Data Analyst

Aug **** – Dec ****

Sandhya

United States +1-913-***-**** *************@*****.***

Summary Details

• Data Analyst with 4 years of experience in healthcare and research data management, specializing in cleaning, validating, and analyzing large structured and unstructured datasets. Skilled in SQL, Tableau, Python, and R for building analyzable databases, implementing data management plans, and ensuring compliance with quality control standards. Proven ability to deliver accurate clinical and financial reports, support research studies, and prepare statistical analyses for internal and external audiences. Adept at training staff on electronic recordkeeping systems, documenting technical processes, and collaborating with medical faculty, interns, and program teams to ensure timely, high-quality data for decision-making and publications.

Education Details

Unversity of central missouri,Kansas,USA

Masters, Computer Science GPA: 3.7/4.0

Technical Skills

Analytics & Data Science

SQL Analytics • Statistical Analysis • Hypothesis Testing • Regression Modeling • Data Profiling • Data Quality Assessment • Research & Clinical Data Analysis

Data Engineering & Databases

Advanced SQL • Query Optimization • Performance Tuning • Indexing Strategies • CTEs & Window Functions • ETL Validation • Data Pipeline QA • MS SQL Server

Business Intelligence

Tableau • Power BI • Dashboard Development • KPI Reporting • Executive Reporting • Data Modeling • Automated Reporting Programming

Python (Pandas, NumPy) • R (Statistical Analysis, Modeling) • Excel (PivotTables, Macros/VBA, Advanced Formulas) Data Governance & Quality

Data Validation Frameworks • Data Integrity Controls • Reconciliation Reporting • Compliance & Audit Readiness • Exception Monitoring

Professional Stakeholder Collaboration • Cross-Functional Communication • Documentation • Process Improvement • Training & Knowledge Sharing

Work Experience

Client: western union,Remote Role:Data Analyst Aug 2025 – Dec 2025 Responsibilities:

•Designed and validated clinical datasets for cardiology and patient research, improving reporting accuracy by 30%

• Built Tableau dashboards and SQL-driven reports summarizing patient outcomes and financial metrics for leadership and m edical staff

• Applied statistical analysis in Python and R to support research studies, including hypothesis testing and regression models

• Developed data management plans and compliance processes, ensuring quality control and audit readiness across reporting layers

• Automated reporting pipelines with Excel Macros and PivotTables, reducing manual preparation by 20+ hours per month

• Partnered with interns, residents, and faculty to generate statistical analyses and prepare materials fo r manuscripts and pre sentations

• Trained staff on recordkeeping systems and validated data integration from EHR exports, improving data quality by 40%

Environment: SQL,PowerBI, Tableau, Python, R, Excel, MS SQL Server, Clinical Datasets, Data Valid tion, Statistical An alysis

Client:Capgemini, Hyderabad Role: Sr. Data Analyst Nov2021 –Sep 2024 Responsibilities:

• Evaluated and optimized production SQL queries supporting Power BI and Tableau dashboards, improving query efficiency and reducing dashboard refresh times

• Refactored complex SQL logic using optimized joins, CTEs, and indexing strategies to enhance performance and scalability of reporting datasets

• Designed and implemented automated data quality checks to validate accuracy, completeness, and consistency across enterprise datasets

• Developed validation rules for null handling, duplicate detection, referential integrity, and acceptable value ranges

• Built source-to-target reconciliation reports to verify data integrity prior to dashboard and analytics consumption

• Created recurring data validation and exception reports that proactively identified data issues and minimized reporting errors

• Partnered with ETL, BI, and business stakeholders to investigate and resolve data discrepancies and pipeline failures

• Documented data validation processes and quality standards to support audit readiness and knowledge sharing

• Ensured high-quality, reliable datasets for business intelligence, analytics, and operational reporting

• Contributed to data governance and continuous improvement initiatives to strengthen data reliability and trust Environment:

MS SQL Server, Advanced SQL, Data Quality & Governance, Data Validation, Performance Optimization, Power BI, Tableau, ETL Pipelines, Documentation

Certififcations:

• HackerRank SQL (Advanced) Certification - Issued by Hacker Rank

• Microsoft Certified: Power BI Data Analyst Associate

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