Ritesh Yadav is an aspiring data scientist with three years of experience in research and applications of machine learning algorithms and data analytics. He utilizes Python for scripting and is skilled in applying predictive models to derive meaningful insights from complex data sets. His background includes advanced studies in robotics systems and AI applications.
Experience
Assistant Manager
Maruti Suzuki R&D
Design and development of electric power steering system with vendor support. Responsible for data handling of employees as resources. Root cause analysis of reported market issues.
Master Thesis
Machine Tool Laboratory (WZL), RWTH Aachen
Performed data acquisition and pre-processing to train friction models using analytical methods and Long Short-Term Memory networks (LSTMs). Achieved accuracy of up to 98.6% for serial robot kinematics.
Graduate Research Assistant
Institute of Mechanism Theory, Machine Dynamics and Robotics (IGMR), RWTH Aachen
Optimization of AI task scheduling algorithm through external sensor data for human-robot collaboration in an industrial scenario. Integrated motion capture system to detect and communicate the position of the robot and workpieces using ROS, to further improve the accuracy of the task execution.
Education
RWTH Aachen University
M.Sc. (Robotics Systems)
Relevant Courses: Advance Machine Learning, Computer Science in Mechanical Engineering II, Computer Vision, Control Engineering, Artificial Intelligence and Data Analytics for Engineers
Birla Institute of Technology and Science, Pilani
B.E. (Mechanical Engg)
Bachelor Thesis: Trajectory optimization of continuum arm robots
Licenses & Certifications
Generative AI with Large Language Models
DeepLearning.AI, Amazon Web Services
Foundations: Data, Data, Everywhere