SARANKEERTHI D

• Analyzed large datasets using Power BI and Excel to identify trends and patterns, informing data-driven decisions.
• Utilized Python for data cleaning, transformation, and statistical analysis to enhance data quality and support analytical initiatives.
• Optimized SQL queries for faster processing times, increasing overall productivity within the team.

“During my Data Scientist internship, I worked with Python, SQL, and real-world datasets. I handled data cleaning, automation scripts, and analytical tasks, which improved my problem-solving mindset. This background helps me troubleshoot issues logically, document steps clearly, and understand technical systems better — which is important for a Support Analyst role.”

• Cleaned, transformed, and validated large datasets using Python and Excel, ensuring data integrity and accuracy for analysis.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Conducted in-depth data analysis to identify opportunities for process improvement and cost reduction, presenting findings to management.

• Managed and optimized digital advertising campaigns across Instagram and YouTube, resulting in a measurable improvement in click-through rates and conversion rates.
• Utilized Google Analytics and other analytics tools to track campaign performance, identify areas for improvement, and optimize marketing spend.