HARINI KALAIVANAN
Data Analyst
Profile summary
Data Analyst with 2+ years of experience in SQL, Python, Power BI, and Tableau. Designed automated reporting pipelines and built interactive dashboards, delivering actionable insights to stakeholders. Dedicated to data quality, cross-functional collaboration, and measurable business impact.
Career highlights
Automated Data Reporting Efficiency: Reporting Automation: Reduced manual reporting effort by 40% at Guidehouse, developing automated data workflows with Python (Pandas).
Scalable Financial Data Analysis: Data Management: Managed and validated over 5 million financial records using complex SQL queries with window functions and aggregations.
Predictive SLA Monitoring: [Client Relations]: Anticipated SLA breaches for healthcare clients through predictive modeling and trend analysis, enabling proactive intervention.
Key skills
Professional experience
* Developed 10+ interactive dashboards tracking financial KPIs, cost trends, and budget vs. actuals for senior management. * Automated data ingestion and transformation workflows using Python (Pandas), reducing manual effort by ~40%. * Analyzed enterprise expense data across cost centers to identify inefficiencies and cost-saving opportunities. * Extracted and validated financial data exceeding 5M+ records using complex SQL queries. * Performed EDA and statistical trend analysis to detect anomalies and support forecasting. * Collaborated with finance, operations, and IT teams to deliver analytics solutions. * Documented data definitions and reporting logic for auditability and knowledge transfer.
- Developed and maintained 10+ interactive Power BI and Tableau dashboards tracking financial KPIs and cost trends.
- Automated data workflows using Python, reducing manual reporting effort by ~40%.
- Analyzed enterprise expense data across multiple cost centers to identify cost-saving opportunities.
- Wrote complex SQL queries to extract and validate data from datasets exceeding 5M+ records.
- Performed EDA and statistical trend analysis to detect anomalies and support forecasting.
- Led automated data workflows for SLA reporting across 3 healthcare clients, reducing report prep time. - Applied trend analysis and predictive modeling to anticipate SLA breaches, improving resolution rates. - Built real-time Power BI dashboards tracking SLA compliance and incident volumes for Pacific Health Services. - Analyzed 2+ years of stock data for Granit Bank, identifying volatility patterns and delivering market indicator dashboards.
- Designed automated workflows for ServiceNow incident data, significantly cutting report preparation time.
- Applied predictive modeling to anticipate SLA breaches and improve service resolution rates.
- Built real-time Power BI dashboards for Pacific Health Services to track SLA compliance.
- Analyzed 2+ years of stock data for Granit Bank, tracking 15+ market indicators.
- Cleaned and validated large datasets from multiple source systems to ensure accuracy.
Education
XII
X