Ankur Rajpoot
About Ankur Rajpoot
Ankur Rajpoot is a Lead Data Analyst at Keap, specializing in cloud architecture and analytics tools. With a strong background in data science and extensive experience across various roles, he has developed advanced skills in statistical modeling and data visualization.
Work at Keap
Ankur Rajpoot has been serving as the Lead Data Analyst at Keap since 2021. In this role, he focuses on leveraging data analytics to drive business decisions and improve operational efficiency. His responsibilities include managing data quality and utilizing advanced analytics tools to support marketing operations. Prior to his current position, he worked at Keap as a Data Quality Manager in Marketing Operations from 2019 to 2021, where he contributed to enhancing data integrity and optimizing marketing strategies.
Education and Expertise
Ankur Rajpoot holds a Master of Science (M.S.) in Business Analytics (Data Science) from the Naveen Jindal School of Management at UT Dallas, completed between 2016 and 2018. He also earned a Bachelor's degree in Computer Science and Engineering from Gyan Ganga Institute of Technology & Sciences from 2008 to 2012. His expertise includes cloud architecture, particularly with Google Cloud Platform, and he possesses advanced skills in statistical modeling techniques and data visualization.
Professional Background
Ankur Rajpoot has a diverse professional background in data analysis and software development. He began his career at Tata Consultancy Services as a Software Developer in 2013, transitioning to a Data Analyst role at the same company until 2016. He then worked as a Provider Data Consultant at UnitedHealth Group from 2018 to 2019. Additionally, he gained experience as a Student Worker at The University of Texas at Dallas from 2017 to 2018, which contributed to his foundational knowledge in data handling and analysis.
Technical Skills
Ankur Rajpoot is proficient in various programming languages and analytics tools. He utilizes Python libraries such as pandas, numpy, and scikit-learn for data science applications. His skills extend to data visualization tools like Tableau, Looker, Matplotlib, and Seaborn. He is also experienced in managing databases, including Google BigQuery, Oracle 11g, PostgreSQL, and Apache Hive. Ankur employs SQL and Python for data analysis and has familiarity with methodologies such as Agile and OOAD.