Deviprasad Pandey

About Deviprasad Pandey

I am Deviprasad Pandey, an accomplished Data Science and Analytics professional with over 23 years of experience in driving innovation and operational excellence within the market research industry. My expertise lies in designing and deploying end-to-end machine learning solutions, predictive models, and data processing frameworks that are tailored to meet strategic business needs. Currently, I serve as the Associate Director of Data Science at NielsenIQ India, where I lead transformative analytics projects that deliver measurable impact.Throughout my career, I have successfully orchestrated cross-functional initiatives, optimized resource utilization, and aligned data science capabilities with business goals. I am proficient in Python, R, Power BI, and Tableau, and I have a strong statistical acumen that allows me to synthesize complex data into intuitive insights. I am passionate about fostering innovation and cultivating a collaborative culture that enhances engagement and output. My goal is to leverage my extensive expertise in Data Science and Analytics to deliver innovative solutions that drive business growth and improve customer understanding.

Experience

1. Associate Director Data Science

   NielsenIQ

   Nov 2014 — Present · Mumbai, IN

   In my current role, I lead initiatives within the Global Data Science Methods team, driving innovation and operational excellence across markets through advanced machine learning model development and cross-functional collaboration. I spearhead the enhancement and deployment of machine learning models for Digital Store Count (DSC) estimation, utilizing XGBoost and multi-source data to deliver highly accurate market metrics. I also orchestrated factory automation projects and standardizing analytical methodologies, while ensuring compliance and stakeholder alignment during cross-market transitions to the CIP platform.Achievements- Successfully leading the global implementation of the Digital Store Count (DSC) methodology, enhancing store estimation accuracy across multiple countries- Developed and deployed Python-based tools for streamlining data extraction processes, significantly reducing manual effort and error rates- Initiated and led innovative data collection strategies, Crowdsourcing and Video Analytics- Led SA Methods team, driving strategic workforce management and aligning regional capabilities with global priorities.

Education

• NIIT

  Diploma in Software Engineering, Computer Engineering

  1999 — 2001

• University of Mumbai

  Graduate in Mathematics, Mathematics

  1998 — 2001

• Mumbai University

  Bachelor of Science - BS, Mathematics

  1998 — 2001

• National Institute of Information Technology

  GNIIT – Systems Management, Systems Management

  1998 — 2001

Skills

• Business Development
• Training and Development
• Quantitative Research
• Marketing Research
• Client Development
• Regression Analysis
• Segmentation
• Quanvert
• Crm
• Analysis
• Spss
• Strategic Planning
• Team Management
• Market Research
• People Management
• Dimensions Tom Scripting
• Ibm Spss Dimensions Iom + Tom Trainer
• Customer Insight
• Consumer Behavior
• Analytics
• Management
• Time Management
• Cost Management
• Market Research Data Processing
• Reports for Surveys
• Project Management
• Marketing Communications
• R
• Sql
• Dimensions Iom Scripting
• Quantum
• Primary Research