Arivu M.
Analytics, Data Science @ Uber Freight
- Role
- Analytics, Data Science at Uber
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Arivu M.
I am a Data Science Leader with over 20 years of experience building and scaling high-impact analytics organizations within high-growth, matrixed tech companies like Uber Freight, Groupon, and Electronic Arts. My career has been defined by a simple philosophy: Data Science shouldn\'t just exist to provide insights—it should be the engine that runs the business.Throughout my journey, I’ve navigated the complexities of global marketplaces and diverse business models, from the high-frequency engagement of Gaming to the conversion-driven world of E-commerce and the operational intricacies of Logistics.I am passionate about building data cultures that value methodological rigor, standardizing experimentation frameworks (A/B/n) across global markets, and fostering environments where senior technical talent can thrive.Let’s connect if you’re interested in talking about Product Data Science, Marketplace Dynamics, or the future of AI in Logistics.
Experience
Analytics, Data Science
Oct 2019 — Present · San Francisco, CA, US
Education
The University of Texas at Austin
Post Graduate Program, Artificial Intelligence and Machine Learning
IBM Advanced Career Education
Advanced Certificate in Software Engineering, Computer Science
Harvard Business School Online
Business Analytics Certification
2018
Madurai Kamaraj University
Bachelor of Engineering, Mechanical Engineering
Skills
- Big Data
- Dimensional Modeling
- Hive
- Data Warehousing
- Cognos
- Spark
- Informatica
- Data Integration
- Hadoop
- Data Marts
- Database Design
- Sas
- Oracle
- Data Mining
- Requirements Analysis
- Platfora
- Extract, Transform, Load (Etl)
- Etl
- Enterprise Software
- Analytics
- Sdlc
- Databases
- Data Warehouse Architecture
- Business Intelligence
- Relational Databases
- Olap
- Business Objects
- Sql
- Business Intelligence Tools
- Data Modeling
- Teradata
- Tableau
- Performance Tuning
- Pl/Sql
- R
- Microstrategy
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