Hari Chandana Kesari
Professional Summary
Experienced Data Analyst with 2 years of experience specializing in health informatics, data visualization, and process automation. Proficient in Python, SQL, Power BI, and Tableau to design analytical dashboards and optimize data workflows. Improved reporting efficiency by 25% through automation and validation initiatives. Focused on transforming healthcare data into actionable insights to enhance clinical outcomes and operational efficiency.
Technical Skills
Work Experience
- Reviewed and analyzed over 15,000 patient care and clinical workflow records using Excel and SQL, identifying inefficiencies and improving reporting accuracy.
- Designed and maintained 10+ electronic health record dashboards by integrating Power BI and Tableau, supporting hospital-wide operational planning and efficiency.
- Resolved discrepancies in medical and billing data by applying advanced data validation and cleansing techniques, ensuring data integrity and reducing errors by 25%.
- Implemented automated reporting systems using Excel macros and SQL scripts, reducing manual data entry time and improving report generation speed.
- Developed monthly clinical quality KPI reporting by building a SQL-driven dataset and interactive Power BI dashboards, reducing manual compilation effort and accelerating reporting turnaround time by 40%.
- Developed automated ETL pipelines using Python, SQL, and Power BI, streamlining data processing workflows and improving overall reporting efficiency across client analytics projects.
- Evaluated 100,000+ business records to extract actionable insights on customer behavior, supporting strategic initiatives that boosted client retention.
- Optimized data validation and cleansing procedures using Pandas and Tableau, resolving inconsistencies and improving dashboard accuracy by 15%.
- Collaborated with a cross-functional team of 8+ analysts and engineers to design scalable BI solutions, earning client recognition for improving data-driven insight delivery speed.
- Automated KPI reporting using Python (Pandas), SQL, and Power BI, reducing report prep time by 40%.
- Analyzed 10,000+ patient treatment records in Excel to uncover procedure trends, improving clinical data organization and accelerating evidence-based decision-making by 25%.
- Developed automated spreadsheets for appointment scheduling and inventory tracking, streamlining hospital operations and reducing manual errors by 30%.
- Eliminated data inconsistencies across 5,000+ clinical records by enforcing Excel validation rules and automating pivot-table checks, improving reporting accuracy and reducing rework by 30%.
- Coordinated cross-functionally with 12 administrative and clinical staff to maintain patient databases, ensuring 100% adherence to hospital data standards and improving workflow coordination across departments.
- Streamlined weekly procedure reporting by automating pivot-table summaries and formulas in Excel, reducing manual effort by 35%.
Education
Certifications
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