Open to opportunities

Deepthi User

@deepthiuser6

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Data & Business Analyst specializing in SQL, Python, ETL pipelines, and analytics-driven decision-making.

United States

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What I'm looking for

I seek a data role where I can build scalable ETL pipelines, drive analytics for executive decisions, maintain strong data governance, and contribute to cross-functional teams.

I am a Data & Business Analyst with over four years of cross-industry experience in banking, fintech, healthcare, and technology, focused on SQL, Python, and analytics-driven decision-making.

I build ETL pipelines and automated data workflows using PySpark, Hadoop, Airflow, Alteryx, and SSIS, and I design interactive executive dashboards in Power BI, Tableau, and Looker to accelerate decision-making.

My work has reduced manual effort, cut costs, and supported compliance — for example, protecting $240M in assets through predictive modeling, saving $3.2M in product return costs, and reducing cloud spend by $1.1M.

I emphasize data governance, regulatory compliance, and cross-functional collaboration, and I bring experience integrating AWS and Azure DevOps for automated validation and scalable analytics solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

JPMorgan Chase & Co.

Jan 2025 - Present (1 year)

Consolidated financial and CRM records and built ETL workflows to accelerate reconciliation and support Basel III compliance, reducing manual fraud checks by 30% and saving 1,200+ analyst hours annually. Developed predictive models for 1.5M accounts to strengthen risk-adjusted lending and protect $240M in assets.

SQL Python Spark Hadoop Alteryx Power BI Tableau scikit learn AWS Azure DevOps

Business Analyst

Airbnb

Aug 2022 - Jan 2023 (5 months)

Analyzed booking funnel events and built Looker/Tableau reports to reduce checkout abandonment and drove pricing changes that generated $18M in incremental bookings. Implemented forecasting models and behavioral analytics to prevent overbooking across 25 cities.

SQL BigQuery Presto Python Looker Tableau Amplitude Mixpanel Jira

Data Analyst

Dell Technologies

Jul 2020 - Jul 2022 (2 years)

Built ETL pipelines and optimized data warehouses to process 20M+ service records, reducing reporting latency from 48 to under 4 hours and cutting product return costs by $3.2M annually. Implemented cloud cost optimizations that reduced AWS spend by $1.1M per year.

Python Pyspark Hadoop Apache Airflow SQL PostgreSQL MongoDB Tableau Power BI AWS

Data Analyst

Cipla

Jan 2019 - Jul 2020 (1 year 6 months)

Evaluated clinical trial datasets and developed ETL workflows to improve audit reporting turnaround from 7 days to 1 day, modeled outcomes to reduce wastage by ₹2.3 crore annually, and increased monthly order fulfillment by 18,000 units through supply-chain insights.