Rishabh Deo

Driven by a passion for data analysis and a track record of leveraging Python and Power Bi to drive business insights, I excel in transforming complex datasets into actionable strategies. At Pathkind Labs, my analytical prowess and collaborative skills led to optimized marketing strategies and enhanced customer satisfaction, showcasing my ability to deliver impactful results.

ICU Patient Risk Assessment for Septic Shock

Feb-2024

By implementing a predictive model, healthcare providers can enhance patient outcomes through early detection and intervention, significantly reducing the incidents of septic shock in ICU settings.

· Project involved creating a classification model to predict the Likelihood of septic shock in ICU patients.

· Dataset contained patient’s vitals and other clinical features.

Advanced ML and DL techniques employed to handle the class imbalance and improve prediction accuracy.

Predicting Blood Transfusion Reactions Using Machine Learning

Oct-2021

Tools & Tech: ML, Python, Power-Bi, SQL, excel

Model aims to provide healthcare providers with early warnings of potential reactions, facilitating timely interventions and improving transfusion outcomes.

· Dataset encompasses a range of variables, including patient age, gender, blood type, haemoglobin levels, and previous transfusion history.

· Aims to enhance patient care and safety in transfusion medicine, using Advanced ML techniques.

· Provided Data visualization to empower healthcare professionals in making informed decisions, reduce adverse outcomes and optimize transfusion practice.

• Advance Data Science & Al Powered by IBM (Learnbay)
• Introduction To Generative Al (Google)
• Generative Al Fundamentals (Google)
• Introduction to Large Language Models (LLM) (Google)
• Introduction To Responsible Al (Google)