Molecular biologist and life-sciences researcher → data scientist → business analytics.

My background combines clinical and molecular diagnostics, research, and analytics. I use Python, SQL, statistics, and visualization to frame questions, work with data, and communicate bounded findings clearly. My public portfolio shows completed projects and coursework; it does not represent employer or client data.

I currently work as Founder and Principal at Data Design Dynamics, where I create business website analytics reporting systems to support measurement and decision-making. I have also implemented privacy-conscious GA4 reporting, custom key events, UTM attribution, funnel analysis, and visitor-journey reporting. Advertising analytics and the development of a targeted Google Ads campaign are in progress; no campaign performance results are claimed here.

Python · pandas · NumPy · scikit-learn · statsmodels · lifelines · R · SAS · SQL / SQLite · matplotlib · seaborn · Plotly / Dash · Folium · BeautifulSoup · Jupyter · BigQuery

• Marketing Measurement Decision Studio — governed GA4 funnel, cohort, attribution, and conversion-ranking analysis with typed API contracts, a responsive evidence dashboard, and explicit privacy and metric boundaries. Uses public-obfuscated and synthetic data rather than client data.
• CKD Launch Intelligence — public-data healthcare analysis with survey-weighted indicators, leakage-controlled model comparison, source-specific landscapes, typed API contracts, and a responsive evidence dashboard. Synthetic journey methods are clearly separated from public evidence.

• Clinical-Trial Survival Analysis — completed portfolio project using survival-analysis methods across Python, R, and SAS; it is not professional clinical-study work.
• Experimental Design & Statistical Inference — completed synthetic-data project covering prospective power, assumption diagnostics, ANOVA, Welch sensitivity, multiplicity-controlled contrasts, and effect-size uncertainty.
• Dose-Response IC50 Analysis — completed synthetic-data dose-response modeling project with 4-parameter-logistic fitting and uncertainty reporting.
• Differential Gene-Expression — completed portfolio project using differential-expression methods with synthetic data labeled where applicable.

• Hospital Readmission Prediction — portfolio project: 30-day hospital-readmission modeling on 101,766 encounters across 130 hospitals using leakage-safe preprocessing and classification evaluation. This is not employer data, patient-care work, or a clinical deployment.
• Medical-Sales Churn & Revenue Forecasting — synthetic B2B medical-device portfolio project for churn modeling and forecasting; data, customers, and outcomes are not from an employer or client.

• Predicting SpaceX Falcon 9 Landings — IBM applied capstone using API/web-scraping collection, SQL EDA, visualization, and classification-model comparison.
• Stock Market Data Analysis — coursework project using public market-data extraction and exploratory analysis; not investment advice.
• Weather Time-Series Forecasting — coursework project using time-series forecasting with train/validation/test splitting.
• Geospatial Crime Mapping — coursework project creating interactive maps of incident data; mapped counts do not establish causation or safety.

BS in Neurobiology, UC Irvine · IBM Data Science Professional Certificate (completed February 27, 2025) · Google Developer Program member · AI Leadership skill badge in progress

📫 Reach me: admin@datadesigndynamics.org