About Me
I’m a Computing Science student with a passion for data science, machine learning, and solving real-world problems with technology. This website showcases my projects, skills, and experiences as I prepare for a career in data-driven decision making.
Experiences
Junior Operations Analyst (Summer Intern)
2024 - 2024 · Markerstudy Insurance Group
- Cleaned and analysed large-scale customer data, producing actionable reports on customer segmentation and insurance schemes.
- Improved resource allocation in customer support through data-driven insights.
- Processed datasets with Databricks and SQL, delivering insights to senior stakeholders
Summer Intern at the Advanced Machine Learning Team
2023 - 2023 · First Central Insurance and Technology Group
- Gained exposure to ML models (GAMs vs GBMs) in pricing and premium calculation.
- Produced presentation comparing model performance for team review.
- Shadowed senior team managers to understand industrial applications of machine learning in insurance.
Education
Bsc in Computing Science
2023 - *Present* · University of Strathclyde
3rd Year Abroad
2024 - 2025 · Michigan Technlofogical University
Secondary Education
2016 - 2023 · Hutchesons' Grammar School
Skills
Programming
I have in depth knowledge of Python and R, and am proficient in SQL and Java. In addition, I have experience with tools such as Git, Docker, and cloud platforms like AWS and Azure.
Data Tools
I am skilled in using data analysis and visualization tools such as Pandas, NumPy, Matplotlib, Seaborn, and Tableau. I also have experience with big data technologies like Databricks, Tableau, and powerBI.
Others
I have a solid understanding of machine learning algorithms and techniques, including regression, classification, clustering, and deep learning. I am also familiar with natural language processing (NLP) and computer vision.
Languages
I am fluent in English and German.
Hobbies
- Field Hockey
- Volleyball
- Traveling
- Reading