Luis Ruiz
Data Science Fellow at Springboard- Claim this Profile
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Topline Score
Bio
Credentials
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Analyze Datasets and Train ML Models using AutoML
DeeplearningJun, 2022- Oct, 2024 -
Data Science Career Track
SpringboardMay, 2022- Oct, 2024 -
Big Data Fundamentals with Pyspark
DataCamp -
Cleaning Data in Python
DataCamp -
Data manipulation with Pandas
DataCamp -
Feature Engineering for Machine Learning in Python
DataCamp -
Intermediate Python
DataCamp -
Intermediate SQL
DataCamp -
Introduction to Programming Using Python
DataCamp -
Introduction to SQL
DataCamp -
Joining Data in SQL
DataCamp -
Master SQL For Data Science
Udemy: Online Courses -
Supervied Learning with scikit-learn
DataCamp -
Unsupervised Learning in Python
DataCamp
Experience
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Springboard
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United States
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E-Learning Providers
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700 & Above Employee
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Data Science Fellow
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Nov 2021 - Present
600 hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastered skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning. Mini-Projects Completed: Three Exploratory Data Analysis projects Linear & Logistic Regression Time Series Analysis Recommender Systems Naive Bayes Customer segmentation using clustering MapReduce with Spark Topic Covered: Programming in Python Software engineering principles Data Wrangling Inferential Statistics Machine Learning Data at Scale Data Storytelling Recommender Systems Time Series Analysis Social Network Analysis Show less
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Charter Communications
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United States
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Telecommunications
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700 & Above Employee
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Data Analyst
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Dec 2021 - Aug 2023
• Support a variety of analytical solutions by conducting complex data analysis and detailed reporting. - Create and produce forecasts, reports, ad hoc requests, and dashboards by integrating data from multiple sources to produce data elements. - Provide insights to determine operational impact, trends and opportunities through detailed data interpretation and results analysis. - Investigated connections between data sources in order to validate sensitive data for Spectrum enterprise level customers/accounts. - Utilized Salesforce, Granite, Remedy, Postman, and MicroStrategy to identify core commonalities between data points to merge into an original Spectrum database and validation tool. -Provided feedback and suggestions to the development team to enhance the design and functionality of the validation tool. Show less
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Education
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University of Colorado Boulder
Master's degree, Data Science -
Metropolitan State University of Denver
Bachelor's degree, Mathematics and Computer Science -
Springboard
Data Science