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Kaustav Sengupta

Kaustav Sengupta

Business Analyst/Automotive Engineer

Servizi offerti: Microsoft Power BI , Matlab , Python , Microsoft Office

Lambrate, Milano, Città metropolitana di Milano
€16 / ora
Tasso approssimativo

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Informazioni su Kaustav Sengupta:

Highly motivated automotive engineer with a Master's degree in Mobility Engineering from Politecnico Di Milano. Passionate about the automobile, mobility, transportation, and sustainability sectors. Experienced in data analysis, programming, traffic analysis, and design. Skilled in data science, analytics, and visualization tools.

Esperienza

Supply Chain Engineer,JBM group,11/2018 – 06/2019 Chennai, India

 •Implemented Kanban System in a Tier 2 automobile company. 

•Reduced shipment of wrong products in terms variants(left or right)  

•Led continuous improvement in Warehouse using KAIZEN. 

•Implemented neither excess nor shortage systems to keep the supply chain smooth and reduced product cost by 12%. 

•Eliminated unnecessary expenses and reduced cost by 10000 Euros /annum of inventory using historical data review. 

Automotive Engineer, TATA Motors ,01/2017 – 05/2017 Pune, India

•Studied automotive V cycle,performed requirement analysis. 

•Worked on solving challenges being faced in engine calibration and came up with an approach using design of experiments.  

•Familiarized with the light commercial vehicle(LCV) production process. •Optimized the assembly line of TATA SAFARI production line. 

•Reduced the overall cycle time by 15 percentage.

 •Monitored Root cause analysis for the bottleneck in the production line. 

•Studied movement of goods to identify wastage activity on production floor.

Educazione

Masters of Science in Mobility Engineering, Politecnico Di Milano 09/2019 – 07/2022 Milano

(Awarded Silver Scholarship(Merit Based) for the entire duration of study) 

Thesis: Analysis and Prioritization of Public Transport at Signalised Intersection.  

•Utilized Computer Vision to detect and differentiate public transport. 

•Analyzed different waiting scenarios based on bus arrival time. 

•Developed differernt algorithms based on the different arrival times of the bus. 

•Study performed on Milan(bus route 93).

 •Waiting time and mean waiting time of the bus were reduced by 80 percentage. 

Bachelors of Technology in Automobile Engineering, Hindustan Institute of Technology and Sciences 

Thesis: Implementation of KANBAN systems in a TIER II automobile company.(JBM)

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