An enthusiastic and results-oriented Data Scientist with expertise
in statistical analysis, machine learning and predictive modeling.
I specialize in actionable insights, using Python, RStudio and SQL to drive
data-informed decisions that elevate business strategies.
My ability to synthesize complex data into clear, concise
reports has enabled stakeholders to make informed decisions that enhance business
development strategies.
In this business simulation project I leverage predictive modeling and machine learning with Python to derive insights and support strategic decision-making to investigate the churn rate of a company's customers.
In this externship project, I look at what variables impact song popularity to drive music artists and YouTubers alike to the Thematic platform.
In this project we analyzed the features that impact the rate at which bikes are rented to understand and answer what the impact of temperature on the amount of bikes rented is.
For our final year project, we developed Easy Bites, a meal planning mobile app that personalizes recipe recommendations based on user preferences, dietary restrictions, and available ingredients.