A Business Intelligence Dev based in the US.
Currently a contracted Product Data Analyst at Cornerstone Building Brands. Previously worked in BI Development, Digital Transformation & Data Analysis for Stanley Black & Decker (Jan 2022 - Mar 2024) on their Leadership Program.
Graduated with a Master's Degree in Mathematics from Lancaster University in the UK in 2021, achieving First-Class Honours (equiv. 3.7-4.0 GPA). Specialized in probability theory (producing a dissertation on random walk recurrence), real & complex analysis and, outside of my degree, studied theoretical computer science.
- Familiarity in driving global projects through their entire development life cycle
- Deep experience with data: interactive visualization via Power BI, transformation with Alteryx, and automated pulling using SQL Snowflake, APIs & Power Automate
- Fluency with Python; implementing ad-hoc scraping, API & visualization solutions using NumPy, pandas, Matplotlib, BeautifulSoup & requests
- Capability developing front-end mobile & PC GUIs and back-end databases & pipelines for production applications
- Background in a professional capacity to: write documentation for my projects post-deployment, conduct hand-overs, on-board team members and lead casual workshops
- Understanding of low-level programming concepts, proficiency with C
I am always learning; my mathematics degree being highly abstract, I like to explore more directly applicable fields like computer science, data, supply chain and factory operations.
I am currently taking Harvard's open CS50x 2024 course to gain some standard practices and a cursory computer science understanding.