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Avi Suri

@avisuri

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Data analyst skilled in SQL, Python, and actionable data visualization.

United States

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What I'm looking for

I seek a data role where I can apply SQL, Python, and Tableau to solve business problems, collaborate cross-functionally, and build automated, scalable analytics that improve decision-making and product outcomes.

I am a data analyst with hands-on experience cleaning, analyzing, and visualizing large datasets using SQL, Python, and Tableau to drive product and business decisions. I have delivered measurable improvements—reducing data retrieval time, improving database accuracy, and increasing customer engagement—through regression analysis, automation, and cross-functional collaboration.

My academic projects and internships span database design, object-oriented development, and interactive dashboarding, where I led teams, engineered multi-table databases and automated reporting that improved financial and operational accuracy. I bring pragmatic problem solving, strong communication with stakeholders, and a focus on building scalable data solutions that accelerate project delivery and informed decision-making.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

NexaHealth

Jun 2024 - Aug 2024 (2 months)

Cleaned and analyzed user behavior data with SQL and Python, built interactive Tableau dashboards for product and marketing teams, and automated weekly performance reports to reduce manual work by 40%. Collaborated cross-functionally to improve collaborative data accuracy by 20% and supported stakeholder presentations that improved project delivery success by 15% within six months.

SQL Python Tableau Data Cleaning Dashboarding Automation)Cross Functional Collaboration Reporting Data Visualization

Data Analyst Intern

Lakmé Salons

May 2022 - Aug 2022 (3 months)

Maintained and optimized large product and service databases using SQL and Excel, reducing data retrieval time by 20% and improving database accuracy by 30% through regression analysis and sample-size determination. Interpreted customer profile data to guide product enhancements that increased customer engagement by 10% and resolved data discrepancies across 100+ datasets using SQL and Python.

SQL Excel Python Data Cleaning Database Management Data Integrity Troubleshooting Tableau

Education

Degrees, certifications, and relevant coursework

University of Maryland, College Park

Bachelor of Science, Information Science

2020 - 2024

Activities and societies: Capstone project analyzing phone usage data; courses/projects in Database Design, Object-Oriented Programming, and Data Visualization; internships as Data Analyst at Lakmé Salons (Unilever) and NexaHealth.

Completed a Bachelor of Science in Information Science with coursework and projects focused on data analysis, database design, and visualization using Python, SQL, and Tableau.