Azhar Saiyed is an experienced professional in the field of data science and machine learning, currently serving as a Machine Learning Manager at CEAT Tyres Limited since February 2019, where responsibilities include developing advanced machine learning models for tyre concepts. Prior to this role, Azhar worked at Prompt Softech as a Data Scientist/Machine Learning Consultant, utilizing machine learning techniques to provide business insights for Amul. From March 2016 to April 2018, Azhar held the position of Data Science Manager at Nielsen, overseeing a team to deliver global coverage analysis reports for FMCG clients. Azhar's earlier experience includes a role as Team Lead at Tata Consultancy Services, managing a team of data scientists for global coverage analytics, and as a Project Manager at Nielsen, focusing on coverage analytics reports for FMCG brands. Azhar holds a Master of Science in Statistics and a Bachelor of Science in Statistics from Maharaja Sayajirao University of Baroda.
Org chart
Teams
Offices
CEAT
7 followers
CEAT Limited is engaged in manufacturing and sale of automotive tires, tubes and flaps. The Company manufactures radials for a range of vehicles. It offers products for light commercial vehicles (LCVs), motorcycles, scooters, cars, farm vehicles and trailers, off the road (OTR)/specialty vehicles and trucks, among others. It has capacity to produce approximately 95, 000 tires per day. The CEAT Bike tires include CEAT Zoom, CEAT Zoom Tubeless, F67, F85, Milaze, Secura Sport and Secura Zoom, among others. Its scooter tire range includes Gripp and Zoom D. Its car tire range includes BT, Czar AT, Czar HT, Rhino and Rhino TQ. It offers Buland and Buland Mile XL RIB for LCVs. It offers Anmol SL and Buland Mile XL for autos. Its tire range for farm and agriculture vehicle includes Aayushmaan Front, Aayushmaan Rear, Samraat Front and Samraat Super Front. It has developed OTR or specialty tires for mining, quarrying, rock excavation, construction and port applications.
