About Me
• Experienced working as an Application Support Engineer and Financial Analyst.
• Knowledge of Python and familiar with libraries such as NumPy, Pandas, and Scikit learn for data manipulation, preprocessing, and model implementation.
• Hands on experience in exploratory data analysis EDA techniques, using tools like Matplotlib and Seaborn to create insightful visualizations.
• Understanding SQL syntax for querying databases, joining tables, and aggregating data.
Languages: Python, SQL
ML Algorithms: Classification, Regression, Deep Learning, and Artificial Neutral Networks.
Libraries: NumPy, Pandas, Scikit learn, TensorFlow
Visualization: Matplotlib, Seaborn, and Plotly
IDE: Jupyter, Colab, and Spyder
Operating Systems: Windows
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