Data Analyst & Business Intelligence Student

Sarah Ashley Creado

Data Analyst Business Intelligence Financial & Operational Analytics

United States 943-***-**** ************@*****.*** www.linkedin.com/in/sarahcreado PROFESSIONAL SUMMARY

Business Analytics & AI graduate student with 3+ years of experience analyzing financial, operational, and business data to support reporting, performance measurement, and decision-making. Experienced in SQL-based analysis, Power BI dashboard development, data validation, reconciliation, KPI reporting, and data transformation. Skilled in SQL, Python, R, Power BI, Power Query, Advanced Excel, Snowflake, PostgreSQL, and relational databases, with experience translating business requirements into analytical solutions and actionable insights. TECHNICAL SKILLS & CERTIFICATIONS

Data & Analytics: SQL, Python, R, Power BI, Power Query, Advanced Excel, Tableau, Snowflake, PostgreSQL Data Management: Relational Databases, Data Modeling, Data Integration, Data Quality, ETL, Data Transformation, Data Validation

Business Intelligence & Reporting: KPI Development, Business Intelligence, Performance Reporting, Dashboard Development, Financial Reporting, Data Analysis

Business Analysis: Requirements Gathering, Business Process Analysis, Stakeholder Management, Process Improvement Automation: Power Automate, Power Apps, UiPath, Alteryx, Azure, PySpark, Spark, Hadoop, Hive PROFESSIONAL EXPERIENCE

The University of Texas at Dallas – Executive Education, Texas, USA July 2025 - Present Student Assistant – Data & Business Analytics

• Gathered stakeholder reporting requirements and translated business needs into data-driven reporting and dashboard solutions.

• Analyzed operational and marketing datasets using SQL and Excel to identify trends, evaluate performance, and support forecasting initiatives.

• Performed data validation and quality checks across reporting workflows to improve accuracy and consistency.

• Gathered stakeholder reporting requirements and translated business needs into data-driven reporting and dashboard solutions.

Marsh McLennan Global Services - Guy Carpenter, Mumbai, India September 2021 - June 2024 Claims Specialist – P&C Reinsurance Financial Analytics & Business Operations

• Analyzed financial, claims, and operational data across multiple systems to identify trends, discrepancies, and opportunities to improve reporting accuracy and business performance.

• Reconciled 400+ financial transactions across systems, supporting data accuracy, financial reporting, compliance, and approximately $35M in recovered revenue.

• Identified manual process bottlenecks and implemented workflow improvements that reduced backlog by 60%, improving operational efficiency and reporting turnaround.

• Validated high-volume financial data and investigated discrepancies through root-cause analysis, improving data integrity and reporting reliability.

• Collaborated cross-functionally with Finance, Operations, Actuarial, and Compliance teams to gather requirements, improve workflows, and resolve data and reporting issues.

• Developed recurring reports and analytical outputs for Finance, Operations, Compliance, and business stakeholders, supporting performance monitoring and decision-making. EDUCATION

The University of Texas at Dallas January 2025 - Present M.S., Business Analytics and Artificial Intelligence Don Bosco College, Kurla (Mumbai University) June 2017 - November 2020 B.S., Management Studies (Finance)

ACADEMIC PROJECTS

Geolocation Big Data Analytics Tools: Hadoop, Spark, Hive, HDFS, SQL, Power BI December 2025

• Built an end-to-end geolocation and logistics analytics pipeline using HDFS, Hive, Spark/PySpark, and SQL to process large-scale datasets.

• Designed ETL/ELT workflows to clean, transform, and analyze data, identifying risk patterns, route inefficiencies, and operational bottlenecks.

• Developed Power BI KPI dashboards and translated findings into recommendations for cost optimization, routing, and operational efficiency.

Salon Management System Database Tools: PostgreSQL, SQL, ERD, Data Modeling April 2025

• Designed and implemented a normalized PostgreSQL relational database with 6+ interconnected tables using ERD modeling, DDL/DML, relationships, and business rules.

• Developed advanced SQL queries and views to analyze service demand, stylist performance, earnings, and operational capacity.

• Applied data modeling and relationship design to support accurate reporting, resource planning, and operational decision-making.

AI-Powered Finance Process Automation Alteryx, Power Apps, UI Path, AI December 2025

• Designed an end-to-end intelligent document processing workflow using Alteryx, Power Apps, and UiPath to ingest, classify, and extract data from unstructured financial/loan documents

• Applied AI-based classification to route documents by type, reducing manual triage

• Eliminated manual data-entry steps, reducing compliance risk exposure and processing time Employee Attrition Analysis Tools: R, Decision Trees, Logistic Regression, PCA April 2026

• Analyzed employee data to identify key drivers of attrition and workforce trends

• Built and evaluated predictive models (Decision Tree, Logistic Regression) achieving 82.5% accuracy

• Delivered data-driven business recommendations to support HR retention strategies and workforce planning

• Translated analytical findings into actionable insights for improving employee satisfaction and reducing turnover.

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