Zhitao Gao
About
Zhitao works in the following industries: "Information Technology & Services", and "Automotive". Zhitao is currently Digital Transformation Leader at Tesla. Zhitao also works as Data Scientist at Tesla, a job Zhitao has held since Aug 2020. In Zhitao's previous role as a Data Analyst at Tesla, Zhitao worked in Shanghai City, China until Aug 2020. Prior to joining Tesla, Zhitao was a AI & Data in manufacturing at SAIC General Motors and held the position of AI & Data in manufacturing at Shanghai City, China. Prior to that, Zhitao was a Data Analyst (Energy Management) at Opel, based in Frankfurt Area, Germany from Jul 2017 to Feb 2018. Zhitao started working as Production Engineer & Data Analysis at Bosch in Greenville, South Carolina Area in Aug 2016. From Oct 2015 to Mar 2016, Zhitao was Manufacturing Coordination at Bosch, based in 德国 慕尼黑地区.
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Zhitao Gao's current jobs
Zhitao Gao's past jobs
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
- Lead of AI Machine learning application in manufacturing from business side, e.g. Computer vision, Predictive maintenance of machine, manufacturing process monitoring. Process planing optimization with revolutionary algorithms - Build analysis workflow with python, KNIME, R - Build analysis reports with Business Intelligence Tools ( tableau, Qlik) for efficiency improvement and management - evangelist of data analysis and AI - Information system planning and management in manufacturing engineering - Manufacturing process optimization using a mathematic optimization algorithm - Internal trainer of data mining, BI software, AI, etc. Skills: -Python, demo algorithms (traditional machine learning, deep learning, revolutionary algorithm ..) -BI tools Qlik, Tableau and SQL -deep understanding of AI & manufacturing, lean production operation Passionate about data industrial internet, data visualization, machine learning, cloud and its application in manufacturing, public speaking
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