By The Numbers

0%

Model Accuracy

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Efficiency Gain

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Analyses Automated

$0K

Monthly Savings

Featured Projects

Sentiment Classification

Built and deployed transformer models on 1M+ tweets with 95% accuracy for real-time sentiment analysis.

Python TensorFlow NLP

Diabetes Modeling

Developed logistic & random forest models achieving 85% accuracy for early diabetes detection.

R scikit-learn Healthcare

Suicide Forecast

Created ARIMA & Prophet forecasting models with R²=0.85 for public health intervention planning.

Prophet Time‑Series Analytics

Professional Experience

Data Analyst @ Red Cross

Automated 500+ monthly receipt analyses using Azure PromptFlow, saving 10 hours/week and reducing manual effort by 85%, cutting costs by $10K/month.


Created Tableau dashboards for disaster response KPIs, boosting operational efficiency by 15% and aiding cross-functional decision-making.

SQL Tableau Automation

Instructional Assistant @ UH

Conducted 30+ sessions for 50+ grad students on regression, hypothesis testing, Bayesian inference, and statistical computing with real-world data.


Led labs & provided personalized mentoring, resulting in 100% course completion and 85% scoring above 90%.

Education Python Mentoring

About Me

Data Analyst experienced in AI-driven solutions for public health, education, and NLP. Expertise in automating workflows, building ETL pipelines, developing dashboards, and deploying ML models (85%–95% accuracy). Skilled in hypothesis testing, regression modeling, and communicating complex insights to both technical and non-technical audiences.

Education

University of Houston
Master of Science in Statistics and Data Science
Aug 2023 – Dec 2024
GPA: 3.74/4.0
Houston, TX

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