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System Analyst
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- Data Collection: Collect, acquire, and gather data from various sources, which may include databases, APIs, web scraping, and more.
- Data Exploration: Perform exploratory data analysis (EDA) to gain a deeper understanding of the data, identify patterns, and detect anomalies.
- Machine Learning: Apply various machine learning techniques, such as regression, classification, clustering, and deep learning, depending on the problem at hand.
- Data Mining: Client patterns and trends within large datasets to uncover valuable information.
- Statistics and Mathematics: 2 + years of experience in statistical concepts, probability, linear algebra, and calculus, which are fundamental to data analysis and modeling.
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