Parth Bhivate

About Parth Bhivate

I have 7+ years of human-centered product development experience and involved in big data analytics work for 4+ years.I am passionate about using data analytics tools and visualization techniques to discover insights and underlying patterns of human behavior in order to design better user experiences.I have diverse knowledge base which includes- big data analytics and visualization, semantic analysis, social media analytics- user experience development through iterative process with human factors, designing and moderating of experiments, surveys, A/B testing etc- automotive product development with expertise in CAD, CAE and material design

Experience

1. Consumer Insight and Analytics Engineer

   Ford Motor Company

   Jan 2021 — Present · Dearborn, MI, US

   Derived key insights into how customers use controls and features from big data mined from connected vehicles fleetLead multiple quantitative user research studies to gain customer usage insights and guideproduct development while working with product managers, design and data engineers Defined problem scope, and applied appropriate statistical methodologies to get keyperformance metrics for both digital and physical features within the vehicle Discovered the voice of customers and pain points by deep-diving customer quality datasources like JDP-APPEAL, IQS, and QNPS to advocate for customers in the design process Created product quality walk by predicting potential problems in customer experience fromcurrent product assumptions to help management with design trade-offs Improved team’s efficiency and quality by building automation apps (screen contrastpredictor), maintaining internal Sharepoint, building process flow charts Defined key performance metrics - KPMs like usage frequency, miles per feature, etc to analyze user interaction with vehicles features Performed data analysis on CAN/DID signals fetched with SQL queries from thousands of vehicles using Alteryx and Python Created interactive visualizations of feature usage KPMs using Qlik Sense and Excel for hard buttons as well as in-screen content Tested vehicles using CANalyzer and Vector tools to identify and validate correct CAN signals for the feature of interest Published visualizations of user interaction insights with management for future product improvements for finished projects like usage of headlamp switch, Lincoln hot-keys, drive modes, climate controls, lock away lock, etc

Education

• Clemson University

  Master's Degree, Automotive Engineering

  2013 — 2015

• Harrisburg University of Science and Technology

  Masters in Analytics

• National Institute of Technology Rourkela

  Bachelor of Technology (B.Tech.), Mechanical Engineering

  2007 — 2011

Skills

• Hyperworks
• Matlab
• Product Design
• C++
• C
• Optimal Control
• Product Development
• Pro Engineer
• Automotive Engineering
• Fmea
• Solidworks
• Autocad
• Pro Engineering
• Electric Vehicles
• Light Weight Design
• Simulink
• Catia
• Topology Optimization
• Engineering
• Vehicle Dynamics
• Testing