Ankit C.
About Ankit C.
Ankit C. is a Senior Data Engineer at Kinship in New York, United States, with a background in data science and engineering. He has experience in various roles across multiple companies and holds advanced degrees in Data Science and Computer Science.
Work at Kinship
Ankit C. currently serves as a Senior Data Engineer at Kinship, a position he has held since 2022. His role is based in New York, United States, and operates in a hybrid work environment. Prior to his current title, he worked as a Data Engineer at Kinship from 2021 to 2022, also in New York. His experience at Kinship contributes to his expertise in data engineering and machine learning applications.
Previous Experience in Data Engineering
Before joining Kinship, Ankit C. worked at Fannie Mae as a Data Engineer from 2020 to 2021 in Washington, District of Columbia. He also served as a Data Science Engineer at Smart Group from 2016 to 2018 in Delhi, India. These roles provided him with a solid foundation in data engineering and science, enhancing his skill set in handling complex data systems.
Education and Expertise
Ankit C. holds a Master of Science in Data Science from the New Jersey Institute of Technology, where he studied from 2018 to 2020. He also earned a Bachelor of Technology in Computer Science from GL Bajaj Institute of Technology and Management, completing his studies from 2013 to 2017. His educational background supports his expertise in machine learning concepts, cloud services, and data visualization.
Research Contributions
Ankit C. has contributed to academic research by publishing a review paper titled 'Fusion of Big Data and Healthcare: A Review' in the International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) in May 2017. This publication reflects his engagement with contemporary issues in data science and healthcare.
Technical Skills and Tools
Ankit C. possesses a diverse skill set in data engineering and machine learning. He is proficient in using cloud services such as AWS SageMaker, S3, EMR, and Redshift. Additionally, he is experienced with Apache Cassandra for large-scale data storage solutions and skilled in data visualization libraries including Matplotlib, ggplot2, Seaborn, and Plotly.