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T S E A R S 1 adcl09@r.postjobfree.com

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C O N T A C T

E X P E R I E N C E

E D U C A T I O N

TECHNICAL GEOSCIENCE ASSOCIATE

UNIVERSITY OF COLORADO 2008 - 2013

Data Scientist with over 6 years of experience in the energy, and tech industries. Interested in working on challenging computational and scientific problems. Skilled in data science, visualization, GIS, and geophysics.

P R O F I L E

Data analysis, manipulation, and visualization using python

(pandas, numpy, scikit-learn).

Algorithm development, testing, and programming.

Incorporates lateral and vertical well logs, seismic, time-series, and GIS data to build earth models and accurately interpolate subsurface properties.

Manages various databases to ensure data is easily available and uniformly formatted.

Developed interfaces to easily access and visualize multiple data sets in a single repository.

Processed geophysical time and depth data to accurately interpret in situ rock properties and geology, with a focus on filter design and application.

Created earth models and maps with multiple vintages of data over large regional areas.

BACHELORS DEGREE GEOLOGY, GEOPHYSICS

SPECIALIZATION

EXXONMOBIL MAR 2014 - OCT 2017

SENIOR DATA SCIENTIST

FRACTURE ID OCT 2017 - NOV 2019

Python

Pandas

Visualization

GIS

Data Analysis

Data Managment

S K I L L S

RESEARCH ASSISTANT

GEOMATHEMATICS & REMOTE SENSING LABORATORY

(CIRES) JAN 2012 - MAR 2014

Analyzed satellite images and spatial data of glacial regions to help train machine learning algorithms to correctly identify and classify glacier types.

Assisted in writing and researching academic papers and journals. LABORATORY ASSISTANT

INSTITUTE OF ARCTIC & ALPINE RESEARCH ( INSTAAR) JUN 2012 - JUN 2013

Performed X-Ray Diffraction, grain size analysis and other analysis on core samples.

Evaluated core data to determine geologic importance and correlations.

DATA SCIENTIST

PLUTOSHIFT JAN 2020 - PRESENT

Takes structured and unstructured data, cleans, and aggregates data into a usable format.

Finds correlations and patterns in diverse datasets. Creates models to better understand and predict future problems. Engages with customers to demonstrate valuable solutions using predictive modeling and data science.

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