Detail-oriented Data Analyst Apprentice with a background in statistical analysis, data mining, and visualization. Committed to using data insights to support decision-making and improve operational efficiency, with a focus on accuracy and interpretative skills.
Bachelor of Science in Data Science
Greenfield University, Greenfield, TX
August 2051: Expected Graduation: May 2055
Applied Statistics and Probability Theory
Data Mining and Machine Learning Techniques
Predictive Analytics and Forecasting
Data Visualization with Tableau and Power BI
Database Management with SQL and NoSQL
Data Analysis: Proficient in SQL, Python (Pandas, NumPy), and R for statistical analysis.
Visualization: Skilled in Tableau, Power BI, and creating compelling visuals that tell a data story.
Machine Learning: Experience with regression, clustering, and classification models using Python’s Scikit-Learn library.
Communication: Capable of explaining complex data insights in clear, actionable terms for stakeholders.
Cleaned and preprocessed large datasets, enhancing data quality for accurate insights and saving 15% on data processing time.
Created interactive dashboards that visualized key metrics, supporting data-driven decisions for project teams.
Conducted trend analysis, providing valuable insights that helped refine marketing strategies.
Retail Sales Data Analysis: Analyze sales trends to identify seasonal patterns and improve forecasting accuracy for stock levels.
Customer Satisfaction Dashboard: Developed an interactive Tableau dashboard that highlighted survey responses, leading to actionable insights for customer service improvements.
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