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π Final year Software Engineering student
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π Focused on Data Science and its applications, specially in the financial sector
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π» Skilled in Python, SQL and R programming
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π Experienced with machine learning, data analysis and visualization libraries
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π Currently exploring financial data applications
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π± Always learning new data science techniques and tools
Languages
Libraries and Tools
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Programming Languages: Python, SQL, R
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Data Analysis: Pandas, NumPy, SciPy, Statsmodels
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Data Visualization: Matplotlib, Seaborn, Plotly, ggplot2
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Machine Learning: PyTorch, Scikit-learn, TensorFlow, Keras
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Statistics: Hypothesis Testing, Regression Analysis, Probability Distributions, Bayesian Methods
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Financial Analysis: Time Series Analysis, Risk Modeling, Financial Forecasting
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Database Management: PostgreSQL, MySQL, SQLite