From transaction records to a sales overview.
An Excel Power Query workflow and Power BI report separating sales, cancellations, and records needing review.
539,392 transaction lines£9.77M reported net sales · Historical UK retail data
01 / Selected work
Questions worth answering.
Explore the question, approach, findings, and next decision.
Where do appointment no-shows concentrate?
A PostgreSQL and Tableau analysis of booking lead time, age, and SMS receipt in historical appointment data.
110,521 appointments analyzed20.19% no-show rate · Reproducible SQL workflow
What drives medical insurance costs?
Exploring how smoking, age, and BMI relate to insurance charges through regression analysis.
0.807 test R²$4,177 mean absolute error
Making customer churn easier to explore.
A Tableau dashboard summarizing 10,000 customers, churn, retention, and customer segments.
10,000 customers26.5% churn in the displayed dataset
Housing classification / Held-out test results
84.3%
Accuracy · 1,400 test homes
6 predictors · 0.931 ROC-AUC
Which homes fall above the price reference?
A logistic regression case study comparing full and reduced models with training-only preprocessing.
6 predictors · 0.931 ROC-AUCCompared with a 51.86% accuracy baseline
02 / Professional experience
Experience behind the analysis.
Healthcare context, alongside technical training.
One year working with cataract surgery data.
My professional background includes working with cataract surgery data in an ophthalmology practice. That experience connects my analytical training to the clinical setting behind the records.
Professional experience · Separate from the portfolio projects above
Hands-on ophthalmic care.
As an ophthalmic technician, I work with patient documentation in Epic and support diagnostic testing and clinical workflows. I bring familiarity with how healthcare information is collected and used.
Ophthalmic Technician · September 2025–present
03 / A little context
Healthcare roots.
Analytical mindset.
My background started with people: a B.S. in Health Sciences from DePaul University and hands-on work in ophthalmology. That experience taught me to pay attention to details, ask thoughtful questions, and understand the real situations behind a record.
I hold an M.S. in Data Analytics from Western Governors University and bring one year of experience working with cataract surgery data at Arlington Eye Physicians. My graduate projects span data preparation, statistical modeling, dashboards, and model deployment.
I’m interested in opportunities where I can combine that healthcare perspective with clear analysis and practical problem-solving.
Explore & analyze
Python · Pandas · NumPy · SQL
PostgreSQL · Statistical analysis
Model & communicate
scikit-learn · Regression · Tableau · Power BI
Data visualization · FastAPI
04 / Let’s connect
Good questions start
great conversations.
I’m seeking data analyst, healthcare analyst, and business analyst opportunities in the Chicago area or remotely. If your team needs someone who understands healthcare and can explain their analysis clearly, I’d love to connect.