Kshitij Khanna

Kshitij Khanna

Machine Learning Engineer Iii @ Expedia

About Kshitij Khanna

Kshitij Khanna is a Machine Learning Engineer III at Expedia Group with expertise in Azure platforms and proficiency in T-SQL, PySpark, and Python.

Company: Expedia Group

Kshitij Khanna is currently employed at Expedia Group as a Machine Learning Engineer III. He took on this role in 2024 and is located in Gurugram, Haryana, India. Prior to this, he worked at Expedia Group as a Machine Learning Engineer II from 2022 to 2024. His association with Expedia Group has enabled him to develop and refine his expertise in machine learning.

Title: Machine Learning Engineer III

Kshitij Khanna holds the position of Machine Learning Engineer III at Expedia Group. In this capacity, he undertakes advanced machine learning projects and works on developing scalable algorithms. His role involves a deep understanding of data handling and applying machine learning techniques to solve complex problems.

Education and Expertise: Bachelor of Technology from IIT Kanpur

Kshitij Khanna earned his Bachelor of Technology (BTech) degree from the prestigious Indian Institute of Technology, Kanpur. He attended IIT Kanpur from 2016 to 2020. His solid educational foundation in technology and engineering provided him with the necessary skills and knowledge to excel in his subsequent professional roles in data science and machine learning.

Previous Positions: Bajaj Finserv and Xtage Labs

Before joining Expedia Group, Kshitij Khanna worked at Bajaj Finserv as a Senior Data Engineer from 2020 to 2022 in Pune, Maharashtra, India. Additionally, he had a brief but impactful stint as a Data Scientist at Xtage Labs for two months in 2019 in the Noida Area, India. These roles contributed to his growing expertise in data engineering and data science.

Technical Skills: Azure, T-SQL, PySpark, Python

Kshitij Khanna has considerable experience working with Azure platforms, including Azure Data Factory, Databricks, and Logic Apps. He is proficient in programming languages such as T-SQL, PySpark, and Python, which are essential for data processing and machine learning tasks. Additionally, he has expertise in handling file formats like AVRO, PARQUET, and DELTA, and working with Oracle Databases, Enterprise Data Warehouses, and Data Lakes.

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