Fletcher Stump Smith Email & Phone Number
@creditkarma.com
4 phones found area 415
LinkedIn matched
Who is Fletcher Stump Smith? Overview
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Fletcher Stump Smith is listed as Machine Learning Engineer at Credit Karma at Credit Karma, a company with 501 employees, based in Albany, California, United States. AeroLeads shows a work email signal at creditkarma.com, phone signal with area code 415, and a matched LinkedIn profile for Fletcher Stump Smith.
Fletcher Stump Smith previously worked as Senior Machine Learning Engineer at Credit Karma and Machine Learning Engineer at Credit Karma. Fletcher Stump Smith holds Master Of Arts (Ma), Mathematics from Uc San Diego.
Email format at Credit Karma
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AeroLeads found 1 current-domain work email signal for Fletcher Stump Smith. Compare company email patterns before reaching out.
About Fletcher Stump Smith
Full stack Machine learning Engineer with experience processing data, training models, building machine learning pipelines, and developing production services which utilize ML. Well versed in with functional programming developing professionally in Scala, Python and Ruby. Has harnessed Apache Spark/SparkML and Apache airflow to the build automated ETL and model training. Built and managed deployments on Amazon Web Services (AWS), Google Cloud, and VMware vSphere.
Listed skills include Data Science, Python, R, Machine Learning, and 16 others.
Fletcher Stump Smith's current company
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Fletcher Stump Smith work experience
A career timeline built from the work history available for this profile.
Machine Learning Engineer
Software Engineer: Machine Learning Frameworks
- Scala, CoreNLP, OpenCV, Mxnet, AWS, Puppet, JenkinsOCR Project:
- Working on system for extracting information from financial documents
- Maintaining pipeline for hosting deep learning models used in text detection, optical character recognition, and identification of key fields of on customer serving API
- Building tests and maintaining code quality, refactoring for ease of maintainability and extensibility
- Managing and automating deploymentsEntity Detection:
- Building framework for identifying key entities from unstructured text documents.
Data Scientist / Machine Learning Engineer
- Spark, SparkML, Scala, Ruby, Rails, Sidekiq, Airflow, Python.
- Created predictive models for core product.
- Created infrastructure for ML pipeline to ensure models were up to date and performing correctly
- Deployed machine learning models and supported data infrastructure.
- Made improvements to production system, in order to incorporate data science goals and improve performance.
- Replaced batch process with continuous process for near real-time content.
Data Scientist / Nlp Engineer
- Deployed a Postgres database to AWS for storing and querying data from a variety of data sources used by data science.
- Built a text parsing module for identifying section on varying textual data. Developed a machine learning model and data labeling framework for identifying section headers.
- Wrote unit tests and maintained a modular code base integrating data-science processes.
Data Science Intern
- Did natural language processing (NLP) and document classification using Naive Bayes with scikit-learn and sparse vector representations (Scipy).
- Wrote code for storing and processing text data, using Python and SQLite.
- Performed continuous testing and refactoring of existing data science code.
Colleagues at Credit Karma
Other employees you can reach at creditkarma.com. View company contacts for 501 employees →
Billy White
Colleague at Credit Karma
Chicago, Illinois, United States, United States
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SD
Stephanie Dukes
Colleague at Credit Karma
San Francisco, California, United States, United States
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RK
Ryan Kort
Colleague at Credit Karma
San Francisco, California, United States, United States
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RN
Rob Nagle
Colleague at Credit Karma
San Francisco, California, United States, United States
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DM
Daniel Mceleney
Colleague at Credit Karma
Charlotte Metro, United States
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DR
Denise Ramirez
Colleague at Credit Karma
Charlotte, North Carolina, United States, United States
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XL
Xinyu Liu
Colleague at Credit Karma
San Francisco Bay Area, United States, United States
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NM
Neil Mccarthy
Colleague at Credit Karma
San Francisco Bay Area, United States, United States
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VS
Vaibhavi S.
Colleague at Credit Karma
Charlotte, North Carolina, United States, United States
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RM
Ryan Mcneil
Colleague at Credit Karma
Charlotte, North Carolina, United States, United States
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Fletcher Stump Smith education
Master Of Arts (Ma), Mathematics
Master Of Science (Ms), Data Science
Bachelor Of Science (Bs), Mathematics
Frequently asked questions about Fletcher Stump Smith
Quick answers generated from the profile data available on this page.
What company does Fletcher Stump Smith work for?
Fletcher Stump Smith works for Credit Karma.
What is Fletcher Stump Smith's role at Credit Karma?
Fletcher Stump Smith is listed as Machine Learning Engineer at Credit Karma at Credit Karma.
What is Fletcher Stump Smith's email address?
AeroLeads has found 1 work email signal at @creditkarma.com for Fletcher Stump Smith at Credit Karma.
What is Fletcher Stump Smith's phone number?
AeroLeads has found 4 phone signal(s) with area code 415 for Fletcher Stump Smith at Credit Karma.
Where is Fletcher Stump Smith based?
Fletcher Stump Smith is based in Albany, California, United States while working with Credit Karma.
What companies has Fletcher Stump Smith worked for?
Fletcher Stump Smith has worked for Credit Karma, Workday, Airpr, and Bold.
Who are Fletcher Stump Smith's colleagues at Credit Karma?
Fletcher Stump Smith's colleagues at Credit Karma include Billy White, Stephanie Dukes, Ryan Kort, Rob Nagle, and Daniel Mceleney.
How can I contact Fletcher Stump Smith?
You can use AeroLeads to view verified contact signals for Fletcher Stump Smith at Credit Karma, including work email, phone, and LinkedIn data when available.
What schools did Fletcher Stump Smith attend?
Fletcher Stump Smith holds Master Of Arts (Ma), Mathematics from Uc San Diego.
What skills is Fletcher Stump Smith known for?
Fletcher Stump Smith is listed with skills including Data Science, Python, R, Machine Learning, Sql, Natural Language Processing, Amazon Web Services, and Postgresql.
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