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Projects

BSE Stock Price Prediction Using Textual and Numerical Analysis

  • 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).

  • Utilized various data pre-processing techniques to clean and prepare the data for modelling.

  • 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.

Cryptocurrency Dashboard

  • Built an end-to-end, interactive dashboard that allows stakeholders to explore the last 30 days of trading activity

Financial Dashboard of a Pharmaceutical Company

  • Utilized data visualization techniques to effectively communicate insights and findings to stakeholders

of the Pharmaceutical Company

Stock Market Analysis using SQL

  • Used 20 days and 50 days Moving Average to determine if it is sensible to buy or sell a stock.

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