John Glase
San Francisco,CA
Summary
Over 6 years' experience in data processing, designing, analysis, and data management with high proficiency in predictive modeling, data mining and machine learning.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Head Data Scientist
Syndi Systems LLC
02.2018 - 08.2019
- Develop and implement advanced algorithms that can be used in a scalable way to aide company service objectives, clear inefficiencies, enable new avenues of profitable growth, and help improve organizational decision making on both a micro and macro level
- Design and implement statistical and data mining techniques for large scale data sets e.g
- Hypothesis testing, machine learning, storage, and retrieval processes for predictive modeling, forecasting and other relevant information
- Collaborate with sales, customer service, and marketing teams - compiling statistical analysis of the data to support specific needs of each department for quality improvement decisions
- Create and design data visualizations to demonstrate findings and opportunities that are easy to interpret, interactive, and can be used by clients.
Data Scientist
Global Partners Texas
09.2015 - 05.2017
- Collected and analyzed data pertaining to customer behavior and trends, delivering high level insights to management and executives using statistical analysis techniques including but not limited to: linear regression, least squares method, hypothesis framework design, confidence intervals, t-test, etc
- Designed a shareable and readable dashboard for sharing reports, models, and algorithms to supervisors and clients make data insights clear, accurate, and actionable
- Created methods to improve our data collecting and analytical tools for locating the optimal opportunities to leverage data and offerings to customers in a way that is scalable, efficient, and automated for large scale data.
Data Scientist Intern
Converge Pharmaceuticals
08.2013 - 06.2014
- Designed experiments, tested hypotheses, and built advanced data models for analysis using self made algorithms
- Used results from advanced testing and modeling techniques to justifiably predict outcomes that can be used to plan, maintain, and improve upon real-time decision systems
- Made strategic recommendations on data collection, and how to incorporate and reinforce best practices for data use towards business knowledge and decision making
- Helped model and frame business scenarios that have meaningful impact on critical procedures and business development decisions, and assisted the integration and simplification of data sets for client use.
Education
MS - Operations Research
The University of Texas at Austin
Austin, TX12.2016
BS - Mathematics
The University of Texas
Austin, TX06.2014
Skills
- Model Validation
- Statistical Modeling
- Geospatial Analysis
- Predictive Analytics
Certification
- SAS Certified Big Data Professional
- SAS Certified Data Scientist
- MICROSOFT AZURE - EXAM 70-473
- GOOGLE ANALYTICS INDIVIDUAL QUALIFICATION (GAIQ)
Extra Skills Experience
- Proficient with Python
- Superior SQL experience
- Expert with data visualization
- Experience using AWS, OLTP, OLAP
- Knowledge in Hadoop Core Components
- Big Data Analytics Using Spark
Timeline
Head Data Scientist
Syndi Systems LLC
02.2018 - 08.2019
Data Scientist
Global Partners Texas
09.2015 - 05.2017
Data Scientist Intern
Converge Pharmaceuticals
08.2013 - 06.2014
MS - Operations Research
The University of Texas at Austin
BS - Mathematics
The University of Texas
- SAS Certified Big Data Professional
- SAS Certified Data Scientist
- MICROSOFT AZURE - EXAM 70-473
- GOOGLE ANALYTICS INDIVIDUAL QUALIFICATION (GAIQ)
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