Jukel Rakesh

Background

About Jukel Rakesh

With a solid foundation in mechanical and automotive engineering, I specialize in applying data science, simulation, and process optimization to drive innovation in the automotive and manufacturing sectors. My journey began with a B.Tech in Mechanical Production Engineering, where I developed strong analytical and problem-solving skills. I advanced through a Master’s in Automotive Engineering at Politecnico di Torino, focusing on autonomous vehicle systems, vehicle dynamics, and connected mobility. Recent Experience – Data Analytics and Process Optimization at Pirelli At Pirelli, I lead data-driven initiatives to improve the manufacturing of semi-finished products through: Python-based analytics, Six Sigma, and machine learning models Automated ETL pipelines and real-time dashboards using Streamlit and Qlik Sense Predictive analytics to increase production efficiency, reduce downtime, and support smart manufacturing Previous Experience – FEM/CAE Engineer at Tata Consultancy Services (General Motors Project) As a simulation analyst, I worked on the VDDV crash simulation project for General Motors, focusing on: Crashworthiness simulations, NVH analysis, and vehicle structural meshing Tools: LS-DYNA, Hypermesh, ANSA, OptiStruct, and Abaqus 1D, 2D, and 3D finite element modeling and validation for global safety standards Motorsport and Leadership Experience Contributed to Formula SAE Driverless at Squadra Corse PoliTO: suspension dynamics, battery thermal analysis, and vehicle performance optimization Led Team Meckartans as Technical Head: designed and built go-karts, mentored engineering students, and organized technical workshops Core Competencies and Tools Programming and Data Science: Python, SQL, Pandas, Scikit-learn, Streamlit, Qlik Sense FEM and Structural Simulations: ANSA, Hypermesh, LS-DYNA, OptiStruct, Abaqus Manufacturing and Process Optimization: Six Sigma, Machine Learning, Predictive Modeling Vehicle Dynamics and Control: MATLAB, Simulink, Simscape, ADAMS Car CAD and Product Design: SolidWorks, Creo Let’s Connect I am passionate about integrating data science with automotive engineering to develop intelligent manufacturing solutions and advance simulation-driven product design. I welcome collaboration opportunities in automotive R&D, mobility innovation, and smart manufacturing.