Summary
Overview
Work History
Education
Skills
Software
Timeline
Generic

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

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Software

Python

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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Andrew NotohamiprodjoData Scientist