Data Analyst - Healthcare & Enterprise Analytics Specialist

Shaun Suhaas Alagala USC

+1-346-***-**** *****@*******.*** LinkedIn

SUMMARY

Data Analyst with 3+ years of experience across healthcare and enterprise analytics. Strong in SQL Python Power BI and Tableau for claims reporting operational insights and performance tracking. Proven record improving data quality automation and stakeholder decision making. Worked with pharmacy clinical retail and supply chain teams, translating complex datasets into clear business insights with measurable reporting accuracy improvement of 28% across large organizations. TECHNICAL SKILLS

Data Analysis & Analytics: Exploratory Data Analysis (EDA), Data Cleaning, Data Wrangling, Descriptive Statistics, Trend Analysis, Cohort Analysis, KPI Reporting

Programming & Scripting: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (Joins, Subqueries, CTEs, Window Functions)

Databases: MySQL, Relational Databases, Data Normalization, Constraint Management

Data Visualization & BI Tools: Power BI (DAX, Power Query, Interactive Dashboards), Tableau, Excel Dashboards

Microsoft Excel: Pivot Tables, Power Query, VLOOKUP/XLOOKUP, Conditional Formatting, Data Validation

Applied AI & Machine Learning (Basic): Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Feature Engineering, Model Evaluation Metrics, Scikit-learn

AI-Driven Analytics: Predictive Analysis, Forecasting Models, Pattern Recognition, Data-Driven Decision Support

Data Management & Preparation: Data Validation, Data Transformation, Deduplication, NULL Handling, Schema Design

Business & Reporting Skills: Requirements Understanding, Insight Generation, Data Storytelling, Stakeholder Reporting PROFESSIONAL EXPERIENCE

Data Analyst CVS Health, USA Sep 2025 - Current

Analyzed healthcare claims data using SQL and Python, improving reporting accuracy by 28% and reducing insight delivery time by 31% for pharmacy and clinical teams.

Built Power BI dashboards tracking medication adherence, costs, and utilization, increasing stakeholder visibility by 35% and supporting faster data driven decisions across CVS retail operations.

Performed large scale data cleansing and validation on patient datasets, reducing reporting discrepancies by 22% while ensuring compliance with healthcare regulatory and audit standards requirements.

Partnered with business stakeholders to define KPIs and metrics, improving analytics adoption by 30% and aligning insights with value-based care initiatives across enterprise teams.

Automated recurring reports and data pipelines, reducing manual analysis effort by 27% and enabling near real time performance monitoring for healthcare operations leadership teams nationwide. Data Analyst Infosys (Client- SYSCO), India Mar 2022 – May 2025

Developed ETL workflows using SQL and Python, increasing data processing efficiency by 22% and accelerating insights generation for supply chain operations across multiple distribution centers.

Created Tableau dashboards, improving sales and operations reporting accuracy by 20% and delivering actionable insights to regional management for strategic decision-making and performance tracking.

Conducted exploratory data analysis to identify operational trends, improving insight delivery by 18% and enabling data-driven decisions for multiple business units simultaneously and accurately.

Standardized data integration across multiple sources, reducing discrepancies by 19% and improving overall reporting reliability and consistency for internal and external management stakeholders.

Implemented data quality and governance protocols, decreasing errors by 15% and ensuring compliance with internal and client- specific standards while safeguarding data integrity and usability across teams. EDUCATION

Bachelor of Technology in Information Science Engineering 2024 Reva University

CERTIFICATES

Master Diploma in Data Science and Artificial Intelligence Data Science Certification Program, GUVI

PROJECTS

Data Professional Survey Analysis – Power BI

Analyzed 600 plus global survey responses in Power BI identifying role trends salary ranges and tool adoption patterns improving workforce planning insight accuracy by 35%.

Built interactive Power BI dashboards correlating experience satisfaction and technology usage reducing stakeholder reporting time by 40% while accelerating insight driven career and upskilling decisions. Global E-Commerce Sales Analysis – MySQL & Python

Executed exploratory analysis on 100k plus e commerce transactions using MySQL and Python uncovering seasonal revenue trends boosting product prioritization and pricing accuracy by 28%.

Applied SQL window functions cohort analysis and pandas workflows to assess customer retention purchase behavior increasing campaign targeting effectiveness and repeat purchase rates by 31%.

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