Projects
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Developed a hybrid model using CatBoost Regressor, Random Forest Regressor, and Vader Sentiment to perform a numerical and textual analysis of data from the Bombay Stock Exchange (BSE).
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Utilized various data pre-processing techniques to clean and prepare the data for modelling.
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Evaluated the performance of the model using various metrics such as root mean squared error (RMSE) and mean absolute error (MAE).
Presented the results of the project to stakeholders, including a detailed explanation of the methodology and findings.
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Built an end-to-end, interactive dashboard that allows stakeholders to explore the last 30 days of trading activity
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Utilized data visualization techniques to effectively communicate insights and findings to stakeholders
of the Pharmaceutical Company
Stock Market Analysis using SQL
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Used 20 days and 50 days Moving Average to determine if it is sensible to buy or sell a stock.