🏗️ Former architect with nearly a decade of experience, now exploring the boundless world of data science. Blending architectural creativity with a passion for coding, I specialize in constructing end-to-end ML pipelines and leveraging big data tools for insightful analyses. 💡
- Data Scientist: Machine Learning (Codecademy)
- Data Scientist Bootcamp (HyperionDev)
- Data Engineering Professional Certificate (EdX & IBM)
- Front End Web Developer Certificate (EdX & Trilogy)
- Architect (2014 – Present)
- Rio Architects/Scott Brownrigg/Gaunt Francis/Chapman Taylor, U.K.
- Led project management and team coordination in various architectural projects, showcasing adaptability and a collaborative mindset.
- Worked on large-scale projects, including a £123 million mixed development, demonstrating project coordination and management skills.
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U.S Medical Insurance Cost
- Link to GitHub
- Python analysis for valuable insights, emphasizing data exploration and visualization.
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Airfoil Noise Prediction ML Pipeline
- Link to GitHub
- End-to-end ML pipeline using Python, Pandas, and Scikit-Learn for airfoil noise prediction.
- Languages: Python, SQL, JavaScript
- Data Science: ML, NLP, Data Visualization
- Tools: Docker, Kubernetes, Git
- Databases: MySQL, PostgreSQL, MongoDB, Cassandra
- Frameworks: ReactJS, NextJS
- Libraries: Pandas, Numpy, Matplotlib, Seaborn
- Cloud application development with node.js, Express, Containers, Kubernetes, OpenShift.
- Python and Django application development with SQL, microservices, and serverless applications.
Excited to contribute to data-driven projects, automate processes, and collaborate with like-minded professionals. Let's turn data into insights! 📊✨
Connect with me, let's code, learn, and innovate together! 🚀👩💻 #DataScience #Python #MachineLearning #DataEngineering