Shubham
Ralli

Healthcare practices lacked a structured way to monitor and evaluate patient call interactions. Call logs were fragmented and manually reviewed, which made it difficult to track call volume, identify sentiment trends, or detect patient communication issues across multiple practices.

Designed an automated pipeline to capture and process call log data in real time. Used scraping and event-driven workflows to extract call data, applied sentiment analysis to patient interactions, and structured the output for repeatable reporting across practices.

Built an end-to-end call analytics system that ingested call logs, performed sentiment analysis, and delivered live dashboards through reporting tools. The setup enabled centralized tracking of call activity and patient sentiment across 15+ practices without manual intervention.

The safety lead was pulling FAA incident data manually every week — 15 years of records across multiple tables. Reports were late, and patterns got missed until it was too late to act.

Designed an operational dashboard on the full 15-year FAA dataset with incremental refresh so it stayed current without full reloads. Added row-level security filters so different teams only saw relevant data. The safety lead could now spot incident patterns a full week earlier.

Healthcare providers manually enrolled patients into education and follow-up programs across disconnected systems. That caused delays, inconsistent patient outreach, and heavier administrative workload.

Designed and implemented a workflow automation solution integrated directly into multiple EHR systems. Streamlined patient enrollment into education funnels with a single click, coordinated backend communication workflows, and ensured HIPAA-compliant handling of sensitive data.

Built a Chrome-based platform that let providers enroll patients into automated education funnels in one click, trigger personalized outreach through engagement platforms, and monitor patient engagement consistently across clinics.

To this day, there is no systematic source for product-specific competitor pricing. Pricing decisions were made based on intuition or last year’s numbers, leaving revenue opportunities unquantified and inconsistent across multiple products and practices.

Designed and implemented a system to capture live pricing from competitor websites such as Costco, 1-800 Contacts, and ABB across multiple products and practices. Built a centralized pipeline that processed this data and surfaced actionable price recommendations, enabling data-driven pricing decisions.

Enabled real-time competitive pricing visibility across multiple networks, reduced guesswork by surfacing price optimization opportunities instantly, and supported pricing decisions for multiple practices and products to improve revenue capture.

Clinicians spent 5+ minutes per patient manually sending documents via email or fax from the EHR. Across dozens of patients each day, that created hours of lost time and more document errors.

Led a team of 4 to design and implement an automated workflow integrated into the EHR. Streamlined document distribution and backend operations on cloud infrastructure, creating a process that aligned with clinician workflows and minimized manual effort.