Data Science Analysis, Accountant

Alexsandro Garcia

Winters, CA *******@*******.*** 530-***-****

Skills

• Data analytical/Handling skills: Statistical analysis, model building, data handling, multi-variable data analysis, Data cleaning

• Languages: R; (Proficient), Python; (Proficient) MATLAB: (Beginner)

• Software: Microsoft word Applications (Proficeint), Microsoft excel (Proficient), Microsoft word (Proficeint) Classes and Education

• Relevant Coursework: Regression analysis, Analysis of variance, Principles to Data Science, Probability, Non parametric statistics, Data and Web technologies for Data Analysis, Time-Series Analysis, Large Data Handling

(Data Science)

• Major : Statistics (Data Science Track)

• Education: UCSB 2020-2022, UCD 2024 - Present

Experience

Baseball/Softball Internship, UC Davis – Davis, CA January 2025 – Present

• Utilized real sports data from Synergy and Trumedia to compile scouting and analytical reports for both the softball and baseball teams.

• Analyzed offensive and defensive tendencies of opposing teams, providing actionable insights and strategic recommendations.

• Evaluated pitching performance for both teams, leveraging data from past games to anticipate opponents’ strategies and enhance game preparation for our own teams. Undergraduate Research, UC Davis – Davis, CA Apr 2025 – Present

• Research guided by Gelman & Pardoe’s (2006) work on "Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models"

• Performed a two-way ANOVA to assess the effects of floor level and country (and their interaction) on indoor radon levels using R

• Engaged in collaborative research with a team of undergraduate peers to investigate indoor radon levels using advanced statistical methods.

• Currently expanding the project using Bayesian multilevel modeling to analyze explained variance and pooling in hierarchical data.

Projects

Smartphone Project Smartphone Project.doc

• Conducted multi-variable linear and logistic regression analyses in R to assess the impact of brand, RAM, storage, color, and contract status on smartphone prices

• Led project coordination, integrating contributions from four team members and facilitating communication

• Developed data visualizations and managed model transformations for linear regression analysis Crop Yield Crop Yield.pdf

• Tested if there was any significant effect on crop yield, using different types of Fertilizer types and different plant densities on the overall crop yield in acres. Used R, google slides, and Powerpoint

• Analyzed the effects of fertilizer types and plant densities on crop yield using Two-Factor ANOVA in R, reporting factor effects and confidence intervals

Customer Personality Analysis Customer Personality.doc

• Conducted Principal Component Analysis (PCA) and K-Means clustering on a customer marketing dataset to identify high-value customer segments, reducing dimensionality of 27 features while preserving most of the data variance and clustering customers into distinct spending behavior profiles for targeted marketing strategies.

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