Preetham Vadde Sr Data Analyst

Senior Data Analyst

American Airlines

Jan 2023 - Current (3 years 6 months)

Leveraged SQL and Python to automate daily operational analysis of over 500,000 records, achieving 99% data accuracy and enabling data-driven decisions across the organization. Developed interactive dashboards using Tableau, Power BI, and Looker, reducing reporting time by 30% and saving 15+ hours weekly. Utilized advanced analytics tools to extract actionable insights from structured and unstructured data, boosting operational performance by 20%. Implemented real-time data processing with Databricks and dbt, cutting query times by 20% and enabling dynamic KPI tracking. Standardized data reporting across multiple departments using SQL and Python automation techniques, improving accuracy by 30%. While LeadSimple, a CRM tool, is not directly

Senior Data Analyst

Baylor Scott & White Health

Aug 2021 - Dec 2022 (1 year 5 months)

Achieved 98% accuracy in analyzing over 1M patient records using SQL, SAS, and healthcare platforms (Epic, Cerner), supporting clinical decision-making. Reduced data analysis time by 30% by developing 20+ healthcare dashboards in Tableau and Power BI, providing quicker insights for patient care improvements. Improved patient care metrics by 15% through advanced statistical analysis using Python and R on structured/unstructured healthcare data. Decreased patient wait times by 20% through effective data mining and resource allocation recommendations. Ensured 100% regulatory compliance and reduced report preparation time by 30% through automation of state-mandated healthcare reports. Additionally, I leveraged various advanced tools and technol

Programmer Analyst

HDFC Bank

Jan 2019 - Apr 2021 (2 years 4 months)

Processed and analyzed 1M+ daily financial transactions using SQL, maintaining 98% data accuracy for compliance and executive reporting. Reduced customer churn by 10% through SAS-based statistical analyses on loan and credit data, optimizing retention strategies. Decreased data integration times by 30% by building ETL workflows (Informatica PowerCenter, Azure Data Factory) to handle 500,000+ records daily. Streamlined pipelines with dbt and Snowflake, cutting data processing time by 25%, expediting risk analysis and financial auditing. Collaborated with stakeholders to refine reporting needs, improving claims processing accuracy by up to 25% and aligning deliverables with business goals. Additionally, I utilized Python for automating repeti

Data Analyst

General Mills

Jan 2018 - Dec 2018 (1 year)

Processed 1M+ data queries monthly using SQL/Databricks, ensuring 99% data accuracy and enabling high-confidence reporting. Reduced manual data processing by 40% through Python/R automations, improving statistical analysis and reporting efficiency. Designed and implemented 20+ interactive dashboards tracking sales and marketing KPIs, cutting report turnaround time by 30%. Optimized inventory management with ML models, reducing stockouts by 20% and boosting supply chain efficiency. Led data migration initiatives from legacy systems to modern databases like Azure SQL / Blob Storage, verifying data integrity and mapping accuracy.

Preetham Vadde

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