Aatish Nandkishore Gade
About Aatish Nandkishore Gade
Aatish Nandkishore Gade is a Data Analyst with extensive experience in data analysis and machine learning. He currently works at Ford Motor Company and has previously held roles at various organizations, including HCL Technologies and the University of Central Oklahoma.
Work at Ford Motor Company
Aatish Nandkishore Gade has been employed at Ford Motor Company since 2019 as a Program Analyst. In this role, he has accumulated five years of experience in Dearborn, MI. Prior to this position, he interned at Ford as an Application Developer/Analyst for two months in 2018 in Detroit, Michigan. His work involves utilizing various tools and software to analyze data and support program initiatives.
Current Role at Resonate
Since 2022, Aatish has been working as a Data Analyst at Resonate. In this position, he applies his analytical skills and expertise in data visualization and statistical analysis to support the company's data-driven decision-making processes. His role involves leveraging machine learning algorithms and data tools to extract insights and enhance operational efficiency.
Education and Expertise
Aatish holds a Bachelor of Engineering (BE) in Computer Science from Easwari Engineering College, where he studied from 2010 to 2014. He furthered his education by obtaining a Master of Science in Business Analytics from the University of Central Oklahoma, completing his studies from 2017 to 2019. His educational background provides a solid foundation for his work in data analysis and programming.
Professional Background
Aatish has a diverse professional background in data analysis and technology. Before joining Ford, he worked as a Data Associate at the University of Central Oklahoma from 2018 to 2019. He also spent time at HCL Technologies, where he served as a Senior Analyst from 2016 to 2017 and as a Graduate Engineer Trainee from 2015 to 2016 in Chennai, India. This experience has equipped him with a range of skills in data management and analysis.
Technical Skills and Tools
Aatish is proficient in several programming languages, including Python, SAS, and SQL. He has hands-on experience with machine learning algorithms for predictive analysis and feature importance. His technical toolkit includes tools such as Git, Spyder, Pandas, Scikit-Learn, Tableau, Qlikview, Splunk, Kubernetes, and Openshift 4.4. He is also familiar with databases like MySQL and Oracle, and experienced in web technologies including HTML, CSS, JavaScript, and Bootstrap.