Balvinder Singh Uppal
About Balvinder Singh Uppal
Balvinder Singh Uppal is a Data Scientist at Google with a strong background in data science and analytics, having previously worked at NielsenIQ and Carlson Analytics Lab. He holds multiple degrees in Business Analytics and Engineering and has experience in marketing, finance, and operations across various industries.
Current Role at LatentView Analytics
Balvinder Singh Uppal currently serves as a Data Scientist at LatentView Analytics, a role he has held since 2023. In this position, he applies his data science expertise to support projects for Google. His responsibilities include leveraging data analytics to address complex business challenges and providing actionable insights to improve decision-making processes.
Previous Experience at NielsenIQ
Prior to his current role, Uppal worked at NielsenIQ as a Research Analyst in Consumer Insights and Forecasting from 2020 to 2022. During his two years in this position, he gained experience working with Fortune 500 companies in the Consumer Packaged Goods (CPG) sector. He focused on translating business problems into data science hypotheses, enhancing his analytical skills and understanding of market dynamics.
Education and Expertise
Uppal holds a Master of Science in Business Analytics from the University of Minnesota - Carlson School of Management, which he completed from 2022 to 2023. He also earned an MBA in Business Intelligence Analytics and a Bachelor of Technology in Electronics and Telecommunication from SVKM's Narsee Monjee Institute of Management Studies (NMIMS) between 2015 and 2020. His educational background provides a strong foundation in data science and analytics.
Data Science Skills and Techniques
Uppal is trained in various data science techniques, including advanced machine learning methods such as Gradient Boosting, LGBM, XGBoost, and SVM. He is experienced in using PySpark (Databricks) for data processing and analysis. Additionally, he is skilled in Causal Inference and Regularization Techniques, which enhance his ability to derive insights from complex datasets.
Internship Experience
Uppal has gained valuable experience through several internships. He worked as a Data Science Intern at the Goods and Services Tax in 2019 for four months and held roles at RailTel Corporation of India Ltd as a Project Management Intern and Project Intern in 2018 and 2017, respectively. These positions contributed to his practical understanding of data science applications in various industries.