Ankit Ratnia — Operations Associate

I am an engineering professional with 9+ years of experience in product design, tool development, and PLM systems within manufacturing and automotive domains. My career has focused on designing and developing mechanical components, optimizing manufacturing processes, and collaborating with cross-functional teams to deliver reliable, cost-effective products. Throughout my experience at organizations such as Havells, Mindarika, Nippon Audiotronix, and Bharat Seats, I have worked extensively on plastic injection mould tooling, mechanical component design, and product development using CAD and PLM platforms like Creo, NX, Teamcenter, Enovia, and Windchill. My work has involved end-to-end product development including conceptual design, modelling, documentation, benchmarking, and manufacturing coordination. With growing interest in data-driven engineering and intelligent manufacturing systems, I am currently pursuing an Executive Post Graduate Certificate in Data Science & AI from IIIT Bangalore. Through this program, I am developing expertise in Python, SQL, machine learning, statistical analysis, and data visualization tools such as Power BI and Tableau. I have also worked on data science projects including predictive maintenance modelling, manufacturing yield analysis, and demand forecasting, where I applied machine learning techniques such as regression, classification, clustering, and ARIMA forecasting to solve real-world analytical problems. My goal is to bridge engineering domain knowledge with data science and AI, enabling smarter product development, predictive maintenance, process optimization, and data-driven decision-making in manufacturing and industrial systems. I am particularly interested in opportunities in Data Science, Manufacturing Analytics, AI-driven product development, and Industrial Analytics, where I can combine my engineering background with modern data technologies to create impactful solutions. If you’re working on "AI, analytics, or digital transformation in manufacturing and engineering", I’d love to connect and exchange ideas.

Stackforce AI infers this person is a Data-Driven Engineering Professional with a focus on Manufacturing and Product Development.

Experience: 9 yrs 5 mos