Sunaina Khera
About Sunaina Khera
Sunaina Khera is an Associate Director of Campaign Analytics and Productivity at UBS, with a strong background in data science and analytics. She has experience in various roles across multiple companies, including Encore Capital Group and Tata Consultancy Services, and holds a Master's degree in Business Analytics.
Work at UBS
Sunaina Khera has been serving as the Associate Director of Campaign Analytics & Productivity at UBS since 2022. In this role, she focuses on leveraging data analytics to enhance campaign effectiveness and productivity. Her position is based in Weehawken, New Jersey, where she applies her extensive knowledge in business intelligence and statistical techniques to drive data-informed decisions.
Previous Experience at Encore Capital Group
Before joining UBS, Sunaina Khera worked at Encore Capital Group from 2019 to 2022. She held the position of Business Analyst, focusing on strategic and data analysis. In 2022, she advanced to the role of Senior Business Analyst for a period of five months. During her tenure, she worked with large datasets related to credit risk and debt recovery, contributing to the company's data-driven strategies.
Internship at Chicago Transit Authority
In 2019, Sunaina Khera completed a four-month internship as a Data Science - Capstone Project Intern at the Chicago Transit Authority. This experience allowed her to apply her analytical skills in a real-world environment, contributing to projects that aimed to improve transit operations and services in the Greater Chicago Area.
Educational Background
Sunaina Khera holds a Bachelor's degree in Instrumentation and Control Engineering from Guru Gobind Singh Indraprastha University, which she completed from 2009 to 2013. She furthered her education by obtaining a Master's degree in Business Analytics from the University of Illinois at Chicago in 2019. This educational foundation supports her expertise in data analysis and business intelligence.
Technical Skills and Expertise
Sunaina Khera possesses a strong technical skill set, proficient in business intelligence tools such as Tableau and Power BI. She is knowledgeable in statistical techniques including Linear and Logistic Regression, Classification, and Clustering. Additionally, she is experienced in programming languages such as Python, Java/J2EE, and C++, and familiar with database technologies like Oracle10g and MySQL.