I have industry experience, backed up with a strong bootcamp foundation and a background in the natural sciences. During my time in the industry, I was responsible for managing a data pipeline, wrangling and cleaning heterogenous data, making predictions, and ultimately delivering business insights. This was in a startup environment, and I gained a lot of knowledge about what is really needed from data scientists.
This is backed up by a strong start from the Metis Data Science Bootcamp, where I gained hands-on experience with python, SQL, machine learning algorithms, and many, many other tools. I created multiple end-to-end projects, including a classification algorithm to determine high-risk counties for wildfire, and an adjective-based album recommendation app.
Underlying all this experience is my background in environmental science. From that, I gained a deep appreciation and respect for the scientific method which I bring to my work today. I also gained experience with experimental design, statistics, and probability.
If you're interested in learning more about my background, or hearing about the details of my projects, please get in touch!
I'm excited to work either on a team or independently to deliver data-driven insights. I love to perform predictive modeling, and that's something I look forward to helping with. I'm flexible about remote work.
Expected Base Salary
**,000 USD / year
Expected Hourly Rate
Total Professional Experience
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