ANIRUDH H

Recent Computer Science and Engineering graduate with expertise in Artificial Intelligence and Machine Learning. Demonstrated technical skills in Software Testing, Quality Assurance, IT Automation, and Technical Support. Dedicated to ongoing education and staying updated with industry advancements. Aiming for a role that encourages teamwork and growth opportunities.

The prediction of bone marrow disorders  plays an important role by detecting it and as well as  treatment of hematological diseases. This work focuses  on predicting the presence of bone marrow disorders  based on clinical data, utilizing Random Forest to build  a robust classifier. Pre-processing is performed by using  statistical techniques and the data is explored by the RF  method with the 10 features, which are extracted from  the bone marrow. The performance is evaluated using  the Random Forest model to analyse its classification  accuracy, precision, recall, F1-score. The research work  yields highly accurate and reliable prediction which  improves the bone marrow disorders compared to  traditional methods.

• Successfully published a research project titled “A Statistical Approach to Enhancing Healthcare Predictions for Bone Marrow Disorders Using the Random Forest Algorithm” in IEEE/Sai Vidya Institute of Technology, Bangalore
• Machine learning with MATLAB (by MathWorks)
• Oracle Cloud Infrastructure 2023 Certified Foundations Associate
• Digital 101 journey by future prime skills.