Python (Pandas, NumPy, Scikit-Learn), SQL, Core Java
Power BI, Tableau, Advanced Excel Dashboards
Exploratory Data Analysis (EDA), Statistical Modeling, Data Cleaning and Preprocessing
ServiceNow, Splunk, Netcool, Jira, Microsoft Azure
SDLC/STLC, Incident Management, Infrastructure Data Monitoring
Analytical and detail-oriented Data Analyst with an MSc in Data Science and Analytics and over 3 years of experience in transforming complex datasets into actionable business intelligence. Proven expertise in Python, SQL, Power BI, and Tableau to drive data-driven decision-making. Specialized experience in managing enterprise-level data for US-based Healthcare clients, ensuring high system availability and HIPAA-compliant data handling. Adept at bridging the gap between technical data metrics and strategic business requirements in the UK and global markets.
- Data Optimization: Cleaned, transformed, and validated structured datasets to improve data quality and reliability by 15%
- Statistical Analysis: Performed Exploratory Data Analysis (EDA) using Python to identify trends, patterns, and anomalies in complex business datasets .
- Visualization: Developed analytical reports and interactive Power BI/Tableau dashboards to support operational and strategic decision-making for UK stakeholders
- Stakeholder Collaboration: Partnered with cross-functional teams to translate business requirements into actionable data insights and technical solutions
- Client & Context: Provided data-driven solutions for a major US-based Healthcare client, focusing on Clinical & Operational analytics to drive hospital outcomes improvement
- Clinical Analytics: Analyzed large-scale clinical datasets using SQL and Python to identify performance gaps and support hospital-wide clinical outcomes improvement initiatives
- Operational Intelligence: Developed automated reporting frameworks to monitor hospital operational efficiency, reducing data processing time for US healthcare administrators
- Predictive Insights: Applied statistical modeling and regression-based frameworks to patient data to forecast healthcare trends, ensuring high data integrity and compliance
- Data Infrastructure: Leveraged ServiceNow and Splunk to monitor data pipelines and system performance, ensuring 24/7 data availability for critical healthcare platforms
- Collaborative Reporting: Generated high-level performance reports and coordinated with international technical teams to resolve data-related incidents within strict SLAs