Abhilash Reddy Mudhireddy

Managed the Document Tracking module, which enabled customers to manage the distribution, collection, review, submission, and approval of documents that were required for all stages of a clinical study, not only for submissions.

Established a system to track documents as a package. Document tracking also allowed customers to determine site start-up progress and readiness.

• The module also provided a more user-friendly regulatory submission and approval experience

Medi Data used the Document Tracking Platform to build and deploy multiple clinical trial studies with robust metrics that improved the quality of medical research.

• Designed and built databases for storing clinical trial data which was used to convert trial periods into fulltime end-users

• Employed software tools such as back-end Developer. Tools: Java 8, Core Java, Spring boot, Sprig JPA, Collection, Exception handling,

• Credit Card Fraud Detection Using Machine Learning

• Visvesvaraya College of Engineering and Technology - Hyderabad, India

• Credit Card Fraud Detection includes modeling past credit card transactions with the data of fraudulent charges

• This model was then used to recognize whether a new transaction was fraudulent or not

• Gathered the credit card transaction data and preprocessed it to remove any noise or inconsistencies

• Selected an appropriate machine learning model, such as logistic regression or random forest, and trained the system on the labeled data