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Rajat Dubey
Data Science & Machine Learning Operations Expert | Azure, AWS Services | Healthcare Analytics
About
Rajat Dubey is an experienced MLOps Engineer at Deloitte, with over 6 years of experience in the data analytics and problem-solving industry. He completed his Masters in Business Analytics at the Sauder School of Business at UBC, Vancouver in November 2019, where he gained skills in the pertinent tools and technologies, operations and supply chain management, marketing, and statistics. Prior to joining Deloitte, Rajat worked as a Data Scientist for London Drugs, where he was responsible for creating and implementing production-level weekly demand forecasts for over 5 million item-location combinations. He was primarily responsible for continuous integration and deployment of machine learning models, experiment tracking, and harmonizing multiple components. He also worked on building data factory pipelines and processes for data migration from Netezza to Azure cloud environment through collaboration with stakeholders across the organization. Additionally, he worked on implementing a behavioral and attitudinal customer segmentation model by combining internal customer data and external market research sources as Environics. He was primarily responsible for building data models, ML model deployment, data visualization, and model maintenance. Before joining London Drugs, Rajat worked with the world's largest pure-play data analytics firm, Mu Sigma Inc. The experience allowed him to work with clients all across the globe and domains such as retail, banking, and insurance. The intoxicating energy and curious nature of the organization left a lasting mark on the way he approaches a problem. Rajat's core competencies include data analytics, machine learning, optimization, demand forecasting, machine learning operations, Azure cloud services, Databricks, data-driven marketing, statistical tools and techniques, data visualization, product management, and business process modeling & notation. He has a strong technical background in ML, research scientist, data scientist, Azure, Databricks, product manager, CI/CD, and integration. Rajat holds a Master of Business Analytics from the UBC Sauder School of Business and a Bachelor of Technology (B.Tech.) in Electrical, Electronics, and Communications Engineering from SRM University.
Education Overview
• ubc sauder school of business
• srm university
Companies Overview
• deloitte
• london drugs
• the university of british columbia
• mu sigma
Experience Overview
7.7 Years
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Skills
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Aerospike
agile methodologies
Amazon Web Services (AWS)
analytics
Apache Spark
Application Programming Interfaces (API)
Artificial Intelligence (AI)
Azure
Backend
Business Analytics
CI/CD
Collaboration
Consulting
Continuous Integration
Data Analytics
Data Migration
Data Modeling
Data Scientist
Data Structures
Data Visualization
Databricks
Deep Learning
Distributed Systems
Docker
Dropwizard
Education
Extract, Transform, Load (ETL)
forecasting
Git
Guice
Healthcare
Integration
Inventory Management
Java
Kafka
Kubernetes
Leadership
Machine Learning (ML)
market research
marketing
Microservices
Microsoft Azure
MLOps
MySQL
Natural Language Processing (NLP)
Neural Networks
NumPy
operations
optimization
Pandas
Pandas (Software)
Payments
Problem solving
Product Management
product manager
Random Forest
Redux
Research
Research Scientist
Retail
sas
Scrum
social media
Software Engineer
Spring
Spring Boot
statistics
supply chain management
XGBoost
Contact Details
Email (Verified)
rajXXXXXXXXXXXXXXXXXXXXXXomMobile Number
909XXXXX54Education
ubc sauder school of business
Master of Business Analytics
2018 - 2019
srm university
Bachelor of Technology (B.Tech.)
2011 - 2015
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