Ezra B
@ezrab
Data Scientist focused on predictive models, EDA, and business-ready machine learning insights.
ZimbabweWhat I'm looking for
I’m a Data Scientist skilled in Python, SQL, machine learning, statistical analysis, and data visualization. I build and optimize predictive models for classification and prediction tasks, turning messy data into actionable business insights.
At Sephora, I cleaned, analyzed, and transformed large datasets using exploratory data analysis (EDA) and feature engineering. I also developed data visualizations and reports to support decision-making, and evaluated models with accuracy, precision, recall, F1-score, RMSE, and R².
Before that, as a Data Analyst at Sephora, I extracted and analyzed data with SQL and Python, creating dashboards and automated reports using visualization tools. I’m especially motivated by work like Customer Churn Prediction and Sales Forecasting Model projects, where I apply regression, classification, clustering, and predictive analytics to find trends and improve performance.
Experience
Work history, roles, and key accomplishments
Built and optimized machine learning models for prediction and classification tasks. Cleaned and transformed large datasets, performed exploratory/statistical analysis, and produced data visualizations and reports to support decision-making.
Extracted and analyzed data using SQL and Python to support business performance. Created dashboards and automated reports, identifying trends and patterns to drive improvements.
Education
Degrees, certifications, and relevant coursework
Machine Learning Certification
Machine Learning Certification, Machine Learning
Completed a machine learning certification program.
Stanford University
Bachelor of Science, Leadership & Public Administration
Earned a BSc in Leadership and Public Administration from Stanford University.
Google Advanced Data Analytics Certificate, Advanced Data Analytics
Completed the Google Advanced Data Analytics Certificate.
Availability
Location
ZimbabweAuthorized to work in
Job categories
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