Resume

Sr. Data Engineer/Machine Learning Engineer, Consultant, Mentor and technical blogger
Scarborough, Toronto, Ontario, Canada
Bansberia, Hooghly, West Bengal, Kolkata
US/Canada: +1 647 217 1511
India: +91 9163916803
[email protected]
https://linkedin.com/in/subhadip-mukherjee
https://subhadip.ca
https://www.codementor.io/@subhadipjgec414
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Experience Summary

  • 14 years of experience as Data Engineer in various DataWarehouse, ETL and Analytics projects.
  • 8+ years of experience in Python programming.
  • 4+ years of experience in Google Cloud Platform (GCP) and DBT.
  • 3+ years of experience in Data Science Methodologies (Machine Learning) using RapidMiner, Python, IBM Watson Studio.
  • 7 years of experience in ETL technologies using Informatica, Data Stage.
  • 14 years of experience in Database technologies including SQL language using Teradata, Oracle, Netezza, MS SQL Server.
  • 14 years experience in Unix Shell Scripting.
  • Capable to handle big data, really BIG!!
  • 8+ years experience in Data Modeling using PowerDesigner and other tools.
  • Knowledge in Web Technologies like HTML/CSS/JS/PHP, VB.NET, Python etc.
  • 5+ years of experience in IBM Bluemix Platform (former platform of IBM Cloud).

Work experience

  • Individual Consultant: April 2023 till date.
  • Wipro Canada: Technical Lead(Data Engineer) Oct, 2021 to April 2023.
  • Cubert Inc: Data Engineer, Nov, 2020 to Sept, 2021
  • CGI/Bell Canada: Machine Learning Engineer, April, 2018 – Sept, 2020
  • IBM Canada: ETL Data Specialist, February, 2016 – March, 2018
  • IBM India: Application Developer, May, 2013 – February, 2016
  • Cognizant Technology Solutions India: Programmer Analyst, July, 2010 – April, 2013

Skills

Machine Learning • Data Engineering • Data Analytics • Data Analysis • Data Integration • SQL • Informatica • Unix • Teradata • Python (Programming Language)

Education

Bachelor of Technology in Computer Science and Engineering
Jalpaiguri Government Engineering College
2006-2010

Machine Learning Projects

  1. Mobility Subscription Fraud Detection. – Activation data, Python, Binary Classification (FRD/NOT FRD) [Bell Canada]
  2. Face recognition – Open images, Python, OpenCV, Imutils, Deep learning(CNN/DNN)
  3. Own SET – Social Engineering Toolkit – Search program over social media with an image for people.
  4. Object detection in Video – Object detection in a video in python and deep learning.
  5. OCR – Optical Text recognizer, receipt decoder, handwriting decoder.
  6. Facemask Detection – Detection of mask using openCV and deep learning.
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