

• Over 3 years of experience helping organizations turn raw data into meaningful insights using statistical analysis and clear visual reporting.
• Proficient in extracting, cleaning, and analyzing large datasets (SQL, Pandas, R, Excel).
• Skilled in developing interactive dashboards to support data-driven decision-making (Power BI, Tableau).
• Experienced in collaborating with cross-functional teams to streamline reporting workflows and reduce inefficiencies (Jira, Confluence).
• Strong focus on identifying and tracking key performance indicators to evaluate and improve healthcare delivery (EHR systems, KPI frameworks).
• Proficient in AWS (S3, Redshift, Glue, Athena), Azure (Databricks, Synapse Analytics), and Snowflake, optimizing data storage, processing, and real-time analytics.
• Strong foundation in regression analysis, clustering, random forests, and time series forecasting, using Python (Scikit-learn, TensorFlow) and R (ggplot2, tidyr) to develop insights that enhance operational efficiency.
• Proven ability to lead end-to-end data projects using Agile methodologies in fast-paced environments (Agile, Documentation).
• Collaborated with key stakeholders to gather business requirements and define KPIs for revenue reconciliation projects, ensuring alignment with organizational goals and improving audit compliance.
• Utilized SQL and Azure Data Factory to extract, transform, and load (ETL) over 750K+ healthcare claims and patient records, automating data pipelines and reducing manual processing by 30%.
• Developed and maintained Power BI dashboards and KPI reports to provide real-time insights into claim denial reasons, patient follow-up rates, and chronic disease trends, enabling data-driven executive decision-making.
• Conducted statistical analysis using R (regression, classification, risk scoring) to identify billing error sources and regional disease hotspots, contributing to a 20%+ reduction in revenue leakage.
• Led Agile sprint planning and backlog grooming sessions using Jira and Confluence, managing documentation including BRD, FRD, and process flow diagrams to facilitate clear communication between IT and business teams..
• Partnered with clinical and finance teams to monitor and improve key business metrics such as claim turnaround times, denial rates, and patient engagement, driving an 18% reduction in claim denials.
• Engaged with stakeholders across compliance and operations to gather and document business requirements (BRD, SRS) for loan approval optimization initiatives using the Waterfall methodology
• Extracted, cleaned, and analyzed 500K+ loan application and repayment records using MySQL and Excel (Power Query, advanced formulas) to identify process inefficiencies and improve SLA adherence.
• Designed and delivered Tableau dashboards and interactive KPI reports tracking loan life cycle metrics, approval ratios, and credit score distributions to enhance visibility for business users.
• Conducted A/B testing and ROI analysis on credit policy changes, using Python (Pandas, Scikit-learn) predictive models to assess applicant risk and optimize personalized loan offerings
• Automated exception reporting workflows with Excel and Power Query, decreasing manual verification workload and
accelerating underwriting processes by 15%.
• Collaborated with cross-functional teams in Agile sprints to prioritize requirements, monitor progress via Jira, and
maintain updated documentation including functional specs and process flow diagrams.
Process flow diagrams
ROI analysis
Requirements gathering