PRABHU MAHAJAN

Innovative mechanical engineer leveraging international experience in design, quality, and manufacturing to optimize processes and products. Skilled at data-driven solution implementation and creative problem-solving. Passionate continuous learner focused on emerging technologies and pushing boundaries.

• Graduate Teaching Assistant Workshop Spring 2024 - Level GTA2/3, 01/2024
• Learn Python programming masterclass, 08/2023 - 08/2023, Udemy
• SOLIDWORKS, 07/2020, Associate level certification
• AUTOCAD by AUTODESK, 04/2019, AP1021095745074512446

Predictive Modeling of Air Quality Index using Machine Learning, 11/2023-12/2023,

• Developed machine learning model to predict Air Quality Index (AQI) estimates for urban areas in order to track pollution levels.
• Leveraged advanced machine learning techniques to create accurate and reliable AQI prediction system to enable timely air pollution management.
• Contributed to advancement of AQI forecasting models through application of state-of-the-art algorithms, enhancing precision and dependability of predictions Outsourced the

Designing of 20 Tone Air-Cooled Water Chiller, 03/2021 - 04/2021,

• Modeled components of the chiller using SolidWorks.
• Conducted comprehensive research on the selection of parts while designing.
• Analyzed body frame structure using Hypermesh.
• Created detailed 2D drawing of the machine using AutoCad

Mold Flow Analysis of DCPD Truck Bumper, 02/2021 - 03/2021, 

• Responsible for performing mold flow analysis run and extracting results.
• Conducted comprehensive research on dicyclopentadiene for a flow analysis of the material. Assisted in designing gates for the model

Development of Passive Upper Limb exoskeleton, 08/2020 - 12/2020, 

• Conducted a comprehensive literature review of existing exoskeleton concept and defined the scope of work.
• Modeled and analyzed novel exoskeleton concepts that aim to reduce work-related injuries such as Musculoskeletal Disease(MSD)

Performance evaluation of a 5 Ton Water Chiller, 08/2019 - 09/2019, 

• Analyzed the performance and working cycle of 5 Ton chiller and identified the ways to increase the COP of the system.
• Contributed to the successful prototype of 5 ton chiller yielding 5% higher COP with minimal cost impact