Data Analyst Portfolio
Professional Summary
Data Analyst with a Master’s in Mathematical Sciences and a strong foundation in statistical modeling, data visualization, and public-sector analytics. Skilled in Python, SQL, Tableau, R, SAS, and STATA, with experience analyzing complex datasets across public health, education, and environmental domains. Adept at translating technical insights into actionable strategies for institutional growth and policy impact.
Projects
U.S. Food Access Analysis (2010 Data)
Feb 2025 – May 2025 | Savvy Coders
Capstone project analyzing USDA and County Health Rankings data to explore socioeconomic drivers of food insecurity.
- SQL for data wrangling and aggregation across 3,000+ counties
- Python (Pandas, NumPy, Matplotlib) for EDA and correlation analysis
- Tableau dashboard visualizing disparities by geography and demographics
- Found strong correlations between SNAP participation and poverty (+0.69), and child poverty and poor health (+0.71)
- Concluded geographic proximity alone is insufficient to define food insecurity
Skills: SQL · Python · Tableau · Data Visualization · Public Health Analytics
GitHub Repo | Tableau Dashboard
Bioaccumulation in Pueblo Reservoir
Jan 2024 – Jul 2024 | University of Minnesota Duluth
Analyzed trace element contamination across trophic levels in aquatic ecosystems downstream of historic mining sites.
- Cleaned and normalized environmental data using Box-Cox transformation
- Applied PCA, Factor Analysis, and K-means clustering in R
- Found evidence of biomagnification with policy implications for ecological risk
- Created ggplot2 visualizations for non-specialist stakeholders
Skills: R · PCA · Cluster Analysis · Environmental Analytics · Data Cleaning · Statistical Modeling
Diabetes Prediction Model
Jan 2024 – May 2024 | University of Minnesota Duluth
Developed machine learning models to predict diabetes risk using clinical data.
- Preprocessed Pima Indians dataset using feature scaling and PCA
- Built logistic regression and neural network models in Python (Scikit-learn)
- Achieved 85% accuracy and strong ROC AUC performance
- Compared model interpretability and performance across techniques
Skills: Python · Scikit-learn · Logistic Regression · PCA · Neural Networks · Predictive Modeling
Green Fertilizer Facility Optimization (MUDAC 2024 Hackathon)
Apr 2024 | University of Minnesota Duluth
Collaborated with team to identify optimal locations for eco-friendly fertilizer facilities in Minnesota.
- Used R for regression modeling and KNN imputation
- Integrated geospatial and economic data to inform site selection
- Presented findings to industry panel with actionable recommendations
Skills: R · Regression · KNN · Predictive Analytics · Team Collaboration · Data Integrity
Postpartum Hemorrhage Outcomes Analysis
Aug 2023 – Dec 2023 | University of Minnesota Duluth
Evaluated clinical outcomes based on oxytocin administration routes using SAS and Power BI.
- Conducted t-tests, chi-square tests, and multiple regression modeling
- Built Power BI dashboard to visualize Shock Index and hemorrhage risk
- Identified key predictors of postpartum hemoglobin levels
Skills: SAS · Power BI · Regression · Biostatistics · Data Visualization · Clinical Analytics
Maternal Leave Policy Impact (Hackathon)
Jan 2024 – Mar 2024 | University of Minnesota Duluth
Analyzed 6M+ employment records to assess impact of paid maternal leave on hiring rates of female IT workers in India.
- Used SAS and R for statistical modeling and trend analysis
- Found significant post-policy increases in female hiring in urban tech hubs
- Delivered policy recommendations based on rigorous pre/post comparisons
Skills: SAS · R · Policy Analysis · Gender Equity · Statistical Inference · Data Visualization
Suicide Rate Analysis by Socioeconomic Factors
Jan 2023 – May 2023 | University of Minnesota Duluth
Conducted cross-country regression analysis using STATA to identify links between life expectancy, GDP, and suicide rates.
- Built predictive models and validated statistical outputs
- Found strong associations between healthcare quality and suicide risk
- Presented findings for public health policy consideration
Skills: STATA · Regression · Econometrics · Mental Health Analytics · Statistical Modeling
Professional Experience
Adjunct Instructor – Mathematics & Statistics
Saint Louis University | Aug 2025 – Present
- Teach Intermediate Algebra and Introductory Statistics
- Use Excel and LMS tools to track student performance and identify trends
- Support curriculum development and provide individualized feedback
Adjunct Instructor – Statistics
St. Charles Community College | Aug 2025 – Present
- Teach statistical methods including regression, ANOVA, and hypothesis testing
- Guide students in Excel-based analysis and data interpretation
- Emphasize data literacy and real-world applications
Graduate Teaching Assistant
University of Minnesota Duluth | Sep 2021 – Aug 2024
- Supported instruction in Calculus, Linear Algebra, and Differential Equations
- Led computational labs using Mathematica and analyzed student performance data
- Maintained academic records and collaborated on curriculum design
Education
- MS in Mathematical Sciences (Statistics Focus) – University of Minnesota Duluth – Jul 2024
- BA in Mathematical Sciences & IT – Westminster College, MO – May 2018
Certifications
- Savvy Coders Data Analytics + Python Bootcamp – May 2025
- ICAgile Certified Professional (ICP) – May 2025
Technical Skills
- Python · SQL · Tableau · R · SAS · STATA · Excel · Power BI
- Regression · ANOVA · PCA · Clustering · Hypothesis Testing
- Machine Learning · Neural Networks · Logistic Regression
- Git/GitHub · Agile · Jira · Data Cleaning · Data Visualization
Resources
- SQL Scripts for Food Access Analysis
- Coursework Summary