Projects
Predictive Scoring Application
Neonatal Sepsis is a complicated medical condition which cannot be diagnosed by one or two clinical parameters. Newborns within 0 - 28 days and infants within 1 year are extremely vulnerable to infections. Our innovation is called as PreSco (Predictive Scoring Application). It uses machine learning algorithms to provide for an early risk assessment of Neonatal Sepsis and aids in informed decision making for antibiotics. PreSco is invasive and non-invasive machine learning models which provides a rapid risk assessment of babies.
View Project
Sentiment analysis for Rating Food Recipes
Sentiment analysis using TextBlob, weighted average rating for food recipes.
View Project
Recipe Recommendation Engine
Recipe Recommendation Model based on similarity in ingredients, user's purchase history and preferences using Gensim word2vec.
View Project
Sepsis Infection Detection (ML model Development)
Development of Machine learning Models for Invasive and Non-Invasive detection of Neonatal Sepsis Infection .
View Invasive View Non-Invasive
Power BI Dashboards (PDF) in Report Format
All Power BI Dashboards links
Sales DashboardProduct Analysis
Scenario Analysis
All Business Analysis Documents
Business Analysis for Restaurant Reservation System, Predictive Scoring Application
View Documents