A curiosity-driven data science student, eager to leverage machine learning and data analytics to extract meaningful insights, make informed decisions and solve challenging business problems.
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Languages: Python, SQL, Java Script, HTML, CSS
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Frameworks: Bootstrap, Streamlit, Flask
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Libraries & Tools: NumPy, Pandas, Scikit-Learn, SciPy, Matplotlib, Seaborn, Pycaret, Tensorflow, FBProphet, Keras
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Data Analysis: Excel, Tableau, Exploratory Data Analysis
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Machine Learning: Linear Regresssion, Logistic Regression, Random Forest, Decision Tree, Naïve Bayes, K-NN, Principle Component Analysis (PCA), Association Rules, Recommendation System, clustering techniques, XGBOOST etc.
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Databases: MySql
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IDEs used: PyCharm, Spyder, Jupyter Notebook,VS Code, Sublime text etc.
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Other skills:Power Point, Wordpress, SAP ERP, SAP HANA.
