Preeti Tirkey
About Preeti Tirkey
Preeti Tirkey is an Analyst specializing in Data Analytics, currently employed at LatentView Analytics in Bengaluru, India. She has a background in data science and analytics, with experience in various projects and previous roles at notable companies such as Exponentia.ai and Cognizant.
Current Role at LatentView Analytics
Preeti Tirkey currently serves as an Analyst in Data Analytics at LatentView Analytics, a position she has held since 2021. Based in Bengaluru, Karnataka, she focuses on interpreting data to uncover insights that drive business decisions. Her role involves utilizing various analytical techniques and tools to analyze data trends and patterns.
Previous Experience at Exponentia.ai
Prior to her current role, Preeti worked as an Analyst in Business Intelligence at Exponentia.ai for seven months in 2021. During her time in Mumbai, Maharashtra, she contributed to data-driven projects that enhanced business intelligence capabilities, further developing her analytical skills.
Educational Background in Data Science
Preeti completed her Master of Business Administration (MBA) with a focus on Data Science and Data Analytics at SCIT - Symbiosis Centre For Information Technology from 2018 to 2020. This two-year program equipped her with advanced analytical skills and knowledge in data interpretation, essential for her career in data analytics.
Technical Skills and Projects
Throughout her career, Preeti has worked on various projects that include sentiment analysis, stock price prediction, customer churn analysis, and the development of recommender systems. Her strong interest in artificial intelligence and machine learning complements her analytical capabilities, allowing her to tackle complex data challenges.
Internship Experience
Preeti gained valuable experience through internships, including a role as a Summer Intern at the Indian Institute of Technology, Kharagpur in 2014, and as an HR Analyst Intern at Cummins Inc. in 2019. These internships provided her with practical exposure to data analysis and business processes, enhancing her professional development.