About

Yash Bhardwaj is a highly motivated and skilled computer engineer graduate from Trinity College Dublin. He is seeking a career with a progressive organization that will allow him to capitalize on his technical and workplace skills. Yash is currently working as an intern at niit, where he has been assisting on an Anti-Money-Laundering project for the detection of fraudulent transactions. As part of his role, Yash has been responsible for data mining and data analysis to find the accuracy of the data using Python 3 in Jupiter notebook. He has leveraged algorithms like Random Forest and XGBoost for speed, scalability, and high efficiency in prediction problems involving unstructured data. Yash has also built dashboards for visualizing the data to determine suspicious balance transferred, potential geographical risk locations, and more using Power BI and Tableau. Yash's efforts have led to an increase in data accuracy and precision from 93% to 97% as per client requirements. He has provided insights for better visualizations and introduced connected wallets as a new parameter for increasing accuracy. Yash's education history includes a Bachelor of Technology degree in Computer Science from Trinity College Dublin, a B-Tech in Computer Engineering from Thapar University, and a 12th standard degree from The Army Public School, Dhaula Kuan, New Delhi. Yash has a strong technical skill set that includes XGBoost, Random Forest, and Python. He has relevant experience of 3.68 years, which makes him a valuable asset to any organization. Yash is a quick learner, a team player, and has excellent communication skills. He is committed to delivering high-quality work and is always looking for new challenges to enhance his skills.