Liam Rose
Quantitative Data Scientist | Master of Data Science
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Quantitative Data Scientist | Master of Data Science
Download Resume
Hi! I'm Liam, a Quantitative Data Scientist with a passion for applying statistical and machine learning techniques to solve complex problems. As a Master of Data Science student, I specialize in Python, R, and advanced statistical modeling, with a strong foundation in both Frequentist and Bayesian methods.
I thrive on extracting actionable insights from data, and I enjoy working in fast-paced environments where I can apply my skills to real-world challenges. My goal is to leverage data to drive decision-making and create impactful solutions.
• Advanced statistical modeling (Frequentist & Bayesian)
• Data cleaning, transformation, and analysis
• Python (Pandas, NumPy, TensorFlow)
• R programming and RStudio
• SQL & NoSQL databases
• Machine learning and predictive modeling
• Data visualization (Plotly, Matplotlib, ggplot2)
• Strong communication of technical concepts
• Problem-solving in dynamic environments
Using the Riot Games API to pull match data for a user and display statistics about their performance in recent games.
Using the Up! Bank Developer API to receive data about my bank accounts, spending, and income, and using a Plotly Dashboard to visualize financial trends.
September 2022 – Present
November 2021 - September 2022
July 2021 - November 2021
January 2020 - July 2021
February 2019 - January 2020
If you'd like to know more about me or want to discuss anything, I'm always keen to hear from you!