Krishna Praharshitha
Devi K — Healthcare IT
& Analytics
Healthcare IT and analytics graduate with cardiac operating-theatre training and Hospital Information System experience, working with SQL, Python, Power BI and Tableau.
Where clinical care
meets data.
Healthcare IT and analytics graduate with a background in Perfusion Technology, over a year of cardiac operating-theatre training, and Hospital Information System experience from my product internship at KareXpert. I combine a clinician's eye for patient impact with a growing toolkit in Python, SQL and machine learning to design data-informed solutions for real healthcare problems.
Clinical foundations
Hands-on cardiac perfusion training that shapes how I think about healthcare workflows, patient safety and process improvement.
- Conducted a Summer Training Programme (STP) examining the scope and extent of AI-driven automation within KareXpert's Hospital Information System (HIS), a digital healthcare SaaS platform.
- Focused the study on three core modules: Patient Registration / Admission-Discharge-Transfer (ADT), Electronic Medical Records (EMR) / Clinical Documentation, and Billing / Revenue Cycle Management (RCM).
- Compiled findings into a report evaluating AI automation opportunities across the HIS platform.
- Assisted cardiac perfusion procedures as part of the surgical team.
- Supported patient documentation and identified opportunities for workflow improvements.
- Assisted perfusion specialists during cardiac surgeries.
- Gained firsthand exposure to critical-care clinical operations.
Academic path
Selected work
A mix of published GitHub work and healthcare product concepts spanning analytics, forecasting and clinical workflow design.
Forecastability of India's Disease Surveillance Data — Telemedicon 2026
Abstract with Renuka Prasanthi Dandi, submitted to Telemedicon 2026, Jaipur. Compared Prophet, SARIMA and linear models on 44,952 IDSP outbreak records: median forecast error rose from 77% nationally to 105% at district level, and a linear trend was never beaten. Built a React and D3 dashboard of 16 diseases across states and districts.
Survival Analysis of Chlorhexidine
Applied Kaplan-Meier estimators and Cox proportional-hazards regression in Python to study time-to-event outcomes in a clinical dataset.
Heart Attack Risk Dashboard
Built an interactive Tableau dashboard to visualize and communicate patient-level cardiac risk factors for clinical decision support.
SAARTHI — Rural Healthcare Internship Platform
Developed a web platform to streamline recruitment and management of MBBS interns in rural healthcare facilities, improving intern allocation efficiency, tracking, and administrative coordination across healthcare centres.
PRANA — Panchakarma Care Coordination Platform
Designed a digital Panchakarma care coordination system enabling real-time therapy tracking, treatment planning, and automated patient reminders, with role-based dashboards for structured health data management.
WholePerf Healthcare Platform
Built a web app for cardiac perfusion teams: BSA, blood flow, heparin and cannula calculators, per-patient procedure logs and disposables inventory, with Firebase rules that keep each clinician's records private.
Echo Lens
Designed an AI-assisted echocardiogram reporting workflow to help streamline documentation and reduce reporting turnaround time.
Future-U
Enhanced a student career guidance platform by improving UI/UX and user workflows. Contributed to feature enhancements and responsive web design, and collaborated on testing, deployment, and performance optimization using modern web development practices.
Sentiment Analysis Dashboard
Trained Naive Bayes, logistic regression and SVM classifiers on TF-IDF features to label reviews as positive, neutral or negative, with a Streamlit dashboard for typed text or CSV uploads.
Toolkit
Extracted from clinical experience, coursework and project work across healthcare, analytics and AI.
Programming & Data
AI, ML & BI
Tools & Healthcare
Certifications & workshops
Continuous learning across AI, data analytics, product management and healthcare-specific upskilling.
Let's build something meaningful at the intersection of care and code.
Open to opportunities in healthcare analytics, AI product work and data-informed clinical solutions.