Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a Data Analyst with 4+ years of experience delivering KPI-driven insights, building automated reporting solutions, and developing scalable data pipelines across healthcare and financial domains. I translate business requirements into analytical solutions, collaborate with cross-functional teams in Agile/Scrum environments, and am committed to driving data-informed decision-making through accurate reporting, clear visualizations, and robust analytical methods.…I am a Data Analyst with 4+ years of experience delivering KPI-driven insights, building automated reporting solutions, and developing scalable data pipelines across healthcare and financial domains. I translate business requirements into analytical solutions, collaborate with cross-functional teams in Agile/Scrum environments, and am committed to driving data-informed decision-making through accurate reporting, clear visualizations, and robust analytical methods.

Poojitha Guntupalli





I am a Data Analyst with 4+ years of experience delivering KPI-driven insights, building automated reporting solutions, and developing scalable data pipelines across healthcare and financial domains. I translate business requirements into analytical solutions, collaborate with cross-functional teams in Agile/Scrum environments, and am committed to driving data-informed decision-making through accurate reporting, clear visualizations, and robust analytical methods.…I am a Data Analyst with 4+ years of experience delivering KPI-driven insights, building automated reporting solutions, and developing scalable data pipelines across healthcare and financial domains. I translate business requirements into analytical solutions, collaborate with cross-functional teams in Agile/Scrum environments, and am committed to driving data-informed decision-making through accurate reporting, clear visualizations, and robust analytical methods.

Available to hire

I am a Data Analyst with 4+ years of experience delivering KPI-driven insights, building automated reporting solutions, and developing scalable data pipelines across healthcare and financial domains.

I translate business requirements into analytical solutions, collaborate with cross-functional teams in Agile/Scrum environments, and am committed to driving data-informed decision-making through accurate reporting, clear visualizations, and robust analytical methods.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Analyst at Molina Healthcare

August 1, 2023 - Present

Designed and developed interactive Power BI dashboards for member utilization, claims aging, HEDIS quality metrics, and provider performance; automated high-volume claims and utilization datasets using Python, SQL, and ETL workflows, reducing manual reporting effort by 40% and improving data refresh reliability; conducted regression modeling, risk-score analysis, and trend forecasting to support targeted care interventions and improve accuracy of member risk stratification; integrated and validated data from AWS Redshift, S3, Oracle, and SQL Server to support regulatory audits, STAR ratings submissions, and enterprise analytics initiatives; defined KPI frameworks for claims processing TAT, denial categorizations, provider network performance, and utilization benchmarks; executed data quality checks and root-cause investigations; collaborated with product owners, clinical teams, and compliance analysts in Agile/Scrum sprints.

Data Analyst at Infosys

September 1, 2021 - August 1, 2022

Analyzed large-scale enterprise sales and delivery datasets to monitor revenue trends, pipeline health, customer churn, and operational KPIs; developed automated Power BI and Excel dashboards for senior leadership, reducing manual data compilation time by 30% and improving reporting consistency across business units; designed and optimized SQL queries, stored procedures, and validation scripts to enhance QBR reporting; improved data warehouse quality and reduced redundancy by 25% by collaborating with data engineering teams on schema optimization, resulting in faster reporting and cleaner data structures.