Preeti Mohanty
About Preeti Mohanty
Preeti Mohanty is a Business Intelligence Analyst at Mutual of Omaha, where she has worked since 2018. She specializes in data mining, statistical analysis, and predictive modeling, utilizing tools like Python, R, and Tableau to support business strategies.
Work at Mutual of Omaha
Preeti Mohanty has been employed at Mutual of Omaha as a Business Intelligence Analyst since 2018. In this role, she is responsible for conducting data mining and statistical analysis to identify patterns that inform business strategies. Her work involves implementing data quality standards and processes to ensure the integrity and accuracy of business intelligence reports. She utilizes tools like Python and R for predictive modeling, which aids in forecasting business trends and enhancing strategic planning.
Education and Expertise
Preeti Mohanty studied at MIT Professional Education, where she completed the Applied Data Science Program from 2021 to 2022. This program focused on developing her skills in data science applications. Prior to that, she earned a Bachelor of Technology (BTech) in Fashion Technology from the College of Engineering and Technology in Bhubaneswar, completing her studies from 2003 to 2007. Her educational background provides a solid foundation for her expertise in business intelligence and data analysis.
Data Analysis and Reporting Skills
In her role as a Business Intelligence Analyst, Preeti Mohanty conducts data mining and statistical analysis to derive insights that guide business strategies. She has implemented data quality standards and processes, ensuring that business intelligence reports maintain high levels of integrity and accuracy. Her proficiency in Python and R allows her to create predictive models that forecast business trends, which is essential for strategic planning.
Dashboard Development and Training
Preeti Mohanty develops interactive dashboards using Tableau, which enhances decision-making processes for business stakeholders. She also provides training sessions to end-users on data visualization tools, improving their ability to interpret and utilize data effectively. This training is crucial for empowering stakeholders to make informed decisions based on data insights.