Simran Raheja is a Yield Development Engineer with a strong chemical engineering foundation and a data-science specialization from Purdue University, bringing roughly nine years of industry experience across manufacturing, pharma, and research. She has hands-on experience improving high-volume semiconductor tool availability and leading RCA using 8D and FMEA at Intel, and previously drove GMP deviation investigations and process optimization at GSK. Comfortable with statistical process control, JMP, Python, and Excel, she translates data and experiments into actionable manufacturing improvements—from energy-consumption analytics with The Data Mine to polymer characterization at IIT Jodhpur. Simran combines lab-scale materials insight with production-scale process control, making her adept at bridging R&D findings to factory-floor yield gains. Based in Bengaluru, she is actively transitioning toward full-time roles that leverage statistics-driven process optimization in the manufacturing sector.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Chemical Engineering, Master's degree, Chemical Engineering at Purdue University
Bachelor of Technology (BTech), Chemical Engineering, Bachelor of Technology (BTech), Chemical Engineering at Sardar Vallabhbhai National Institute of Technology, Surat
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