Tanmoy M. Profile

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montpellier,

france

Aquí son las 2:14 a. m.

Se unió el mayo 18, 2019

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Tanmoy M.

@tanmoybesu9

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montpellier,

france

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PhD & 10+ years of Experienced Domain Expert

I have worked at several Research Institute and in Industries before starting my PhD at 2012. After completing my PhD on Image Processing, Computer Vision and Pattern Recognition, I have been working as researcher in research laboratories in the universities. During my PhD, I have also extensively worked on Time Series Signal processing for similarity search in big time series database and Machine Learning. Over last 10+ years, I have been involved in proposal and development of different algorithms based on Matlab and C++ (Linux/Windows + fluent in Open-CV). I have strong programming knowledge in Matlab and C++. I have been involved in several problems in the domain of huge time series signal processing and document image processing, medical image processing. Professional skills I offer you: - Image processing - Computer Vision - Pattern Recognition - Time Series Signal Processing - Data analysis and interpretation - R, Python, Matlab, C/C++ - Machine learning

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Experiencia

L'Institut national de recherche en informatique et en automatique (INRIA), France

feb 2019 - Presente

I am working here in the domain of huge time series signal processing. The primary task is to search similarity and to find the outliers from the huge database of time series signal.

University of La Rochelle, France

may 2017 - ene 2019 (1 año, 8 meses)

I was involved in the project of document image processing such as Optical Character Recognition (OCR), image enhancement and filtering and document image watermarking for increasing the security of the document.

Institute national des sciences appliquées (INSA) de Lyon, France

jul 2016 - ene 2017 (6 meses, 1 día)

I was involved in proposing and implementing an algorithm for detecting QR code like symbols, fabricated on laboratory bottles by using smart phones. So, I worked mainly with image processing and pattern recognition problems which was needed to be faster and robust for different image capturing environments.