Ayan Raza

• Conducted thorough web-based research to verify information, validate AI-generated outputs, and gather supporting evidence — developing subject matter expertise across diverse research and analysis tasks while maintaining high data accuracy standards.
Collaborated with LLMs and internal AI tools to complete complex analytical and annotation tasks.

• Conducted in-depth web-based research and exploratory data analysis (EDA) across structured financial datasets to collect, validate, and maintain high-quality data — identifying risk indicators and ensuring data integrity throughout the processing
pipeline.

• Completed a customer churn analysis simulation, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach.
• Conducted efficient data analysis using Python, including Pandas and Numpy. Employed data visualization techniques for trend interpretation.

• In a virtual experience with Accenture, I analyzed datasets to identify trends in content consumption and engineered a Power BI dashboard to improve reporting accuracy.
• I also prepared presentations to communicate insights effectively to stakeholders.

• As a Power BI Intern, I developed data visualizations that identified key trends from over 10,000 customer records, enhancing loan approval accuracy.
• I optimized datasets using Excel and SQL, designed data models, and created predictive dashboards for stakeholders.

Grade: 8.32

Graduated with a Bachelor of Technology with major in Computer Science & Engineering with a focus on technical skills such as Python, SQL, Excel, Power BI, Data analytics and Machine Learning. Developed a strong foundation in data analysis and automation techniques.