Bhavik Patel is an experienced data scientist and algorithmic trader with a solid background in statistics and machine learning. Currently, Bhavik serves as a Manager-Data Scientist at CEAT Limited and as an Algorithmic Trader at Matce InvCorp. Previously, Bhavik held positions at UBS as a Data Science Specialist and at Persistent Systems as a Module Lead, where expertise was demonstrated in building personalized recommender systems utilizing technologies such as Python, Spark, HBase, Kafka, TensorFlow, Keras, Autoencoders, and Hybrid techniques. Earlier roles include a Machine Learning Analyst at CAPITAWORLD and dual roles as a Data Scientist and Business Analyst at Tata Consultancy Services, focusing on identifying business problems and developing analytical frameworks across retail markets in the SEANAP region. Bhavik Patel holds a Master of Science in Statistics and a Bachelor of Science in Statistics from The Maharaja Sayajirao University of Baroda.
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CEAT
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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.
