TLDR: Full stack data scientist with experience working with stakeholders ranging from CEOs to elected officials. Skilled in model building, business analytics, communication, RDBMS, data infrastructure, and ETL (& reverse ETL). Background in Data Science, Software Engineering, and Biology.
🔭 I’m a Data Scientist working to solve complex problems at FM. In my career, I have worked on various projects such as geospatial remote sensing work for NASA, profit maximization and simulation creation at Booster, location selection models for capital allocation, and building forecasting models for electrical consumption for a DOE project.
⚡ Hobbies: I love spending time hiking and biking with friends. I also enjoy reading non-fiction books on economics, biology & ecology, history and the energy transition. Currently reading Everything written by Jessika Trancik.
🌱 I completed my undergraduate from UNC Asheville (Computer Science & Biology) and recieved an MS in Computer Science from Eastern Carolina University.
📫 Let's connect! You may reach me through LinkedIn (https://www.linkedin.com/in/cadejs/) or using my email: [email protected]
Skills
Programming Languages: Python, R, SQL, Bash
Machine Learning: Supervised Learning (Bayesian, Non-parametric, FLD, Regression, Classification), Unsupervised Learning (Clustering, PCA), Mult-Variate Analysis and more.
Frameworks: Apache Spark, Anaconda, AWS
Tools: dbt, Looker, HEX, Jupyter, python, mysql, scikit_learn, tensorflow pytorch, QGIS, GIT
Additional Competencies: Network Analysis, Remote Sensing, Experimental Design, Data Visualization, RDBS