About Me
Hello, my name is Nathan Diekema. I have recently graduated from a Master program in Data Analytics from Cal Poly University, San Luis Obispo. I am intrigued by the field of data science, particularly the ever-growing relevance and applications of machine learning and AI. My appetite to grow and learn new skills drives my curiosity for topics such as computer vision, deep learning, and data ethics. I would describe myself as a proficient problem-solver, out-of-the box thinker, and dependable team member with strong technical skills. Above all else, I'm an enthusiastic learner and I'm eager to develop my career in data science.
Skills
Education
Experience
- Programming
Python, R, SQL, Java, C - ML Modeling
Tensorflow, scikit-learn, Keras - Data Visualization
Matplotlib, ggplot2, Tableau - Data Mining
Web scraping, NLP, PCA, database design & management, - Statistics
Matplotlib, ggplot2, Tableau, & Excel
- 2021-2022 | Cal Poly, San Luis Obispo
M.S. Data Analytics - 2017-2021 | Cal Poly, San Luis Obispo
B.S. Electrical Engineering
- Data Scientist | Pebble
In charge of healthcare plan design and proposal generation. Optimized group healthcare spend estimation through robust, risk-based modeling. Automated routine tasks and proposal generation and improved data ingestion efficiency - Data Science Intern | Netflix
Used a combination of internal and external data to identify the size of the mobile gaming market and come up with recommendations on how Netflix could efficiently break in to the market and use it as a revenue stream - Fastenal Case Competition
Analyzed trends in shipping data to identify potential inefficiencies and formulate recommendations to improve marketing performance - Data Science Intern | AT&T
Worked alongside the analytics team to analyze vast amounts of customer data to come up with prescriptive strategies to help reduce customer churn
