Ankur Kaul

Ankur Kaul

Senior Manager Data Science @ DeliveryHero

About Ankur Kaul

Ankur Kaul is a Senior Manager of Data Science at Delivery Hero in Berlin, Germany, specializing in machine learning and data processing technologies.

Current Position at Delivery Hero

Ankur Kaul serves as the Senior Manager of Data Science at Delivery Hero, based in Berlin, Germany. In this role, Ankur leads multiple teams addressing machine learning challenges, including unsupervised learning, natural language processing (NLP), and doc2vec. His responsibilities include analyzing diverse food data to enhance business insights and optimize operations.

Educational Background

Ankur Kaul completed his undergraduate studies in Computer Science at Netaji Subhas Institute of Technology from 2002 to 2006, earning a Bachelor of Engineering (B.E.) degree. Prior to that, he attended Hans Raj Model School, where he studied Science and completed his high school education from 1990 to 2001.

Expertise in Machine Learning and Data Science

Ankur Kaul specializes in utilizing machine learning techniques such as unsupervised learning, natural language processing (NLP), and doc2vec. He leverages collaborative filtering and deep learning methodologies to enhance personalized customer experiences. His expertise includes managing data science projects that analyze extensive datasets to drive strategic insights and improvements.

Technological Proficiencies and Tools

Ankur Kaul employs a wide array of technologies in his work, including Python, FastAPI, Airflow, Kubernetes, and BigQuery. He focuses on building scalable solutions that cater to the needs of nearly 100 million customers globally. His proficiency in these technologies enables efficient data processing and high-performance computing in data science applications.

Development of Data Pipelines and API Management

At Delivery Hero, Ankur Kaul develops data pipelines using Google Cloud and Airflow that process approximately 500 GB of data daily. He also manages APIs capable of handling over 300,000 requests per minute. These initiatives are crucial for maintaining operational efficiency and delivering high-quality services to a vast customer base.

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