HANOOK ABBIREDDY

Professional Experience

Data Processing Analyst
Nielsen IQ — January 2022 – Present
Nielsen IQ is a global leader in consumer intelligence, specializing in retail and FMCG analytics. At Nielsen IQ, I have been contributing to large-scale data analysis, visualization, and stakeholder reporting to support business decision-making.

• Data Analysis & Reporting:
  Performed in-depth data analysis on large and complex retail datasets to uncover trends, consumer behavior patterns, and sales insights. Regularly generated detailed reports to assist internal teams and clients in data-driven decision-making.
• Visualization and Dashboarding:
  Created dynamic and interactive dashboards using Power BI and Tableau to visually represent market trends, product performance, and customer insights. These dashboards helped non-technical stakeholders quickly understand the key metrics and make strategic decisions.
• Database Handling and Querying:
  Worked extensively with MS-SQL and MySQL to extract, transform, and load data from various sources. Wrote complex queries for summarizing and aggregating large datasets for business use cases.
• Data Workflow Optimization:
  Worked on designing data workflows, improving data quality, and organizing the database structure for easier querying. Trained junior analysts on best practices in data hygiene and visualization standards.
• Team Management Software Development:
  Contributed to the development of an internal team management and performance tracking software. Used Power BI for dashboard integration, SQL for backend data handling, and basic Python scripts for data automation and clean-up tasks.
• Predictive and Statistical Analysis:
  Assisted senior data scientists in building predictive models and performing statistical analysis to forecast sales, analyze customer churn, and segment markets. Used tools such as Excel (with VBA) and Python fundamentals for modeling support.
• Retail Insights & Market Research:
  Conducted extensive category-specific research (e.g., beverages, frozen foods) to help clients understand consumer behavior across different markets. These insights played a key role in driving sales strategies and promotional planning for clients.
• Cross-functional Collaboration:
  Worked closely with the AI/ML, support, and analytics teams to ensure accurate interpretation of results. Played a liaison role by translating technical outputs into business-friendly narratives for both technical and non-technical stakeholders.