Fun College Assignment: Scraped information from Wikipedia and used MariaDB to store, maintain and query data.

Using Microsoft SQL Server & SSIS, implemented the schema and extracted, transformed, and loaded data from the operational database into the dimension and fact tables of the schema.

Executed a comprehensive data cleaning process and analysis to construct predictive models for forecasting Irish house prices.

Proposed data-driven strategies to mitigate employee turnover, aiming to reduce expenses related to recruitment, hiring, training, and the potential loss of organizational progress.

Using Python to incorporate tidy data framework to COVID-19 data from Ireland, plotly to visualise data, and Flask to publish visualisations a website.

Empowered Irish landlords in Rent Pressure Zones (RPZs) with data-driven decision-making, enabling them to make informed investment decisions whether long-term rent to or Airbnb out their property.

Collecting, cleaning and prepping TORX data for some serious myth busting!

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Table analysis in Tkinter using pandas DataFrames.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Predicting Customer Conversion Rate with 95% accuracy to Increase the Number of Transactions on the Website, and therefore, Increase Revenue.