Applied Scientist
Summary
I am a Computational Behavioral Scientist who has been working in research and software development. My background is in the computational, data, and behavioral sciences where I conduct research and coding to apply ideas and solve problems.
I employ skills including Python, git, testing, code reviews, documentation, statistics, agent based modeling, procedural generation, and machine learning techniques including unsupervised algorithms.
I am looking for research and applied opportunities to contribute in a technical capacity while growing in domains such as AI, complexity science, procedural generation, and computational science.
Expectations
I would like to continue my technical skill development and contribute more in the public domain.
Employment Preferences
Expected Base Salary
**5,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Skills
- Python
- C#
- R
- Git
- Github
- Zsh
- Bash
- Unity
- SPARQL
- SQL
- Neo4j
- Unit Testing
- Integration Testing
- Code Reviews
- Documentation
- Technical Writing
- Numpy
- Pandas
- Geopandas
- Scipy
- Sklearn
- Statsmodels
- Thefuzz
- Matplotlib
- Seaborn
- Networkx
- Statistics
- Probabilistic Models
- Agent-based Modeling
- Procedural Generation
- Linear Regression
- Mixed Models
- Principal Component Analysis
- Clustering
- K-nearest Neighbors
- Research
- Science
- Methods
- Data Analysis
- Writing
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