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Rajiv Krishna P.
Analytics at The Home Depot
About
Rajiv Krishna P. is a seasoned Product Analytics professional with over 6 years of experience in the field. He is currently working as a Senior Data Scientist (Analytics) at Grab, the leading superapp platform in Southeast Asia. Rajiv is an expert in generating actionable and tangible insights from complex data, and his work at Grab involves specialising in this area. Prior to joining Grab, Rajiv worked as a Data Analyst at nvpc - towards a city of good, where he honed his skills in data analysis. He also worked as a Data Scientist at amaris.ai pte ltd, where he gained expertise in research and mobile technologies. Rajiv's diverse experience has equipped him with a unique perspective on the industry, and he is able to apply this knowledge to his work at Grab. Rajiv holds a Master's Degree in Business Analytics from the National University of Singapore, and a Bachelor of Engineering (B.E.) from RVCE. He has a strong technical background, and his TechStack includes Data Scientist, Research Scientist, and Mobile. Rajiv is a lifelong learner, and he is always looking for ways to enhance his skills and knowledge. In his role at Grab, Rajiv is responsible for generating insights that drive business decisions. He works closely with cross-functional teams to understand business needs and develop data-driven solutions. Rajiv's expertise in data analysis and product analytics has been instrumental in driving Grab's growth and success in the Southeast Asian market. Overall, Rajiv is a highly skilled and experienced Product Analytics professional with a passion for generating insights from complex data. He is a valuable asset to any team, and his expertise is sure to drive success in any industry.
Education Overview
Companies Overview
• the home depot canada
• grab
• nvpc towards a city of good
• amaris.ai pte ltd
• trakomatic pte ltd
Experience Overview
7 Years
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Amazon Web Services (AWS)
analytics
Apache Hive
Artificial Intelligence (AI)
Azure
Business Analytics
Business Intelligence (BI)
Collaboration
Customer Experience
Data Analytics
Data Pipelines
Data Science
Data Scientist
Education
Extract, Transform, Load (ETL)
Hive
Machine Learning (ML)
marketing
marketing strategy
Microsoft Azure
MySQL
Natural Language Processing (NLP)
Power BI
pyspark
Python
R
Research
Research Scientist
SQL
strategy
Support Vector Machine (SVM)
SVM
Tableau
Telecommunications
test
testing
Volunteering
Web
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