Resume
Professional Experience
2023 - Present
Data Analyst
Self-Employed
Remote
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Developed Predictive Models: Created models to analyze customer churn and predict e-commerce purchases using machine learning algorithms like Lasso Regression, K-Nearest Neighbors, and Logistic Regression, achieving up to 87% accuracy.
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Data Analysis and Visualization: Conducted data cleaning, exploratory analysis, and PCA to uncover key insights from complex datasets. Designed interactive dashboards using Tableau to communicate findings effectively.
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Customer Segmentation and Market Analysis: Applied K-means clustering for customer segmentation and market basket analysis to identify cross-selling opportunities and enhance targeted marketing strategies.
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Healthcare Data Analytics: Analyzed hospital readmission data to identify trends and factors contributing to patient readmissions. Utilized ANOVA to examine relationships between complication risk levels and hospital stays, providing insights into improving patient care and resource allocation.
2022
Specimen Processor
Sunrise Medical Laboratories
Hicksville, NY
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Enhanced data entry accuracy by implementing improved systems for tracking patient information.
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Optimized specimen processing workflow, ensuring efficient handling and timely routing of laboratory specimens.
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Maintained data privacy and compliance, adhering to strict confidentiality protocols
2014 - 2016
Sports Instructor
District Institute of Recreation and Sports – IDRD
Bogotá, Colombia
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Developed and delivered motivational workshops on physical education, engaging students in healthy lifestyle activities.
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Increased student participation in sports and physical activities through customized programs and initiatives.
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Coordinated with educational institutions to organize sports events, promoting community involvement.
Education
2023 - 2024
Master of Science in Data Analytics
Western Governors University
Salt Lake City, UT
Relevant Courses:
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Data Mining: Implemented machine learning techniques, including K-means clustering, PCA, and association rule mining, to analyze complex datasets and extract actionable insights.
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Predictive Modeling: Developed predictive models using logistic regression and Lasso regression to forecast customer behavior and optimize business strategies.
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Exploratory Data Analysis: Conducted thorough data cleaning and exploratory analysis to identify key trends and patterns in large datasets.
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Logistic Regression Analysis: Built logistic regression models to predict the probability of occurring events.
2023
Certificate in Data Analytics
Thinkful
New York, NY
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Produced and presented professional projects and presentations from concept to completion focused on business forecasting, price modeling, and statistical analysis.
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Developed skillsets in data analytics systems including Pandas, Excel, PostgreSQL, Tableau and Python, as well as methodologies including dashboarding, performance tracking, data wrangling, cleaning, and analysis.
2019 - 2022
Bachelor of Science in Biomedical Sciences
University of Wisconsin
Milwaukee, WI
​Relevant competencies:
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Developed a strong foundation in health sciences and data-driven decision-making, focusing on analyzing healthcare data to improve patient outcomes and healthcare operations.
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Gained proficiency in data collection, statistical analysis, and evidence-based practices, preparing for roles in data analytics and healthcare informatics.
Professional skillset
Data Analysis & Interpretation
Statistical Modeling
Data Visualization
Predictive Analytics
Languages
Python
SQL
HTML
MATLAB
R
CSS
Software
Tableau
MySQL
PostgreSQL
Microsoft Word/Excel/PowerPoint/Outlook