Atanu Maity Senior Data Scientist
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I am Senior Data Science professional with 9+ years of experience in AI, Machine Learning, Deep Learning, Statistical and Mathematical Modeling and coding. I am interested in
application of Data Science Techniques in Oil and Gas, Retail, Insurance and Financial
Sectors. I have worked on assignments in varied areas like model building
for stock market and insurance, weather forecasting, customer churn
forecasting, RFM Analysis, Customer Life Time Value Prediction, Social
Media Analytics and Sentiment Analysis of Customers. I am Highly skilled in
Python Programming, Data Engineering and NLP techniques. He has
exceptional interpersonal and multitasking abilities. I am highly self-motivated
towards learning advanced Deep Learning techniques and applying those to
solve real world problems.

Subjects

  • Python Beginner-Expert

  • Mathematics & Statistics Beginner-Expert

  • Data Science and Machine Learning Beginner-Expert

  • Deep learning with Python programming Beginner-Intermediate

Experience

  • Data Science Manager (Oct, 2023–Present) at Capgemini Kolkata
  • Senior Consultant - Data Science (Jun, 2021–Sep, 2023) at Capgemini
    Working for a leading Oil and Gas client for developing NLP based solutions
  • Lead Data Scientist (Apr, 2016–Jun, 2021) at Ayata
    Leading the development team in developing various data driven solutions and products. Also guiding the management to take data guided decisions.
  • Data Scientist (Apr, 2015–Mar, 2016) at Karvy Data Management System Limited
    Responsible for analyzing stock broking data, deriving insights and building Machine Learning models for various business usecases

Education

  • PGPBA (May, 2014–Mar, 2015) from Praxis Business School, Kolkata
  • M.Sc. (Apr, 2010–Mar, 2012) from Guru ghasidas University, Koni Bilaspur
  • B.Sc. (Mar, 2006–Apr, 2009) from University of Calcutta, Kolkata, West Bengal

Fee details

    ₹1,000–2,000/day (US$11.89–23.78/day)

    The declared fees are only for Weekend slots and only for online mode of teaching.

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