A seasoned Manager in Technology Consultancy, specializing in Data Science and Analytics. With over 12 years of rich experience, I am passionate about tackling real-world business challenges using sensor data analytics. I excel in leading teams of data scientists and analysts, deploying statistical modeling algorithms for pattern identification, and extracting valuable insights. I am proficient in translating technical requirements into business specifications, streamlining processes, and delivering user-centric solutions. My technical skills encompass frameworks such as DplyR and ggplot2, ML/DL techniques like Linear Regression and k-means clustering, and tools like R, JMP, SQL, Tableau, VBA, and Python. As the Manager of Technology Consultancy at Applied Materials in Bangalore, I currently oversee a dynamic Sensor Data Analytics team. My responsibilities include providing clear leadership, overseeing project management, efficiently allocating resources, and developing strategic plans aligning with organizational goals. Vikas offers technical guidance and mentorship to my team, ensuring they stay at the forefront of industry trends. In his previous role as a Staff Engineer at Applied Materials, I led the Data Science and Analysis Service offerings team, focusing on Sensor Analytics. I successfully led the team in creating specialized data analytics service offerings for preventive maintenance analysis, earning accolades such as the Team of the Quarter Award and a Make Possible Award for significant GTG reduction. With a background in Mechanical Engineering from BITS Pilani Goa Campus, I have consistently excelled in my career. I have played crucial roles in Semiconductor Equipment Manufacturing organizations like Lam Research and Applied Materials, contributing to innovative designs and receiving awards for my outstanding contributions. I am not just a manager; I am a strategic leader who leverages his expertise in data analytics and sensor technology to drive excellence in project management and deliver solutions that make a significant impact.