Lotus Insight Group Analytics
I use a Ph.D. in computational mathematics to translate messy data into decisions. Current engagements include medical-legal case summarization for a radiology expert witness and data strategy with a healthcare organization to provide cost-containment recommendations.
Start a conversationExecutive summaries of radiology, medical, and legal files. Rapid issue spotting, timelines, and clarity for attorneys, carriers, and expert witnesses.
Strategic analytics for self-funded plans, with a focus on exploring approaches such as PMPM analysis, utilization reviews, and identifying opportunities for improved efficiency.
From data wrangling to modeling and visualization: Python, SQL, and reproducible reporting for executives.
Condensing large volumes of medical and legal documentation into concise executive briefs with crafted chronology, key imaging excerpts, and standards‑of‑care references.
Evaluating strategies for self-funded plan analysis, including methods that may highlight steerage opportunities, reference-based pricing considerations, and coding patterns. Identifying potential areas for savings and improved plan design.
Equipped to help organizations streamline and validate complex claims and eligibility data in order to support underwriting and renewal processes. Currently exploring approaches to prepare and integrate claims and eligibility data in ways that can support underwriting and renewal negotiations.
Founder: Ph.D. in Computational Mathematics. Texas‑licensed Life & Health insurance agent. Former university professor turned practitioner focused on rigorous, plain‑English analytics.
Stack: Python (pandas, numpy, scikit‑learn), SQL, Excel/PowerQuery, LaTeX/Beamer, and clean HTML/CSS. Deliverables are designed to be presentation‑ready.
Send an email with a short description of your problem, goals, and data sources. I’ll reply with next steps and a lightweight plan.
Tip: include timeframes, stakeholders, and the kind of decision you need to make.