Junior Data Analyst
Open to offersNew to PlatformNida S. is a dedicated Data Science student at the Institute of Management Sciences, expected to graduate in 2027. With a strong foundation in data analysis, machine learning, and artificial intelligence, she has actively engaged in several impactful projects. Her notable work includes developing a disease detection application utilizing Python and PostgreSQL, where she designed a relational database for managing medical data, ensuring efficient data handling through integrated SQL queries. Moreover, Nida applied database normalization for enhanced data consistency. Her project experience extends to building a machine learning model for epileptic seizure prediction, where she expertly handled socioeconomic data, utilized tools like NumPy and Pandas, and employed visualizations with Matplotlib to support data-driven insights. Nida's proficiency is further highlighted by her skill in data preprocessing, feature selection, and algorithm evaluation, showcasing her ability to transform raw data into valuable insights.
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