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Deepthi Pamisetty

@deepthipamisetty2

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Data and business analyst driving compliance-ready analytics and actionable insights.

United States

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What I'm looking for

I seek analytics roles that leverage predictive modeling and ETL automation, emphasize regulatory compliance, collaborative cross-functional work, and offer opportunities to influence product and risk decisions.

I am a Data & Business Analyst with 4+ years of cross-industry experience across banking, fintech, healthcare, and technology, delivering analytics solutions that support compliance, risk control, and business growth.

I build ETL pipelines and automated data workflows using tools like Spark, Hadoop, Alteryx, Azure Data Factory, and BigQuery, and develop predictive models with Python (scikit-learn) to improve decision-making, forecast trends, and protect assets.

I create interactive dashboards in Power BI, Tableau, and Looker, partner with executives and product teams to translate complex data into actionable insights, and maintain strong data governance and audit readiness for regulatory frameworks such as Basel III, GDPR, HIPAA, and 21 CFR Part 11.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

JP Morgan Chase & Co.

Jan 2025 - Present (9 months)

Consolidated financial and CRM records and built ETL workflows to reduce manual fraud checks by 30% and enable near real-time reconciliation supporting Basel III compliance; developed predictive models protecting $240M in assets.

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

Business Analyst

Airbnb

Aug 2022 - Jan 2023 (5 months)

Analyzed booking funnel and engagement events to reduce checkout abandonment and created Looker/Tableau reports that enabled pricing refinements driving $18M in incremental bookings.

SQL BigQuery Presto Python Looker Tableau Mixpanel Amplitude Jira

Data Analyst

Dell Technologies

Jul 2020 - Jul 2022 (2 years)

Built ETL pipelines and analytics on 20M+ service records to model warranty claims and reduce product return costs by $3.2M annually while cutting reporting latency from 48 to under 4 hours.

Python SQL Pyspark Hadoop Airflow Tableau Power BI AWS PostgreSQL

Data Analyst

Cipla

Jan 2019 - Jul 2020 (1 year 6 months)

Evaluated clinical trial and sales datasets and developed ETL workflows to improve compliance reporting turnaround from 7 days to 1 day and increased monthly order fulfillment by 18,000 units.