Data Analytics | Machine Learning | Data Science Portfolio
From SQL insights to ML predictions—transforming healthcare and business data into impact.
Turning Data into Clarity—From BI to Data Science
With a Master’s in Theoretical Physics and 14 years in supply chain analytics (P&G, HP), I bring a physicist’s rigor to data. Now a Senior BI Analyst in healthcare, I’ve built SQL-driven insights and now lead ML innovations.
Highlighted Project: Led a team to deliver our first NLP ML text classification project—using Python and logistic regression, we hit 82% accuracy on clinical notes, enhancing healthcare planning.
Led a healthcare BI team to classify clinical notes using Python, NLP, and logistic regression. Achieved 82% accuracy against a new labeled dataset, cutting manual sorting from weeks to days.
Tools: Python, scikit-learn, pandas
Metrics: Accuracy 82%, Precision 80%, Recall 88%
Built a Tableau dashboard to track visitor trends, page views, and subscriber stats for a media business—revealing traffic sources and peak times.
Tools: Tableau, SQL
Features: 5-day visit overview, section popularity, anomaly detection
Analyzed promotion effectiveness using Power BI—evaluated traffic, volume, and profit impact, uncovering patterns in low-margin promotions.
Tools: Power BI, SQL
Insights: 9 recurring promotions every 5-6 weeks
Exploring site-specific ML tweaks and ClinicalBERT tests—stay tuned!
Transforming Data into Insights—Blending BI and ML
Code for data processing and ML—built logistic regression for text classification.
Predict and decode patterns—delivered 82% accuracy on clinical notes.
Wrangle data with MS SQL Server, MySQL—prep for analytics and ML.
Craft dashboards with Power BI, Tableau—turn data into decisions.
Use SSIS for data pipelines—bridge raw data to insights.
Manage projects in sprints—fast, iterative wins.