Motivated production engineering graduate with expertise in industrial engineering, process optimization, and digital transformation. Passionate about leveraging technology for manufacturing excellence.
Motivated Production Engineering graduate with a strong foundation in industrial engineering, planning and scheduling, process optimization, and digital transformation. Experienced in CAD/CAE tools, Python programming, and applying machine learning in manufacturing environments.
Seeking to leverage technical expertise, planning engineering skills, and project management capabilities to drive process implementation and digital manufacturing solutions in the Oil & Gas industry.
December 2021 - May 2025
CGPA 6.95 (First Class)
Major Project: Synthesis & Characterisation of Non-Edible Oil Based MR Fluid and Its Application in MR Valve
May 2018 - May 2020
90% in CBSE Board Examination 2020
Subjects: PCM + Computer Science
May 2008 - May 2018
88.8% in CBSE Board Exam 2018
December 2024 (1 month)
May 2024 - July 2024 (3 months)
Gained hands-on experience in Computer-Aided Design and Computer-Aided Engineering applications.
A mini project focused from CAD Design to Fabrication of Scott Russell's Mechanism
Defined Scope of Work, Responsibility Matrix, Project Dashboard and Safety and Inspection Test Plans for a Bulk Plant Project in Qatar
Trellis Bike Chassis and Pressure vessels - Structural strength and stability analysis using Finite Element Method
Projects on Customer Churn Prediction and Cirrhosis Patient Survival Prediction on Kaggle platform
October 2024
Virtual internship at Boston Consulting Group on Digital Transformation
April 2024
Certification from International Well Control Forum
Coursera
Google Data Analytics
Coursera
NIT Calicut
January 2024 - May 2025
Represent class in Class Committee Meetings, facilitate communication between faculties and students
Tathva NITC (Techno-management fest)
September 2023 - January 2024
Programme committee executive for South India's largest techno-management fest
AI Club, NIT Calicut
November 2023 - April 2025
Led teams in implementing machine learning solutions for industrial applications and conducted workshops
Student Member
February 2024 - Present
Student Member
November 2023 - Present
"Enhancement of Structural strength and stability Analysis of Trellis Bike Chassis using Finite element method"