Experience

Trellix

• United States
• Computer and Network Security
• 700 & Above Employee

• Director Data Science

  • Mar 2023 - Present

  Machine Learning for Cyber Security Machine Learning for Cyber Security



Amazon

• United States
• Software Development
• 700 & Above Employee

• Senior Data Scientist

  • Dec 2021 - Jan 2023

  Digital Advertising is a challenging business. There are multiple threats to smoothly running this business. For example advertisement fraud, cyber security. I have joined "Amazon Digital Advertising Technology" team to solve some these challenging problems in digital advertising. Digital Advertising is a challenging business. There are multiple threats to smoothly running this business. For example advertisement fraud, cyber security. I have joined "Amazon Digital Advertising Technology" team to solve some these challenging problems in digital advertising.



Quick Heal

• India
• Software Development
• 700 & Above Employee

• Chief Data Scientist

  • Apr 2021 - Nov 2021

  Role:- Lead a team of data scientist and software engineeres to build ML based cyber security products.- Working with product management and application development team to identify products where Machine Leanring can improve current solution.Projects:-Dynamic Malware Detection using Machine Learning.-Malware Signature Generation using Deep Learning.-Static Malware Detection using Machine Learning.- URL Categorization using Machine Learning.

• Data Science Architect

  • Jun 2020 - Mar 2021

  Role:- Lead a team of data scientist and software engineeres to build ML based cyber security products.- Working with product management and application development team to identify products where Machine Leanring can improve current solution.Projects:- Research on building File Reputation system using Machine Learning.- Built File Reputation systems for PE file and Non-PE file types.

• Machine Learning Architect

  • Aug 2019 - May 2020

  Role:- Lead a team of data scientist and software engineeres to build ML based cyber security products.- Working with product management and application development team to identify products where Machine Leanring can improve current solution.



NICE Actimize

• United States
• Software Development
• 700 & Above Employee

• Senior Specialist Data Scientist

  • Feb 2017 - Jul 2019

  Role: - Mentor a team of data scientist and software engineeres to build ML based banking fraud detection solutions - Research on application of Machine Learning in Banking Fraud Detection. - Hire, Train and Mentor large team of data scientist for R&D and Professional Services Team -Working with product management and application development team to identify products where Machine Leanring can improve current solution. Projects: -Internet Banking Fraud prediction using Machine Learning. -Mobile Banking Fraud prediction using Machine Learning. -Building Machine Learning Model Development Platform using KNIME. -Build Algorithms to generate model explanation for XGBoost and Random Forest. -Segmentation in AML(Anti Money Laundering) data sets using Spectral Clustering, GMM Clustering. Show less



TMF Group

• Netherlands
• Financial Services
• 700 & Above Employee

• Technology Development Manager-Customer Analytics

  • Apr 2016 - Jan 2017

  -Identify areas where analytics can be implemented. -Develop prototypes -Implement the solution enterprizewide -Identify areas where analytics can be implemented. -Develop prototypes -Implement the solution enterprizewide



Atos

• France
• IT Services and IT Consulting
• 700 & Above Employee

• Senior Manager (Data Science)

  • Apr 2014 - Mar 2016

  Role: - Built a data science competency in India. - Hire, Train and Mentor large team of data scientist data science project delivery from India. - Responding to customer RFP's on Machine Learning based solutions. Projects: - Sensor Failure prediction in oil and gas drilling equipment using Machine Learning. - Campaign Response Modeling using machine learning for airline customers. - Customer churn modeling using machine learning for airline customers . Role: - Built a data science competency in India. - Hire, Train and Mentor large team of data scientist data science project delivery from India. - Responding to customer RFP's on Machine Learning based solutions. Projects: - Sensor Failure prediction in oil and gas drilling equipment using Machine Learning. - Campaign Response Modeling using machine learning for airline customers. - Customer churn modeling using machine learning for airline customers .



Nalco Water, An Ecolab Company

• United States
• Chemical Manufacturing
• 700 & Above Employee

• Sr. Research Engineer(Data Scientist)

  • Dec 2012 - Mar 2014

  Role: - Identify areas where Machine Learning can be used to solve problems in core industry. - Build POC's for identified use cases. Projects: - Industrial Alarm Automation using K-Means clustering. - Faulty Sensor Prediction using machine learning Logistic Regression. - Cross-Sell recommendation using Descriptive Data Analysis for water cooling systems. Role: - Identify areas where Machine Learning can be used to solve problems in core industry. - Build POC's for identified use cases. Projects: - Industrial Alarm Automation using K-Means clustering. - Faulty Sensor Prediction using machine learning Logistic Regression. - Cross-Sell recommendation using Descriptive Data Analysis for water cooling systems.



Mindtree

• India
• Information Technology & Services
• 700 & Above Employee

• Asst Manager Analytics

  • May 2011 - Dec 2012

  Role: - Hire, Train and Mentor large team of data scientist data science project delivery from India. - Responding to customer RFP's on Machine Learning based solutions. Projects: - Cross-Sell\Up-Sell Modeling using machine learning for CPG industry using Machine Learning. - Product Churn Prediction using machine learning for CPG industry using Machine Learning. Role: - Hire, Train and Mentor large team of data scientist data science project delivery from India. - Responding to customer RFP's on Machine Learning based solutions. Projects: - Cross-Sell\Up-Sell Modeling using machine learning for CPG industry using Machine Learning. - Product Churn Prediction using machine learning for CPG industry using Machine Learning.



IDeaS Revenue Solutions

• United States
• Hospitality
• 700 & Above Employee

• Sr. Research Specialist

  • Mar 2004 - Jan 2011

  Forecasting & Optimization Model Tuning in Descriptive Data nalysis (Multiple Such Projects). Customer Segmentation K-Means Clustering(Multiple Such Projects). Marketing Analytics for hotel customers using Logistic Regression and Decision Trees. Forecasting & Optimization Model Tuning in Descriptive Data nalysis (Multiple Such Projects). Customer Segmentation K-Means Clustering(Multiple Such Projects). Marketing Analytics for hotel customers using Logistic Regression and Decision Trees.