📄 NSLS Letter of Recommendation

I’m a data analyst with a master’s in data analytics and a background in teaching. I enjoy exploring data, uncovering patterns, and transforming them into insights that people can act on. At the core, my work is about turning complex information into clear stories and practical solutions that drive impact.

Outside of data, you’ll find me experimenting in the kitchen, running or hiking outdoors, and recharging through mindfulness. Staying active and grounded gives me the calm, curiosity, and determination I carry into my professional work.

• Data Analysis & Exploration: Statistical modeling, forecasting, hypothesis testing, and data cleaning with Python, R, and Excel

• SQL & Databases: Writing complex queries, joins, aggregations, and optimizing relational database performance

• Data Visualization & BI: Building interactive dashboards and reports in Tableau, Power BI, and Excel to inform decision-making and storytelling

• Machine Learning & Predictive Analytics: Applying supervised learning, regression, and classification models to solve real-world problems and support risk analytics

• ETL & Data Pipelines: Extracting, transforming, and loading data to ensure accuracy, integrity, and scalability in analytics workflows

• Business & Strategy: Dashboard design, business intelligence reporting, data governance, compliance, problem-solving, and stakeholder communication

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• Predicted loan defaults using logistic regression under the CRISP-DM framework.
• Delivered insights to reduce default exposure and support credit risk strategy.

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• Built a k-NN classification model to replace Excel-based scoring.
• Outlined a scalable deployment roadmap with BI dashboards and cloud workflows.

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• Applied PCA + PRIDIT scoring to flag high-risk insurance policies.
• Improved fraud detection efficiency and reduced auditing costs.

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• Modeled customer behavior to optimize acquisition and retention.
• Produced actionable segments and dashboards to boost marketing ROI.

• IBM, Data Science Professional Certificate – 2023
• IBM, Machine Learning with Python (with Honors) – 2024
• Microsoft, Analyzing & Visualizing Data with Power BI — 2024
• AICPA, Applying Data Analytics to Business Performance – 2025

M.S. Data Analytics — Southern New Hampshire University (2026)

• GPA: 3.93 | Summa Cum Laude (Highest Honors)
• National Society of Leadership and Success Member

B.S. Psychology, Minor in Biology — University of Houston (2021)

• PSI CHI International Honor Society

👉 Looking to connect with teams that value clear communication and strong data-driven insights.

✨ Thank you for stopping by my profile today — I wish you a beautiful day!