Aswani Kumar Arisetty
About Aswani Kumar Arisetty
Aswani Kumar Arisetty is a Senior Data Scientist at VGW, with a Master's in Data Science from the University of Sydney. He has extensive experience in programming, cloud computing, and database management, along with certifications in AWS and Tableau.
Work at VGW
Aswani Kumar Arisetty has been employed at VGW as a Senior Data Scientist since 2021. In this role, he applies his extensive knowledge in data science to contribute to various projects within the organization. His responsibilities include developing data-driven solutions and leveraging machine learning techniques to enhance business operations. His position is based in the Greater Sydney Area, where he collaborates with cross-functional teams to drive data initiatives.
Education and Expertise
Aswani Kumar Arisetty holds a Master of Data Science from the University of Sydney, which he completed from 2017 to 2018. He also earned an Artificial Intelligence Nanodegree from Udacity during the same period. Additionally, he has a Bachelor of Technology in Electronics and Communications Engineering from Gayatri Vidya Parishad College of Engineering, obtained from 2007 to 2011. His educational background is complemented by certifications, including AWS Certified Machine Learning Specialist and Tableau Certified Desktop Associate.
Professional Background
Aswani Kumar Arisetty has a diverse professional background in data science and software engineering. He began his career at Wipro as a Senior Software Engineer from 2008 to 2013. He then transitioned to Fidelity Investments, serving as a Senior Database Developer from 2013 to 2015, followed by a role as Database Development Lead at Credit Suisse from 2015 to 2016. His career reflects a strong progression through various technical roles, focusing on database development and data science.
Technical Skills and Certifications
Aswani Kumar Arisetty demonstrates proficiency in multiple programming languages, including Java, C, Python, and R. He has practical experience with containerization and orchestration tools such as Docker and Kubernetes. His technical skills extend to building distributed data and machine learning pipelines using Apache Spark and Spark ML. He is also adept at working with relational databases like Oracle, MySQL, and SQL Server, as well as NoSQL databases such as MongoDB.