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Jessica Claire
, , 100 Montgomery St. 10th Floor
Home: (555) 432-1000 - Cell: - resumesample@example.com - -
Website, Portfolio, Profiles
  • https://www.linkedin.com/in/Jessica-Claire/
  • https://github.com/nClaire
Professional Summary

I have 2+ years of experience in Data Science.

I work for a software company in their Research and Development department, and my job entails working on a product from ideation to a MVP. This is a very full stack role, in which I need to pitch an idea to a VC team, get customer validation, and then build out the product

In this role I need to put on the hats of a Product Manager, Data Engineer, Software Engineer, and Data Scientist.

As a hobby I love to write blog posts on some of my personal projects, sharing my insights with the data science and analytics community

Skills
  • Python
  • SQL
  • Docker
  • AWS
  • CI/CD
  • DevOps
  • NLP
  • Optimization
  • Deep Learning
  • Timeseries
  • Analytics
  • Machine Learning
  • Git
  • Spark
  • Jenkins
  • Data Science
Work History
01/2021 to Current
Data Scientist Leidos Holdings Inc. Janesville, WI,
  • One of the lead developers for creating a pipeline optimization product that is able to enhance the capabilities of the company's enterprise product
  • Managed the UI/UX team in the frontend development of the project
  • Created models to predict failure of pipelines and duration of pipelines this reduced the execution time of pipelines for customers by about 20% and reduced pipeline failures by over 92%
  • Created a CI/CD pipeline that would check for issues using unit tests after every Github commit and automatically aggregate data from API calls on a daily basis
  • Parsed data from the logs of over 10.8 million pipeline runs to generate analytics and insights to customers by showcasing KPIs and metrics in a dashboard, further improving company's enterprise product
  • Pitched 2 of my own ideas to the "VC"s in the company which resulted in the ideas getting funded
  • Collaborated with internal stakeholders, identifying and gathering analytical requirements for customer, product and projects needs.
  • Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical and ML methods to assess and improve factors impacting cost and time of customers
03/2020 to 12/2021
Junior Data Scientist Deloitte Jacksonville, FL,
  • Processed big data with over 650 Mil records for financial institutions by imputing missing values, performing feature engineering and analysis, and aggregating data from multiple sources (Python, Pyspark, SQL)
  • Designed automated pipelines that deliver ranked lists of members to business consultants that increased conversion of customers with over 25% more precision
  • Converted existing pipelines to run in Docker containers and implemented cloud storage that improved the stability and speed of pipelines by an average of 36% (Docker, Python, S3)
  • Applied machine learning and statistical models that predicted if bank members are in financial distress with 88% precision (Python, R, Structural Equation Modeling, Confirmatory Factor Analysis)
  • Built baseline models for predicting the next best product for bank and credit union members to purchase (Python, SQL, Market Basket Analysis, Logistic Regression)
  • Worked with various AWS services including EC2, EMR, S3, and ECS
  • Applied statistical techniques to interpret key points from gathered data about customer's clients' habits
05/2018 to 01/2020
Data Analyst C.H. Robinson Worldwide, Inc. Sandy, UT,
  • Coordinated statistical data analysis, design and information flow.
  • Designed and developed schema data models.
  • Produced monthly reports that made understanding of insights easier through the use of visualizations
  • Transformed the data to prepare it for modeling
  • Analyzed the member data to find trends that showed what type of institutions want what kind of product
  • Developed database objects such as tables
  • Automatically compiled, evaluated and processed financial data from over 70 banks and credit unions decreasing transaction times between institutions by over 5 weeks
Accomplishments

    Kaggle Competition Gold Medalist (16th place)

    Kaggle

  • Worked with a team to build a model that predicts sales data of Walmart products across 3 different states and for 10 different stores
Education
Expected in 05/2019
Bachelor of Science: Computer Science And Math
University of Iowa - Iowa City, IA,
GPA:

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School Attended

  • University of Iowa

Job Titles Held:

  • Data Scientist
  • Junior Data Scientist
  • Data Analyst

Degrees

  • Bachelor of Science

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