Jason Mora
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Jason Mora Email & Phone Number

Associate Director, Data Science and Risk Analytics at Federal Home Loan Bank of San Francisco
Location: San Jose, California, United States 7 work roles 2 schools
1 work email found @emodoinc.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Role
Associate Director, Data Science and Risk Analytics
Location
San Jose, California, United States

Who is Jason Mora? Overview

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Quick answer

Jason Mora is listed as Associate Director, Data Science and Risk Analytics at Federal Home Loan Bank of San Francisco, based in San Jose, California, United States. AeroLeads shows a work email signal at emodoinc.com and a matched LinkedIn profile for Jason Mora.

Jason Mora previously worked as Sr. Data Analyst at Emodo and Digital Insights Analyst at Emodo. Jason Mora holds Master Of Science - Ms, Applied Mathematics from California State University - East Bay.

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Email format at Federal Home Loan Bank of San Francisco

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{first}.{last}@emodoinc.com
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Profile bio

About Jason Mora

A business-minded mathematician with a track record of delivering impactful and valuable insights via techniques in data science. My years of experience in scientific research and digital marketing generated various perspectives to have the perspicacity to solve difficult problems, improve the quality of products, and generate revenue.

Listed skills include C++, Data Analysis, Microsoft Office, Programming, and 32 others.

Current workplace

Jason Mora's current company

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Federal Home Loan Bank of San Francisco
Federal Home Loan Bank Of San Francisco
Associate Director, Data Science and Risk Analytics
AeroLeads page
7 roles

Jason Mora work experience

A career timeline built from the work history available for this profile.

Sr. Data Analyst

San Francisco, California, Us

Utilized data science, analytical, and business skills to generate and communicate impactful & actionable insights across Emodo and to clients. Using the python data science suite libraries via jupyter notebooks either locally or via the AWS server:+ Generated insights using techniques in machine learning, data visualization, and statistical inference that led to the growth of multiple multi-million dollar accounts + Identified and developed automation of outlier detectors and data cleaning methodologies for Emodo’s core data products that scale for both US and UK markets+ Generated ETLs and automated templates for reports, data visualizations, and calculated custom KPIs for data products that scaled for both US and UK Markets. ETL pipeline consisted of: - Collect data from Emodo and multiple Third-Party vendors to merge into the coherent dataset(s) - Remove outliers and perform other cleaning methods - Calculate KPIs and generate data visualizations that went to either PPT slides or continued through the pipeline by uploading onto Emodo’s custom reporting portal+ Lead the technical evaluation of BI vendors and selected one based on my data models, ease of transferring my ETLs, and also meeting the data visualization capabilities needs of the team

Apr 2022 - Jan 2023

Digital Insights Analyst

San Francisco, California, Us

+ Serves marketing and sales with insights, visuals, and analytics + Caters to product and engineering by providing analytical support

Jun 2019 - Apr 2022

Associate Research Scientist

California, Us

+ GNOME (Global Network of Optical Magnetometers to search for Exotic Physics): Mentor: Dr. Derek Jackson Kimball- Develop analytical techniques to tackle big data generated by laboratories around the world to search for dark matter.+ CASPSEr (Cosmic Axion Spin Precession Experiment): Mentor: Dr. Derek Jackson Kimball- Provided techniques in machine learning that cleansed the data from outliers to help measure the g-factor ratio of the larmor frequencies of two Rubidium isotopes (85 and 87). Poster Presentation at DMOP 2018Publication: 9/2018 (Link in publication section)

Jan 2018 - May 2019

Associate Research Scientist

Moffett Field, California, Us

Main Project: Investigating the physiological effects of metabolic control in non-hibernating mice and its response to gamma radiation. Mentor: Dr. Yuri Griko - Lead the analysis of the project and developed the analytics framework using python and the analytics packages (pandas, numpy, spicy, matplotlib, seaborn, etc.) in a jupyter notebook environment that allowed the team to conduct analysis as needed. - Performed the analysis of understanding an induced hypometabolic state on a non-hibernatning mice. - Used various analytical tools such as statistics, modeling, visualizations, and machine learning to further understand the data and extract meaningful information.Poster Presentation at NASA Ames Research Center Summer 2017 and 40th Annual International Conference of IEEE Engineering in Medicine and Biology Society 2018

May 2017 - Aug 2017

Test Engineer

- Used data to perform root-cause analysis that provided feedback to engineers; resulting in optimal performance of test fixtures and improved test yields- Performed software validation that ensures software performs as expected. Software validation was manually performed that tested both GUI's and functionality. Any bugs found are documented and provided feedback across both hardware and software engineering departments to ensure the highest quality of product- Ensured Pareto data for manufacturing process was within a margin of 98%- Facilitated the quality assurance process and inspection of final product with the production manager

Aug 2015 - Feb 2017

Associate Research Scientist

Moffett Field, California, Us

+ Main Project: Evaluate the performance of a hand-held Raman spectrometer for future NASA mission. (2012 - 2013) Mentor: Dr. Yuri GrikoTested the Pharma・ID handheld Raman spectroscopy device and its software to verify reliability for field use. Developed test cases and methodologies for qualifying the system to meet specifications. Some of the test cases include: - Recreating positions that yield the best results while modeling while having the restrictions an astronaut endures in space - Recreation of spectrums of known pharmaceuticals and know materials - Using known results of experiments and comparing to devices accuracy and performance + Day to Day: - Performed data analysis for research group; i.e. developed software tools, involved in modeling, and review literature data. - Assisted in laboratory experiences; gathered data, executed parts of experiments, created buffers and/or solutions.

Jun 2012 - Dec 2014
2 education records

Jason Mora education

Master Of Science - Ms, Applied Mathematics

California State University - East Bay

Bachelor Of Science (Bs), Mathematics, Minor In Computer Science

California State University - East Bay
FAQ

Frequently asked questions about Jason Mora

Quick answers generated from the profile data available on this page.

What company does Jason Mora work for?

Jason Mora works for Federal Home Loan Bank of San Francisco.

What is Jason Mora's role at Federal Home Loan Bank of San Francisco?

Jason Mora is listed as Associate Director, Data Science and Risk Analytics at Federal Home Loan Bank of San Francisco.

What is Jason Mora's email address?

AeroLeads has found 1 work email signal at @emodoinc.com for Jason Mora at Federal Home Loan Bank of San Francisco.

Where is Jason Mora based?

Jason Mora is based in San Jose, California, United States while working with Federal Home Loan Bank of San Francisco.

What companies has Jason Mora worked for?

Jason Mora has worked for Federal Home Loan Bank Of San Francisco, Emodo, California State University, Hayward, Nasa Ames Research Center, and Larson Automation.

How can I contact Jason Mora?

You can use AeroLeads to view verified contact signals for Jason Mora at Federal Home Loan Bank of San Francisco, including work email, phone, and LinkedIn data when available.

What schools did Jason Mora attend?

Jason Mora holds Master Of Science - Ms, Applied Mathematics from California State University - East Bay.

What skills is Jason Mora known for?

Jason Mora is listed with skills including C++, Data Analysis, Microsoft Office, Programming, Physics, Java, Strategic Thinking, and Research.

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