Raquel Rosa
About Raquel Rosa
Raquel Rosa is a Data Scientist at Cinch Home Services in Boca Raton, Florida, where she has worked since 2019. She holds a Master's Degree in Computer Science and has experience in machine learning, data mining, and model development.
Work at Cinch Home Services
Raquel Rosa has been employed as a Data Scientist at Cinch Home Services since 2019. In her role, she focuses on data analysis and the application of machine learning techniques to enhance service offerings. Her work is based in Boca Raton, Florida, where she contributes to the company's data-driven decision-making processes.
Previous Experience at JetSmarter
Prior to her current position, Raquel Rosa worked as a Marketing Data Analyst at JetSmarter from 2018 to 2019. During her eight months there, she applied her analytical skills to support marketing initiatives and optimize data usage within the organization, contributing to strategic marketing decisions.
Education and Expertise
Raquel Rosa holds a Master’s Degree in Computer Science from Florida Atlantic University, which she completed from 2016 to 2018. She also earned a Big Data Analytics Certificate in Computer Science from the same institution, studying Data Mining and Machine Learning from 2015 to 2017. Additionally, she obtained a Bachelor of Science in Computer Science from Florida Atlantic University from 2007 to 2009.
Machine Learning and Data Analysis Skills
Raquel Rosa has developed a strong foundation in machine learning and data analysis. She has created a comprehensive manual for the LexisNexis HPCC system’s Machine Learning library, detailing model implementations. Her experience includes developing and testing classification models such as Naive Bayes, Logistic Regression, and Support Vector Machines. She has also utilized various machine learning algorithms, including Association Rule Mining and Deep Learning.
Text Mining and Preprocessing Experience
In her data science projects, Raquel Rosa has conducted extensive text preprocessing and mining tasks. These tasks include tokenization, stop words removal, and tf-idf calculation. She has explored regression techniques, including Polynomial and Ordinary Least Squares, enhancing her analytical capabilities in handling complex data sets.