Jeffrey Magouirk
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Jeffrey

Manitou Springs, Colorado id="timeZone">--:--:--

Experience with non-structured data(documents), telecom, financial services and health care data. Knowledgeable in machine learning methods – cluster analysis, decision trees, random forests, gradient boosting machines and deep learning neural networks. Other skills in market research, spatial analysis and survey design. Experience in financial and economic analysis; ability to manage and solve complex problems. Skills in database analysis, applied econometric, data mining, statistical analysis/modeling and data analytics/metrics. Very skilled in the connection of different data sources to produce analysis data tables.

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
XML
NumPy
Kafka
Random Forest
MySQL
JSON
PySpark
TensorFlow
SQL Server
Hadoop
Pandas
SQL
Hive
Google Maps
SAS
Developer Personality

Independent

Collabrativer

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

Deep Learning

Data Modeling

Analysis

Survey Design & Analysis

Machine Learning

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

TEAM LEAD

Consultant

Enterprise

Statistician

Informatics

MODERATE
EXTENSIVE
EXPERT
Portifolio

Freelance

Contract Data Scientist

Work Experience : 2015-2020

Worked with both Department of Defense and United Health Group examining health claims, wrote code to break out patient chart xml files into panda data frames, wrote Python code with deep learning to turn recordings of meetings into meeting notes, and wrote code to search folders for identified word and list the documents and folders.

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DHI / Verizon / Chipotle

Lead Data Scientist

Work Experience : 2015-2020

Built algorithms, used NLP to develop models, generated machine learning methodology, applied Graph theory, used fuzzy cluster analysis, retrieved data with Elasticsearch Developed algorithm, and used Cluster analysis.

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Crown Pointe Management, LLC

Senior Data Scientist

Work Experience : 2015-2020

Provided data science consulting services to Pfizer, Inc., Cox Communications, Unisys Corporation, and Walgreens. Established production of company-wide daily cash forecast using neural-net, random forest, time-series analysis, and naive Bayes, built big data storage in HIVE/Hadoop environment to handle large server log files for use in a Cybersecurity project, and developed predictive model from text mining techniques from manufacturing quality control documents to identify areas of improvement. Used text mining techniques - Term frequency/Inverse Term frequency, Topic modeling, Sentiment Analysis, and Word Association.

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Hire Jeffrey Magouirk