MOHITHREDDY KOTAMREDDY

Adaptable professional with proven ability to learn quickly and adjust to new environments. Expertise in acquiring knowledge rapidly and applying it effectively to achieve results. Committed to continuous learning and adept at navigating change successfully.

Enhancing Liver Disease Prediction Using Random Forest in Machine Learning Strategy.

• Problem: Liver diseases are rising globally due to alcohol use, toxic gas inhalation, spoiled food, and drug abuse, leading to high mortality and morbidity rates
• Objective: develop a machine learning-based model to predict liver disease using patients' blood test data
• Method: used the liver patient dataset for analysis, applied multiple classification algorithms: logistic regression, J48, KNN, and random forest
• Outcome: The Random Forest Classifier outperformed others with the highest accuracy and reliability, enabling early detection of liver disease from blood test inputs
• Impact supports early diagnosis, personalized healthcare, and timely medical intervention, enhances healthcare outcomes with accurate predictions using ML.

• Completion certificate of artificial intelligence offered by Wissenaire, IIT Bhubaneswar workshop
• Certification of internship in advanced data science
• Certification of internship on Cloud computing Aws.
• Certification of participation on three day workshop on Artificial Intelligence and its Applications.

• Created and maintained an online portfolio showcasing design work, such as Behance, Dribbble, and a personal website.
• Participated in design challenges on platforms like Designare or Instagram.
• Designed visual content for personal or community-based social media campaigns.