HARSHAD RAM THIAGARAJAN

Business Analyst with an MSc in Business Analytics from UCD Smurfit and experience at Zoho Corporation. Proficient in data analysis and Agile methodologies, utilizing tools such as SQL, Python, Excel, and Power BI to drive operational efficiency. Demonstrated ability to translate complex data into actionable insights while effectively managing stakeholder relationships. Committed to leveraging analytics to support strategic business growth initiatives.

• IIBA: Business Analysis Foundations
• Agile Requirement Foundations
• Business Benefits Realization Foundations
• Requirements Elicitation and Analysis
• Career essentials in business analysis by Microsoft and LinkedIn

Final Year Project: 

Exploring Sportswashing in Elite Football:

 Conducted an in-depth descriptive case study to explore the impact of sportswashing in elite football, focusing on ownership changes and their influence on football clubs' performance and financial health., Analyzed case studies of state-linked takeovers in clubs like Newcastle United, PSG, and Manchester City., Collected and cleaned data using web scraping techniques (BeautifulSoup) from sources like FBref and Wikipedia to compare win percentages, revenues, and league points before and after ownership changes., Generated insights into how these acquisitions were used for political propaganda while transforming the financial and performance metrics of the clubs., Provided recommendations to stakeholders, including fans and shareholders, on ethical decision-making in response to ownership changes. Power BI Dashboard: Titanic Data Analysis, Developed an interactive dashboard to analyze the Titanic dataset, providing insights into passenger demographics and survival rates. Utilized Python for data cleaning, transformation, and Power BI visualization, creating dynamic reports and key metrics like survival by class, gender, and age. Enabled stakeholders to identify trends and make data-driven decisions through interactive filters and slicers.

Developed an interactive dashboard to analyze the Titanic dataset, providing insights into passenger demographics and survival rates. Utilized Python for data cleaning, transformation, and Power BI visualization, creating dynamic reports and key metrics like survival by class, gender, and age. Enabled stakeholders to identify trends and make data-driven decisions through interactive filters and slicers.