Robert Welk
Huntington,NY
Summary
Results-driven data scientist with experience in designing and implementing data-driven solutions to solve complex hydrologic problems. Proficient in machine learning, statistical analysis, and data visualization. Adept at leveraging Python, R, and SQL to extract insights from large, disparate datasets and communicating findings to both technical and non-technical audiences. Highly organized, motivated and diligent with significant background in spatial and temporal analysis of hydrologic processes.
Overview
8
8
years of professional experience
Work History
Hydrologic Technician
United States Geological Survey
09.2016 - Current
- Utilized advanced querying, visualization and programming tools to compile, analyze and process disparate geospatial data sets including a comprehensive study of compound flood drivers.
- Applied statistical and algebraic techniques to interpret key points from gathered data including wetland and estuary assessments.
- Developed polished visualizations to share results of data analyses including web-based mapping applications.
- Authored numerous peer-reviewed scientific publications.
- Trained staff in the development of scientific publications and programming techniques.
- Developed predictive models for estimation of water quality parameters using remotely sensed datasets.
- Combined remotely-collected and on-site data acquisition to generate synthesized geographic mapping information.
- Collected, reviewed and interpreted real-time and long-term spatial and temporal geological data.
- Working independently and collaboratively in a team environment while adapting to changes in .
Contractor
United States Geological Survey
05.2015 - 08.2016
- Conducted routine maintenance and inspections of real-time coastal monitoring stations
- Collection of monthly groundwater levels for a regional network.
- Prepared input of state and local stakeholders for development of a regional water resource monitoring strategy document.
Education
Master of Science - Data Science
CUNY School of Professional Studies
New York, NY05.2022
Bachelor of Science - Earth Science And Environmental Engineering
CUNY City College
New York, NY05.2016
Skills
- Artificial Intelligence/Machine Learning
- Spatial and Temporal Statistical Analysis
- Advanced Visualization Techniques
- Geographic Information Systems
- R and Python programming languages
- Big Data and Cloud Computing Platforms
- Time-series analysis
- Data mining
Timeline
Hydrologic Technician
United States Geological Survey
09.2016 - Current
Contractor
United States Geological Survey
05.2015 - 08.2016
Master of Science - Data Science
CUNY School of Professional Studies
Bachelor of Science - Earth Science And Environmental Engineering
CUNY City College
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