Available to hire
Hi, I’m Asritha Sadu, a data analyst with over 4 years of experience across healthcare, consulting, and pharmaceutical sectors. I build data-driven solutions using SQL, Python, Power BI, and Tableau to automate reports, streamline ETL pipelines, and deliver actionable insights. I have a track record of forecasting, regression, and classification to improve business outcomes. In my work, I collaborate in Agile teams and translate complex data into clear narratives for stakeholders.
I’m passionate about turning data into decisions and helping organizations increase efficiency, governance, and reporting speed.
Skills
Language
English
Fluent
Work Experience
Data Analyst at Molina Healthcare
February 1, 2024 - November 5, 2025Designed and deployed six dynamic dashboards in Power BI and Tableau using Snowflake datasets, enabling self-service analytics for 40+ stakeholders and accelerating clinical decision-making by 2 days. Performed in-depth EDA with Python and Snowflake to uncover data latency and bottlenecks in reporting workflows, resulting in 20% SLA improvement and significant reduction in report backlog. Automated weekly compliance and billing reports via SSRS, AWS Lambda, and Power BI subscriptions, saving 4+ analyst hours weekly and boosting data delivery accuracy across teams. Refined KPI logic and performance calculations using advanced DAX measures and regression-based techniques, leading to a 35% faster load time and quicker insight delivery for executives. Implemented row-level security (RLS) and dynamic user access policies in Power BI to protect PHI, reinforcing HIPAA compliance and ensuring secure access for 100+ users. Created and maintained documentation for over 10 data models, transforma
Data Analyst at KPMG
July 1, 2022 - July 1, 2022Optimized complex SQL queries and redesigned interactive Power BI dashboards using advanced CTEs and bookmarks, cutting report load time from 9 seconds to under 3 for executive users. Led A/B testing initiatives across segmented client demographics, uncovering a 14% lift in campaign performance and marketing ROI through data-driven experimentation. Facilitated Agile collaboration with cross-functional teams using Jira workflows, aligning KPIs with evolving business goals during bi-weekly sprint cycles. Engineered robust data cleansing pipelines and implemented missing value imputation using Python and SQL, significantly improving reporting accuracy and pipeline reliability. Developed large-scale SQL reconciliation scripts for finance transactions, eliminating over 75,000 unmatched records and enhancing financial data integrity within the first quarter. Incorporated statistical summaries and hypothesis testing within Power BI dashboards, enabling the identification of regional claim den
Data Analyst Intern at Cipla
September 1, 2020 - September 1, 2020Built intuitive, audit-ready Power BI dashboards using pharmaceutical ERP data, reducing manual reporting time by 60% for compliance and QA teams. Designed optimized stored procedures and automated ETL workflows using SSIS packages, streamline daily KPI updates and improving refresh reliability. Cleaned, transformed, and imputed noisy lab result data using Python (Pandas, NumPy), enabling proactive insights into batch rejections and quality delays. Diagnosed critical quality deviations by querying and correlating relational datasets across production, QA, and lab systems, leading to a 25% faster resolution of compliance issues tied to recurring batch failures. Designed robust predictive models to forecast demand of key drugs using historical data and seasonal trends, reducing overproduction by 18% and optimizing resource allocation. Collaborated cross-functionally with QA and operational stakeholders to gather reporting requirements, validate metrics during UAT, and increase dashboard
Data Analyst at KPMG
October 1, 2020 - July 1, 2022Engineered SQL-based ETL pipelines via Azure Data Factory and SQL Server for 12 enterprise systems, boosting extraction throughput by 45M rows per day. Delivered dynamic Power BI dashboards integrating DAX measures and dimensional modeling, reducing manual reporting time by 172 hours each month. Automated Python-driven audit data validation using Pandas and NumPy, improving data accuracy and cutting reconciliation time by 38 hours per audit. Integrated SAP BW and Excel datasets into Azure Synapse data marts, enabling seamless cross-team data access for 130 users. Visualized audit KPIs in Tableau following KPMG Lighthouse standards, improving detection turnaround by 4 days per engagement. Enhanced T-SQL stored procedures with index tuning and optimization strategies, reducing report runtimes by 3.2 minutes on average. Introduced automated data quality checkpoints via Azure Monitor and Power Automate, reinforcing integrity across 5 major audit portfolios. Designed and implemented a data
Education
Master of Science in Information Computer Science at Wichita State University
August 1, 2022 - December 1, 2023Bachelor of Technology in Computer Science at Jawaharlal Nehru Technological University
August 1, 2017 - July 1, 2021Master of Science at Wichita State University
August 1, 2022 - December 1, 2023Bachelor of Technology at Jawaharlal Nehru Technological University
August 1, 2017 - July 1, 2021Qualifications
Industry Experience
Healthcare, Life Sciences, Professional Services
Skills
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