Ajit Mandaogane
About Ajit Mandaogane
Ajit Mandaogane is a Senior Product Analyst at Credit Karma, where he has worked since 2022. He holds a Bachelor's degree in Commerce and a Master's degree in Business Analytics, and has extensive experience in data analytics, machine learning, and project management.
Work at Credit Karma
Ajit Mandaogane has been employed at Credit Karma as a Senior Product Analyst since 2022. In this role, he utilizes advanced analytics to support decision-making processes aimed at promoting business growth. His work involves applying Agile Methodology in project management and data analytics projects, ensuring efficient and effective execution of tasks. Mandaogane is based in Charlotte, North Carolina, where he contributes to the company's objectives through data-driven insights.
Education and Expertise
Ajit Mandaogane holds a Bachelor of Commerce (BCom) degree in International Business/Trade/Commerce from Devi Ahilya Vishwavidyalaya, which he completed from 2012 to 2015. He furthered his education by obtaining a Master's degree in Management Science with a focus on Business Analytics from The University of Texas at Dallas, studying from 2017 to 2019. His academic background provides a solid foundation for his expertise in predictive modeling techniques and database management.
Background in Product Analysis
Prior to his current position at Credit Karma, Ajit Mandaogane worked as a Product Analyst at 7-Eleven from 2019 to 2022. His experience in this role involved analyzing product performance and contributing to strategic decisions. Additionally, he served as a Credit Risk Analyst Intern at Sierra Auto Finance in 2018, where he gained insights into credit risk assessment. Mandaogane's professional journey began in India, where he worked as a Financial Analyst at Larsen & Toubro from 2015 to 2017.
Technical Skills and Tools
Ajit Mandaogane possesses a range of technical skills relevant to data analysis and management. He is experienced in database management using Azure Databricks, MongoDB, and MS SQL Server. Mandaogane is proficient in various business intelligence tools, including Power BI, Tableau, and Alteryx, which he uses for data visualization and reporting. He is also skilled in programming languages such as Python, SQL, and R, and has experience with libraries like Numpy, Pandas, and Scikit-learn.
Predictive Modeling and Machine Learning
Mandaogane has a strong background in predictive modeling techniques, including Naïve Bayes, Principal Component Analysis (PCA), and Random Forest. He leverages machine learning algorithms in a Big Data setting to enhance analytical capabilities. His expertise in these areas allows him to derive actionable insights from complex datasets, contributing to informed decision-making in his roles.