Nakul Kanojia

Dependable Content Curation Analyst with track record of success in field, attention to detail and proactive mindset. Seeks opportunities to improve processes and workflows for team benefit. Conscientious, hardworking and excels at multitasking in fast-paced environments.

• Participated in Intra school volleyball matches.
• Have been a part of Cultural Events in the organizing and budget handling team.
• Volunteered and showcased my communication skills in some events and tournaments held in my School and University.

• Introduction to Data Analysis Using Excel
• Data Analytics and Visualization Virtual Experience
• Data Analytics Consulting Virtual Internship

Chronic Kidney Disease Prediction Using Machine Learning Algorithms

• Developed a predictive model to assess the likelihood of kidney failure in patients using machine learning algorithms such as Random Forest, Decision Tree, and Logistic Regression.
• Utilized the Python programming language and associated libraries to analyze and clean the dataset, which involved filling missing values and encoding categorical columns.
• Achieved a 95% accuracy rate in predicting the likelihood of kidney failure using the Random Forest algorithm.
• Demonstrated the effectiveness of the model by comparing the results of various algorithms and achieving the highest accuracy with Random Forest.