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Madhavan Sriram

Senior Manager, Machine Learning and Engineering @ Amazon | AI/ML & Data

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About

Madhavan Sriram is a highly accomplished leader in the field of Machine Learning and Engineering, with over 10 years of experience in the industry. He specializes in Artificial Intelligence and Big Data, and has a proven track record of transforming businesses through data-driven decision making. Madhavan has extensive experience utilizing various tools and frameworks to guide organizations towards becoming more customer-centric and efficient, through precise science experiments, engineering large scale data products, and strategy portfolios. Madhavan provides actionable insights to leaders and key influencers through data-driven insights and solutions, utilizing exhaustive engineering and state-of-the-art science practices in easy-to-consume storyboards supplemented with ample domain research. His areas of expertise include Machine Learning and Artificial Intelligence, Big Data Workflows using Hadoop, EMR, Apache Spark, Hudi, and more, effective storyboarding using Tableau and AWS QuickSight, MLOps and DataOps into data-driven software using CI/CD methodologies, productization in distributed computing ecosystems using AWS Big Data and Machine Learning Stack, open source software such as Apache Hive + Spark + Hudi + Parquet/Avro, no-code based prototyping such as KNIME, Alpine Data Labs, and RapidMiner, deploying Dockerised Applications for big data processing and machine learning solutions, and expertise in research in Forecasting based Machine Learning solutions. Currently, Madhavan is working as a Manager, Data Science at Amazon, leading the Data Technology and Products team to build data-driven software and products that embed science and engineering technologies into the heart of transportation planning and execution in Amazon Transportation Services. Prior to this, he worked as a TPM - Data Science at Amazon, where he built the data backbone and science research prototypes for Amazon Transportation Services using cutting-edge Big Data, Machine Learning, and AWS technologies. Madhavan also has experience working as a Senior Data Scientist at Cognizant, where he worked on various projects related to customer classification models, time series data forecasting, propensity to win models, recommendation engines, and more. Madhavan holds a Master's degree (PGDM) in Quantitative Marketing & Artificial Intelligence from the Institute of Management Technology, Ghaziabad, and a Bachelor of Engineering (B.E.) in Electrical, Electronics and Communications Engineering from Anna University. He has a strong tech stack, including ML, Data Scientist, Big Data, AWS, Research Scientist, Spark, CI/CD, Hadoop, Apache Hive, Supervised Learning, Neural Networks, and more. Mad

Education Overview

institute of management technology ghaziabad

Companies Overview

amazon

cognizant

genpact

institute of management technology

ibm

Experience Overview

13.3 Years

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xxxxxxxx@xxxx.xx

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+91XXXXXXXXXX

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Frequently asked questions

What company does Madhavan Sriram work for?

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Madhavan Sriram works for amazon

What is Madhavan Sriram role in their workplace?

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Madhavan Sriram's role in their workplace is Senior Manager, Machine Learning and Engineering

What is Madhavan Sriram's tenure in their workplace?

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Madhavan Sriram's tenure in their workplace is 2.09 years

What is Madhavan Sriram's total experience?

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Madhavan Sriram's total experience is 13.33 years

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Madhavan Sriram's LinkedIn profile can be found here

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Madhavan Sriram's email address is xxxxxxxx@xxxx.xx. Unlock here

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Madhavan Sriram's phone number is +91XXXXXXXXXX. Unlock here

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Madhavan Sriram has attended institute of management technology ghaziabad

What companies has Madhavan Sriram worked with?

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Madhavan Sriram has worked with amazon, amazon, amazon, amazon, cognizant, genpact, institute of management technology, ibm

What are some of Madhavan Sriram's skills?

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Madhavan Sriram has skills in Algorithms, Alpine, Amazon Redshift, Amazon Web Services (AWS), Apache Spark, architectures and more.

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