Julia Flash

Data Scientist

https://talent.gravityer.com/julia-flash

Amazon GenAI Specialist

AWS

Key Strengths

Experience in Python for data analysis (nltk-ngram-analysis project)
Exposure to Jupyter Notebook for data science workflows
Demonstrated interest in containerization technologies (Dockerfile, Openshift, IBM Cloud deployments)

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a mix of JavaScript-based web development, containerization, and a single data science-related project. While there is an explicit 'Data Scientist' role listed at AWS, the project portfolio does not strongly align with a senior Data Scientist profile, indicating a potential gap in practical, diverse data science project experience. The projects are primarily personal, which is good for initiative, but lacks team-based or complex enterprise-level data science work.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

industrialusecase

May 24, 2022 – May 24, 2022

industrialusecase — repository

View Project

strimzi-app

October 25, 2021 – November 2, 2021

YAML updates for strimzi

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testing-frontend

September 27, 2021 – September 27, 2021

Just testing API calls for DB2 outside of CORS crap/proxy

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tokyo_client

July 21, 2021 – July 26, 2021

tokyo_client — repository

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openshiftapp

July 12, 2021 – July 12, 2021

openshiftapp — repository

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backendServer

July 8, 2021 – July 8, 2021

a backend server pretty much

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Container-Basics-List

July 6, 2021 – July 6, 2021

Container-Basics-List — repository

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mqNodeApp

May 18, 2021 – May 24, 2021

Node example application using IBM MQ

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ibmcloud-nextjs-custom-server-express

December 6, 2019 – December 31, 2022

Next.js example app deployment to IBM Cloud.

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nltk-ngram-analysis

November 12, 2018 – August 25, 2020

For a client demonstration of collecting important terms used repeatedly in natural language of workers to understanding about issues presented in operations.

View Project

Key Strengths

Experience in Python for data analysis (nltk-ngram-analysis project)
Exposure to Jupyter Notebook for data science workflows
Demonstrated interest in containerization technologies (Dockerfile, Openshift, IBM Cloud deployments)

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.

Julia Flash

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit