Dipanjan Nag

Developer, Analytics and Data Science – Social Media & Workplace Re-imagination Practice
Noida Area, Tata Consultancy Services
Summary:
  • Analytics for Digital Learning Product. Spark backend on AWS stack.
  • Initially end-to-end DevOps on Jenkins stack for Fortune 500 Healthcare Client.
  • Pre-Sales for Healthcare Domain on IoT connected device and anomaly detection on Sensor Data.
  • Early stage contributor of Mozilla rr framework
Skills:
  • Machine Learning with Python. Deep Learning. Keras (Tensorflow/Theano)
  • PySpark
  • Still good at c++
Experience:

Developer | TCS | Sep,16 – Now
Getting raw user interaction data from AWS s3 via spark. Extracting actionable insight for a digital learning product. Passing through Machine Learning Pipeline to recommend courses to users in line with unit and project requirement.

Developer | TCS | Mar, 16 – Sept, 16
Implemented end-to-end Devops implementation for a Fortune 50 Healthcare client. Efficient in Shell Scripting.

Developer | TCS | Dec, 15 – Mar, 16
Pre-Sales activity for various healthcare client. PoC on Azure ML, Apache Camel, Spark, Azure Stream Analytics.

Work outside Regular Job:
  • Agro Data Agility: Gives an intuitive UI like Azure ML Studio to create powerful dataset from the USDA dataset. Providing tailored USDA data as Data As A Service. All type of queries can be run on resulting datasets. @GitHub

 

  • Summary:It understands entities, concepts and keywords. Summary For HipChat actually brings Natural Language understanding in the scene to provide sensible summary of current room. Don’t feel alienated after a break. Store [DISCONTINUED] Open Sourced

 

  • AtroSeer: AtroSeer tracks news, tweet and other relevant data in real time and matches pattern from past data (available via USAID) to find out where the next atrocity will occur. Details is available on My Website. This project was finalist for Microsoft Imagine Cup.

 

  • eiE: Location aware social app for windows phone. To tag remarks to a location. Detail is available here. Download it from store.

 

  • Hasher:Hasher is a very tiny nuget package to generate Guid salt and corresponding password hash (sha2) and later to verify if the password is correct w.r.t. stored salt and hash value. Available as Nuget package.

 

  • libann:A library to implement and train neural network using c++ amp. It uses GPU with a++ amp for calculating result in each layer. For brunched network it creates separate threads via std::thread. The code is available at Github

 

Qualification:
  • B. Tech in Computer Science and Engineering
Publishing:
  • The most ignored: May be the most powerful, effective at National Conference on Computing and Cloud Security – 2012. available Here
Recognition:
Hobby:
  • Fifa
  • SciFi/Fantasy book (Favorite Red Rising Triology)

 

If you prefer a pdf version you may download it from here.

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