Python
Andrew Notohamiprodjo
Data Scientist
Livermore,CA
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Experience implementing Machine Learning algorithms. Highly organized, motivated and diligent with significant background in Geospatial data and technologies.
Overview
2
2
years of post-secondary education
4
4
years of professional experience
Work History
Information Systems Analyst
UC Merced
Merced, CA
10.2020 - Current
- Designed and developed GIS Machine Learning models for wildfire predictions using Python.
- Prototyped Machine Learning models and quickly determined application viability as an alternative to traditional models.
- Created customized applications to make critical predictions, automate reasoning and decisions, and calculate optimization algorithms.
Data Scientist
Spatial Informatics Group, LLC
Pleasanton, CA
01.2019 - Current
- Provided comprehensive analysis and recommend solutions to address complex environmental problems and issues using data from internal and external sources and applied advanced analytical methods to develop predictive models.
- Applied theoretical expertise and innovation to create or apply new technology such as adapting principles for applying Machine Learning.
- Applied statistical and algebraic techniques to interpret key points from gathered data.
Graduate Researcher
University Of San Francisco
San Francisco, CA
10.2018 - 01.2019
- Researched information regarding environmental issues to assist professors with projects involving wildfires and global fishing conditions.
- Performed statistical, qualitative and quantitative analysis.
- Planned, modified, and executed research techniques, procedures and tests.
GIS Intern
SF Environment
San Francisco, CA
07.2018 - 01.2019
- Contributed to centralized GIS portal and ArcGIS database, correctly inputting data on new job sites and revising data on changing conditions.
- Combined remotely-collected and on-site data acquisition to generate unified geographic mapping information.
- Provided technical recommendations and support documentation to aid in GIS process improvement.
Education
Master of Science - Environmental Management
University of San Francisco
San Francisco 08.2017 - 05.2019
Skills
Python
undefinedSoftware
Google Earth Engine
R
ArcGIS
Timeline
Information Systems Analyst
UC Merced
10.2020 - Current
Data Scientist
Spatial Informatics Group, LLC
01.2019 - Current
Graduate Researcher
University Of San Francisco
10.2018 - 01.2019
GIS Intern
SF Environment
07.2018 - 01.2019
Master of Science - Environmental Management
University of San Francisco
08.2017 - 05.2019
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