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AI Insights & Analysis
Srishti Deoras

Top 10 Data Scientists In India – 2020

The data science community is growing at a fast pace, and data science units are becoming a crucial part of the organisations across industries. From

AI Insights & Analysis
Srishti Deoras

Top 10 Data Scientists In India — 2019

Each year, Analytics India Magazine publishes the annual list of the most prominent data scientists in India. This list recognises the data science professionals who

AI Insights & Analysis
Bhasker Gupta

Top 10 Data Scientists in India – 2017

It has been two years since Analytics India Magazine took up the initiative of identifying the brains behind the excellent work that is being done

AI Insights & Analysis
Bhasker Gupta

Top 10 Data Scientists in India – 2016

Last year we took this initiative to identify Data Scientists in the country that are helping to push the industry forward. It is a grueling

AI Highlights
Analytics India Magazine

The State of Data Engineering in India: 2024

The market of data engineering in India is anticipated to expand at a CAGR of around 33.8% in the next five years growing from USD 29.1 billion in 2023 to USD 124.7 billion in 2028.

Interview & Hiring Process
Shritama Saha

Data Science Hiring Process at Epsilon

The company has multiple open positions across all levels, from senior data scientists to managerial roles, at its Bengaluru office.

AI Mysteries
Shritama Saha

Top 8 Generative AI Jobs in India

Currently, there’s a widespread trend of enhancing capabilities in generative AI across startups and major tech companies, leading to the creation of new positions, specifically for experts in LLMs.

AI Origins & Evolution
Shritama Saha

Data Science Hiring Process at PayPal

PayPal is hiring qualified individuals for three roles within the team – data scientists in product analytics, data scientists in paid marketing and data scientists (managers). 

AI Mysteries
Shritama Saha

Top 5 Use Cases of AlphaFold in Life Sciences

The open-source AlphaFold has been used extensively to find its real life usecases, including the prediction of protein structures of the COVID-19 outbreak—SARS-CoV-2.

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