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Joydeep Medhi

Computer Vision@Lowe's | ML/DL/GenAI | Ex Mercedes-Benz R&D | IIT Delhi Maths & CS

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About

Joydeep Medhi is a highly skilled Lead Data Scientist with over 5 years of relevant experience in the field of Deep Learning, Machine Learning, and Artificial Intelligence. He has a strong background in Computer Vision research and production, and has worked extensively in the Retail domain, focusing on customer service improvement and business insights through technologies such as Computer Vision, Self Checkout, Action/Theft Recognition, Semi-Supervised Learning, and Active Learning for Object Detection. Currently working as a Lead Data Scientist at Lowe's Companies, Inc., Joydeep is responsible for leading Computer Vision/Deep Learning R&D in the Retail domain, and has successfully implemented various projects to improve customer experience and boost business growth. Prior to this, he worked as a Senior ML Research Engineer at Mercedes Benz, where he was involved in Computer Vision/Deep Learning research and development for production, as well as FaceID/Driver Monitoring/ADAS research and development, and Interior Sensing and Scene Understanding. He also worked as a Machine Learning Algorithm Engineer at Mercedes Benz, where he developed the AI module for the MBUX Gesture Recognition System for S-Class, and worked on Intelligent Interior Assistant using Computer Vision/Deep Learning, Human Pose Estimation, and Gesture Recognition for Mercedes-Benz Cars. Joydeep holds a Master of Technology degree in Mathematics and Computer Science from the Indian Institute of Technology, Delhi, as well as a Bachelor of Technology degree in the same field from the same institution. He also completed his Class 12th from Ramanujan Junior College and his schooling from Sankardev Bidya Niketon, Nagaon. Joydeep is proficient in a wide range of technologies such as Keras, Pytorch, NLP, Scikit, Python, Tensorflow, Neural Networks, SQL, AWS, OpenCV, Image Processing, Pandas, GCP, and Integration, among others. He is a skilled Research Scientist, Computer Vision expert, and Data Scientist, with a strong focus on Object Detection, Supervised Learning, and Deep Learning. He is a highly motivated and dedicated professional, with a proven track record of delivering high-quality results in a timely and efficient manner.

Education Overview

iit delhiindian institute of technology delhi

ramanujan junior college

sankardev bidya niketon nagaon

Companies Overview

lowes companies inc.

mercedes benz

silversparro

indian institute of technology delhi

kaust

mapmyindia

entrepreneurship development cell

Experience Overview

6.6 Years

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Contact Details

Email (Verified)

medXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX85

Education

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Frequently asked questions

What company does Joydeep Medhi work for?

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Joydeep Medhi works for lowes companies inc.

What is Joydeep Medhi role in their workplace?

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Joydeep Medhi's role in their workplace is Lead Data Scientist

What is Joydeep Medhi's tenure in their workplace?

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Joydeep Medhi's tenure in their workplace is 2.51 years

What is Joydeep Medhi's total experience?

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Joydeep Medhi's total experience is 6.58 years

What is Joydeep Medhi's LinkedIn profile?

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Joydeep Medhi's LinkedIn profile can be found here

What is Joydeep Medhi's email address?

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Joydeep Medhi's email address is medXXXXXXXXXXXXXXXXXom. Unlock here

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Joydeep Medhi's phone number is +91XXXXXXXX85. Unlock here

What schools did Joydeep Medhi attend?

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Joydeep Medhi has attended iit delhiindian institute of technology delhi, iit delhiindian institute of technology delhi, ramanujan junior college, sankardev bidya niketon nagaon

What companies has Joydeep Medhi worked with?

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Joydeep Medhi has worked with lowes companies inc., mercedes benz, silversparro, indian institute of technology delhi, kaust, mapmyindia, entrepreneurship development cell

What are some of Joydeep Medhi's skills?

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Joydeep Medhi has skills in 3D Reconstruction, Agile Project Management, Algorithms, Amazon Web Services (AWS), Analytics, Application Programming Interfaces (API) and more.

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