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Adarsh Anil

@adarshanil

Senior Data Analyst at Nielsen Sports automating sponsorship reporting and building dashboards for brand exposure and campaign performance.

India

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At Nielsen Sports, I analyze football competition data to measure media value, ROI, and sponsorship performance for brands and teams. I automate reporting with Python and SQL, improving reporting efficiency by 35%, and build Power BI and Tableau dashboards to track KPIs.

At Metro Mart, I analyzed audience, campaign, and media-performance data, helping improve campaign reach by 15%. I also automated Excel and Power BI reporting systems, reducing manual reporting time by 30%.

Earlier, I assessed cryptocurrency portfolio risk as a Data Analyst Intern at Cardiff University and supported analytics pipelines and dashboards at Harnham. At UST, I developed Python and C# automation tools and optimized SQL queries; in personal projects, I built a framework for streaming-quality analysis and statistical models for financial portfolio risk.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst

Current

Nielsen Sports

Feb 2026 - Present (7 months)

Analyze 5M+ data points per season across football competitions to measure media value, ROI, and sponsorship performance for 50+ brands and teams. Automate reporting workflows using Python and SQL, improving reporting efficiency by 35%.

SQL Python Power BI Tableau Data Analysis Data Cleaning Validation KPI development Report Automation Stakeholder Management

Data Analyst

Metro Mart

Sep 2024 - Jan 2026 (1 year 4 months)

Analyzed audience, campaign, and media-performance data to identify trends, performance gaps, and opportunities, improving campaign reach by 15%. Automated Excel and Power BI reporting systems, reducing manual reporting time by 30%.

Excel Power BI Data Analysis KPI development Statistical Analysis Root Cause Analysis Stakeholder Management

Data Analyst Intern

Cardiff University

Jul 2023 - Feb 2024 (7 months)

Conducted statistical risk analysis on cryptocurrency portfolios using advanced data modeling techniques. Improved risk-assessment accuracy by 25% through data validation, statistical analysis, and visualization.

Statistical Analysis Data Modeling Data Validation Visualization Risk Analysis

Data Analyst Intern

Harnham

Nov 2022 - Apr 2023 (5 months)

Designed scalable data pipelines to support reliable, accessible, and timely analytics. Developed interactive Tableau and Power BI dashboards for stakeholder decision-making.

Data Pipelines Tableau Power BI Python SQL Data Quality Automation

Software Engineer

UST

Oct 2021 - Jul 2022 (9 months)

Developed internal automation tools in Python and C#, improving workflow efficiency by 30%. Created automated testing systems, reducing software bugs by 25%.

Python C#SQL Automation Testing Query Optimization