, and communicate technical findings effectively. Passionate about using data, artificial intelligence, and emerging technologies to solve complex real-world problems while continuously developing expertise across data science, engineering, analytics, and intelligent systems.