A data science professional with a strong skill set encompassing database management, data visualization, statistical programming, and machine learning. Possesses a deep understanding of the principles of data science and has experience working with big data. Proficiency in these areas allows for the extraction of valuable insights from complex datasets, driving data-driven decision-making, and contributing effectively to data-driven projects and initiatives.
Technical Skills: -Programming Languages: Python (Advanced), R (Advanced), SQL (Advanced) - Data Manipulation: Pandas, NumPy, dplyr - Data Visualization: Matplotlib, Seaborn, Plotly - Machine Learning Libraries: Scikit-Learn, TensorFlow, PyTorch - Big Data Tools: Hadoop, Spark, Hive
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