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Anindya Banerjee

is available. ✅

Angestellt, Software Developer, Siemens Healthineers
Erlangen, Germany

Skills

Team work
Software Development
Communication skills
MS Office
Machine Learning
Image Processing
active learning
Data Science
Data Engineering
software development
Medical Image Processing
Computer Vision
Deep Learning
Python
SQL
flask
JavaScript
HTML
CSS
Bootstrap
Pattern Recognition
machine learning

Timeline

Professional experience for Anindya Banerjee

  • Current 3 years and 4 months, since Mar 2022

    Software Developer

    Siemens Healthineers

  • 9 months, Jan 2021 - Sep 2021

    Software Engineer

    Capgemini

    • Well acquainted with design test cases, scripts and scenarios. • Have hands-on experience in ALM, Agile, Jira, Java. • E2E middleware testing

  • 1 year and 2 months, Dec 2019 - Jan 2021

    Python Developer

    Revoseven Technologies

    • Worked on several image processing projects • Implemented web scrapping using python in real-time projects

Educational background for Anindya Banerjee

  • Current 3 years and 9 months, since Oct 2021

    Medical Engineering

    Friedrich-Alexander-Universität Erlangen-Nürnberg

    specialisation in medical image and data processing

  • 2 years and 1 month, Aug 2017 - Aug 2019

    Communications Engineering

    Kalyani Government Engineering College

    Master's Thesis: A reliable and fast detection technique for lung cancer using digital image processing • A set of algorithms including image enhancement, image segmentation, histogram; tries to conclude an accurate and fast method for detecting cancer affected cells Anindya Banerjee • It tries to remove all the noises of the images as well • Technologies: MATLAB

  • 4 years and 2 months, Jul 2013 - Aug 2017

    Electronics and Communication Engineering

    West Bengal University of Technology

    Data parsing with Python: • The idea was to extract key information as well as error messages from a log file of an unstructured format • By specifying data patterns of any text file to extract data with the help of regular expressions. • This advanced version of the project utilizes the concept of web scrapping to automatically download the photos along with its caption of any Instagram user. • Technologies: Python, Selenium, Beautiful Soup

Languages

  • English

    Fluent

  • German

    Basic

  • hindi

    Fluent

  • bengali

    First language

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