By The Numbers
0%
Model Accuracy
0%
Efficiency Gain
0+
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.
Diabetes Modeling
Developed logistic & random forest models achieving 85% accuracy for early diabetes detection.
Suicide Forecast
Created ARIMA & Prophet forecasting models with R²=0.85 for public health intervention planning.
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.
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%.
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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