Jukel Rakesh
Manufacturing Intelligence Professional @Pirelli
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WORK HISTORY
Manufacturing Intelligence Professional @Pirelli
Milan, IT
As part of Pirelli’s Smart Manufacturing team at Milan Headquarters, I collaborate with the global manufacturing network to develop and implement smart manufacturing solutions. My focus is on tackling process challenges through digital technologies such as IoT, data analytics, and automation. I work on optimizing production efficiency, improving quality, and supporting continuous improvement initiatives. By coordinating with cross-functional teams worldwide, I help standardize and deploy Industry 4.0 systems that drive innovation and operational excellence across Pirelli’s manufacturing sites.
EDUCATION
Sree Chitra Thirunal College of Engineering, Pappanamcode, Thiruvananthapuram
Bachelor of Engineering (B.Eng.)
Politecnico di Torino
Master's degree
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.
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