Over 5 years of experience supporting US healthcare operations through accurate clinical documentation, data quality, and physician workflows. I'm now building on that foundation with SQL, Python, and analytics to transition into Clinical Data Operations • Healthcare Analytics • Data Quality • SQL • Python
Over the past 5+ years, I've supported US telehealth physicians in real time across 7+ specialties and 7+ EHR platforms, including Athenahealth, Kareo, NextGen, Allscripts, Practice Fusion, and AdvancedMD.
I'm now formalizing the analytical half of that skill set through an Advanced Data Science and AI program, with a completed Python certification and applied SQL work demonstrated through hands-on projects. GCP ICH E6(R3) certification already in hand, familiar with EDC, CTMS, and eTMF terminology. B.Pharm from Gautham College of Pharmacy, Bengaluru, 2020.
Built a text classification pipeline on 2,500+ real clinical notes to predict medical specialty, using TF-IDF and Logistic Regression. Used SQL queries against a SQLite database for per-specialty error analysis, and manually compared LLM-assisted pre-labeling against the model's predictions to study labeling consistency and ambiguity handling.
View Project →Engineered a relational SQLite database from raw structured and semi-structured datasets (100,000+ patient records). Developed complex SQL queries to audit RCM payment statuses, analyze provider workloads, and expose synthetic data anomalies (e.g., 1:1 staffing ratios, identical clinical distributions). Translated technical outputs into actionable business insights.
View Project →Analyzed retail sales data using Python to identify monthly sales trends, top-performing products, peak purchase hours, and city-wise revenue. Applied data cleaning, exploratory data analysis, and visualization techniques using Pandas and Matplotlib.
View Project →Continuously exploring new datasets to build impactful projects at the intersection of clinical operations, data analytics, and machine learning. Stay tuned for what's next!