Summary
Overview
Work History
Education
Skills
Patent/Conference/Journal/Online Publication
Timeline
TruckDriver

Sudhir Kumar Rai

Director Engineering(Data Science)
Bangalore

Summary

- 19 years of total experience in Applied Maths/AI/ML

- 10+ year's experience in leading data science teams and delivery

- Developed AI/ML solutions for 7 different challenging domains

- Deep understanding of state-of-art AI/ML algorithms

Overview

19
19
years of professional experience
9
9
years of post-secondary education

Work History

Director Engineering(Data Science)

Trellix
Bangalore
03.2023 - Current

Role Description:

  • Report to VP Data Science & Innovation
  • Lead large team of managers, data scientist and data engineers
  • Lead entire Machine Learning delivery
  • Hire and Develop talent
  • Stakeholder management
  • Building new machine learning project pipeline for cyber security

Projects:

  • Merger and Acquisition of machine learning models from FireEye and Mcafee
  • Knowledge transfer and model handover of approx. 40 ML models
  • These 40 models cover various use case like static malware detection, dynamic malware detection, URL classification, URL categorization, Phishing Email Detection

Senior Data Scientist

Amazon
bangalore
12.2021 - 01.2023
  • Invalid Traffic detection
  • Fraudulent IP detection


Chief Data Scientist

Quick Heal Technologies
Pune
08.2020 - 12.2021

Role Description:

  • Report to Sr. Director Engineering
  • Lead a team of managers, data scientist and data engineers
  • Lead entire Machine Learning delivery
  • Hire and Develop talent
  • Stakeholder management
  • Research on new cyber security use cases using machine learning for cyber security

Projects:

  • Dynamic Malware Detection,URL Categorization
  • Static Malware Detection, File reputation
  • Malware Signature Generation,URL Classification

Senior Data Scientist

NICE Actimize
Pune
02.2017 - 07.2019

Role Description

  • Mentor a team of data scientist and software engineers
  • Research on Machine Learning in Banking Fraud Detection
  • Hire, Train and Mentor large team of data scientist for R&D
  • Worked with product management to develop banking fraud solutions

Projects

  • Internet Banking Fraud detection, Mobile Banking Fraud prediction
  • Built Machine Learning Model Development Platform
  • Model explanation for XGBoost and Random Forest
  • Segmentation in AML(Anti Money Laundering)

Customer Analytics Manager

TMF Group
Pune
04.2016 - 01.2017

Role Description

  • Drive Customer Analytics project

Projects

  • Cross-Sell/Up-Sell Modeling
  • Customer Churn Prediction

Senior Manager

ATOS
Pune
04.2014 - 03.2016

Role Description

  • Built a data science competency in India.
  • Hire, Train and Mentor large team of data scientist
  • Lead data science project delivery from India
  • Data Science RFP's submission

Projects

  • Sensor Failure prediction in oil and gas drilling equipment
  • Clustering for Airline Customer
  • Campaign response modeling for airlines

Senior Research Engineer

Nalco Ecolab
Pune
12.2012 - 03.2014

Role Description

  • Identify areas for Machine Learning adoption
  • Build POC's for identified use cases

Projects

  • Industrial Alarm Automation
  • Faulty Sensor Prediction, Cross-Sell Modeling

Assistant Manager Analytics

Mindtree
Pune
05.2011 - 12.2012

Role Description

  • Hire, Train and Mentor large team of analytics professionals
  • Lead data science project delivery
  • Responding to customer RFP's on Machine Learning

Projects

  • Cross-Sell Prediction models for CPG industry
  • Up-Sell prediction models for CPG industry

Senior Research Analyst

Ideas a SAS Company
Pune
03.2004 - 01.2011

Projects

  • Forecasting & Optimization Model Tuning
  • Cross-sell, up-sell and clustering projects for Hotels

Education

Master of Science - Data Science

India Institute of Technology
Hyderabad
08.2017 - 08.2019

Master of Science - Mathematics

University of Pune
Pune
07.2001 - 10.2005

Bachelor of Science - Mathematics

University of Pune
Pune
07.1997 - 06.2000

Skills

- Decision Tree, GBT, Random Forest

undefined

Patent/Conference/Journal/Online Publication

  - Research Paper

        Sudhir Rai, Ashish Mittal, Sparsh Mittal (2022)  A Node-Embedding 

        Features Based Machine-Learning Technique for Dynamic Malware 

        Detection In: 5th IEEE Conference on Dependable and Secure 

        Computing (DSC) (Acceptance rate 28%) Edinburgh, UK: LINK: 

        http://dx.doi.org/10.1109/DSC54232.2022.9888836


Timeline

Director Engineering(Data Science)

Trellix
03.2023 - Current

Senior Data Scientist

Amazon
12.2021 - 01.2023

Chief Data Scientist

Quick Heal Technologies
08.2020 - 12.2021

Master of Science - Data Science

India Institute of Technology
08.2017 - 08.2019

Senior Data Scientist

NICE Actimize
02.2017 - 07.2019

Customer Analytics Manager

TMF Group
04.2016 - 01.2017

Senior Manager

ATOS
04.2014 - 03.2016

Senior Research Engineer

Nalco Ecolab
12.2012 - 03.2014

Assistant Manager Analytics

Mindtree
05.2011 - 12.2012

Senior Research Analyst

Ideas a SAS Company
03.2004 - 01.2011

Master of Science - Mathematics

University of Pune
07.2001 - 10.2005

Bachelor of Science - Mathematics

University of Pune
07.1997 - 06.2000
Sudhir Kumar RaiDirector Engineering(Data Science)