Chanchal Ganrai
About Chanchal Ganrai
Chanchal Ganrai is a Sr. Analytic Data Engineer at General Mills in Minneapolis, Minnesota, with a background in data engineering and business analytics.
Current Role at General Mills
Chanchal Ganrai currently holds the position of Sr. Analytic Data Engineer at General Mills, located in Minneapolis, Minnesota. In this role, Chanchal is responsible for advanced data analytics work, which contributes significantly to decision-making processes within the company. His responsibilities likely involve the application of his extensive skills in machine learning, data management, and predictive modeling.
Past Experience at Quantiphi
Between 2019 and 2021, Chanchal Ganrai worked as a Data and Cloud Engineer at Quantiphi in the Greater Boston Area. During his tenure, he was involved in various data-centric projects that required leveraging cloud technologies and data engineering techniques. This role enhanced his expertise in handling large data sets and optimizing data processing workflows.
Education at UT Dallas
Chanchal Ganrai completed his Master's degree in Business Analytics from the Naveen Jindal School of Management at the University of Texas at Dallas, from 2018 to 2020. Here, he acquired advanced analytical skills and theoretical knowledge, empowering him to solve complex business problems through data-driven decision-making.
Early Career at Tech Mahindra
From 2013 to 2016, Chanchal Ganrai served as a Data Engineer at Tech Mahindra in India. Within the retail domain, he gained substantial experience in data management, data analysis, and building forecasting models. This role provided him with practical exposure to the intricacies of handling and analyzing data within a corporate environment.
Technical Skills and Tools Proficiency
Chanchal Ganrai is proficient in various data tools and programming languages such as R Studio, Python, SQL Developer, and Azure ML. He also possesses strong skills in Microsoft Excel, including Pivot Tables and LOOKUPS, and is adept at using CRM platforms, Google Analytics, and Tableau for data visualization. His machine learning expertise encompasses techniques like Regression Analysis, Linear Regression, Logistic Regression, and Clustering.