Data Specialist
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With a diverse background encompassing retail, customer service, IT support for the NHS, and a Physics degree from Canada, I bring a unique blend of practical experience and technical knowledge to the table. My passion for making a difference led me to a fulfilling 4-year stint as a Physics/Science teacher, where I honed my ability to simplify complex concepts and inspire curiosity.
I thrive on problem-solving and continuously seek to expand my knowledge. My goal is to join a dynamic, innovative company where I can contribute to impactful projects and grow professionally. Residing in Hemel Hempstead, I am enthusiastic about roles that allow me to be an active participant in office culture and drive forward initiatives.
Seeking to merge my interests in technology and analytical reasoning, I completed an intensive 9-week Data Science and AI boot camp at Le Wagon. There, I advanced my programming skills in SQL and Python, delved into large-scale data analysis, and applied machine learning models with scikit-learn to automate predictions. I further enhanced my ability to present data visually, mastering tools like Plotly and Seaborn alongside my foundational skills in Matplotlib.
Post-boot camp, I've dedicated myself to promoting ethical data practices through volunteer work, leading initiatives on AI ethics for secondary students, managing technical migrations, and engaging in freelance web development projects. This work underscores my commitment to using technology responsibly and my eagerness to tackle technical challenges.
Foundation Year in Electronic Engineering - University of the West of England
Degree in Physics - Concordia University, Montreal
Science College Alumni - Concordia University Montreal
PGCE Secondary Education - Canterbury Christ Church University
Data Science and AI Boot Camp - Le Wagon London
