Google Dataflow, Python Programming, SQL, API, AWS, Data Visualization, ETL/ELT technologies, Jupyter Notebook, Apache Airflow, Google Cloud Platform (GCP), Natural Language Toolkit - NLTK, Flask, Data pipelines
Portland, Or | 2 months
My name is Bri. Over the last few years, I have become increasingly fascinated by data. Information has so much power, but only if it can be understood. I love facts, puzzles, and problem-solving. I am a dedicated, flexible, hard worker, and work well independently and on teams. My attention to detail and perfectionism helps me both in customer service and in my data career. At the data engineering course I took, I learned new languages and a different way of looking at things. I navigated the complex world of pipelines, scraping, and scrubbing with loops and queries. It is so satisfying to take vast collections of data and simplify it by breaking it down into parts. Collaborating with my classmates on projects, we utilized a variety of different methods to take large and incomplete information and process it in a way that would make it usable for analysis.
Degree | Institute | Years of Passing | Percentage |
---|---|---|---|
Diploma | Epicodus | 2023 | 100 % |
Experience | Employer Name | Designation | Location |
---|---|---|---|
1 months | Tech Guy On The Go | IT | Portland |
1 months | Theo | Data | Portland |