Amit Naik

About Amit Naik

Skilled in Data Science with practical experience in the application of Statistics, Machine Learning, and Business Intelligence approaches using Python, PySpark, SQL & Tableau on data collected from Connected Machines (Telematics) with a proven track record of solving critical business problems and uncovering new business opportunities especially in the area of predictive maintenance and fault prognostics.• Strong 10+ years of Experience in leading and managing team of Data Scientists, Data Analysts and Data Engineers with the goal of providing data driven useful business insights for Engineering Teams of Deere Construction and Forestry Equipment.• Working directly with business stakeholders and engineering to create high quality solutions that solve end-user problems.• Talented Analyst with exceptional background in utilizing data from diverse information systems to build tools and forecasting models that remarkably improve organizational decision-making capabilities.• Strong engineering professional with a Master of Science (MS) focused in Embedded Systems from Birla Institute of Technology & Science, Pilani.• Experienced Lead Engineer in Precision Construction Group in John Deere with a demonstrated history of working in the Automotive industry (14+ years).

Experience

1. Data Scientist (Expat)

   John Deere

   Jul 2024 — Present · US

   As a Data Scientist focused on Earthmoving Digital, I closely work with Product Mangers to utilize telematics data from machines to create advanced data prototypes and data products that allow customers to effectively visualize and manage their machinery, job sites, and fleet operations through a web-based platform. My responsibilities include:Collaborating with stakeholders to gather and translate business requirements into actionable data strategies.Designing and developing robust data models that align with organizational goals.Implementing comprehensive data architectures to ensure data security and optimize utilization.Researching and identifying opportunities for data acquisition to enhance data-driven decision-making.Leveraging artificial intelligence and machine learning techniques to derive valuable insights from complex datasets.

Education

• Birla Institute of Technology & Science, Pilani

  Master of Science (MS), Embedded Systems

  2011 — 2013

• Shree Rayeshwar Institute of Engineering and Information Technology, Goa

  Bachelor of Engineering, Electronics and Telecommunication

  2002 — 2006

• Shree Shantadurga Higher Secondary School, Bicholim Goa

  Higher Secondary, Science

  2000 — 2002