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pavan kishore

@pavankishore

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Insight-driven Data Analyst delivering BI, ML, and ETL solutions.

United States

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What I'm looking for

I seek a data role where I can build scalable BI and ML solutions, automate ETL, collaborate cross-functionally, and drive measurable business impact in a growth-minded team.

I am an insight-driven Data Analyst with 3+ years of experience building business intelligence solutions, predictive models, and automated ETL pipelines across healthcare and product domains. I design scalable dashboards, implement ML and NLP solutions, and reduce manual reporting to accelerate data-driven decisions.

At Cardinal Health and Deloitte I engineered SQL-based pipelines on AWS, launched Power BI/Looker dashboards that saved 125+ hours/month, and influenced seven-figure strategic investments through actionable insights. I collaborate cross-functionally to define KPIs, surface revenue opportunities, and deliver measurable operational impact.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

CardinalHealth

Oct 2024 - Present (1 year)

Designed and launched 10+ interactive Power BI and Looker dashboards, reducing manual reporting time by 125+ hours/month and improving stakeholder engagement by 40%. Engineered SQL ETL pipelines on AWS Redshift and Glue for 3M+ rows/week, cutting data refresh latency from 10 hours to under 4 hours.

SQL Power BI Looker AWS RedShift AWS Glue Python NLP ETL Dashboarding

Data Analyst

Deloitte

Jul 2021 - Jan 2023 (1 year 6 months)

Analyzed 2.5M+ transactions to identify churn segments contributing to $3.2M in client revenue retention and automated 30+ recurring reports, saving 120+ analyst hours/month. Improved forecasting with AWS Forecast, reducing overstock by 25,000 units and saving $280K.