Zhitao Gao
About
Zhitao Gao is from Mountain View, California, United States. Zhitao works in the following industries: "Information Technology & Services", and "Automotive". Zhitao is currently Co-Founder and CEO at IndustrialMind.ai. In Zhitao's previous role as a Digital Transformation Leader at Tesla, Zhitao worked in until Sep 2024. Prior to joining Tesla, Zhitao was a Data Scientist at Tesla and held the position of Data Scientist at Shanghai, China. Prior to that, Zhitao was a Data Analyst at Tesla, based in Shanghai City, China from Feb 2020 to Aug 2020. Zhitao started working as AI & Data in Manufacturing at General Motors JV in Shanghai in Apr 2018. From Jul 2017 to Feb 2018, Zhitao was Data Analyst (Energy Management) at Opel, based in Frankfurt Area, Germany. Prior to that, Zhitao was a Production Engineer & Data Analysis at Bosch, based in Greenville, South Carolina Area from Aug 2016 to Mar 2017. Zhitao started working as Manufacturing Coordination at Bosch in 德国 慕尼黑地区 in Oct 2015.
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Zhitao Gao's current jobs
First AI manufacturing engineer
Zhitao Gao's past jobs
Create new team from 0 with industrial Data Scientists with interdisciplinary skills, software engineers We do - Plan and execute manufacturing digital transformation roadmap with all departments - Manufacturing data science applications and solutions - Systematic education of digital tech stack to employee of all levels from technician to senior managers
- Solving most critical manufacturing issues with data driven approach - Create innovative solutions for manufacturing digitalalization including components such as computer vision, cloud based software, hardware. Design, persuade, initiate projects, writing code
Intersection of Data/IT/Operation - Data analysis/ETL/vizualization around high voltage battery module production, deliver solutions But not information - Combining mechanical engineering, production systems, systematic thinking, statistics together Tasks including - design database schema and data pipelines for analysis - manufacturing and production process analysis, OEE improvement, Design Of Experiment - Use machine learning and statistics in analyzing complex dataset - Front end development - BI - Trainer of data related skills
Leader of AI for manufacturing Things I learned - Leader of AI/data application in manufacturing e.g. Predictive Maintenance, process monitoring.Process planning optimization - Dashboards with Business Intelligence Tools (Qlik, tableau) -Digital transformation, Information system planning and management in manufacturing engineering - Internal trainer of data mining, BI software, etc. Skills: - AI, Python, Machine learning, BI - Manufacturing process, lean production operation - Bring clarity to technical and business leaders
Master thesis - Energy consumption forecast model using machine learning - Analysis of energy consumption with statistical methods for Opel European sites - Benchmarking energy efficiency of European automotive manufacturing sites - Development and validation of KPI system and evaluation model for energy performance analysis of manufacturing company - Reveal potential optimization opportunities
Production Engineering Intern at Associate Fuel Pump Coop. A Joint-Venture of BOSCH and DENSO in the USA - Built production line productivity analysis and dashboard using BI tools from 0 to 1 - Production line productivity improvement by addressing bottleneck - Manufacturing process improvement - Cooperation with extern supplier in conceptual design of robot and feeding system, installation and debugging - Cycle time reduction and process improvement at manual inspection station using ergonomic measures - Quality improvement - Automatic data analysis and reporting with VBA - Systematic problem-solving process
Manufacturing Coordination Intern - Coordination in Bosch Internation Production Network for fuel pump - Tracking Production KPI and continuous improvement process in IPN - Support international production release (PPAP) - Support technical engineering change