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Anteneh User

@antenehuser1

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Senior software engineer specializing in data engineering and machine learning for scalable analytics.

United States

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What I'm looking for

I’m looking to lead production analytics and data/ML engineering that improves decision-making. I want to build scalable systems with strong performance, clean design, and long-term maintainability—partnering closely with stakeholders to automate insights end to end.

I’m a Senior Software Engineer with 20 years building scalable web applications, data platforms, and cloud-based systems. I deliver production-grade solutions across healthcare, fintech, e-commerce, and logistics, with a consistent emphasis on performance and long-term maintainability.

In my current role as an IT Analytics & Reporting Consultant at HCSC, I design and own enterprise analytics platforms for capacity planning, financial forecasting, and resource management. I built and maintained Power BI dashboards and SQL-based data models, improving resource allocation accuracy by 15%.

I also architect and scale internal tools (TAT, CET) using SQL Server, Alteryx, and Tableau—saving over 100,000 operational hours. I develop forecasting and regression models using SAS and R, and automate reporting workflows with UiPath and Power Automate to reduce manual effort and improve delivery speed.

Earlier roles strengthened my full-stack and AI foundation, including Python-based data pipelines with pandas and SQL, machine learning (logistic regression and optimization models), and A/B testing frameworks. I’ve also delivered .NET and Java backends, built ETL workflows and ETL/data integration across enterprise systems, and supported regulated environments with HIPAA-compliant systems and HL7-based data pipelines.

Experience

Work history, roles, and key accomplishments

Current

Analytics & Reporting Consultant

Current

HCSC (Blue Cross and Blue Shield)

Apr 2015 - Present (11 years 2 months)

Designed and owned enterprise analytics platforms for IT capacity planning, financial forecasting, and resource management, improving resource allocation accuracy by 15%. Built Power BI dashboards and SQL-based data models, and architected internal SQL Server/Alteryx/Tableau tools (TAT, CET) saving over 100,000 operational hours.

Power BI SQL Server Data Modeling ETL SAS R Tableau Power Automate

.NET Application Developer

Sloan Valve Company

Feb 2015 - Apr 2015 (2 months)

Developed internal HR systems using VB.NET and .NET Core to automate attendance tracking and workforce data management. Built validation and data persistence layers for compliance/auditability and migrated legacy data to improve data consistency and long-term maintainability.

VB.NET .NET Core REST APIs Data & Persistence Validation SQL System migration

Python ML Engineer

Anthem Marketing Solutions

Jul 2014 - Nov 2014 (4 months)

Built Python-based data pipelines with pandas and SQL to support marketing analytics and predictive modeling. Developed logistic regression/optimization models, implemented A/B testing and experimentation frameworks, and designed scalable ETL workflows to improve pipeline efficiency and reliability.

Python Pandas SQL Logistic Regression A B Testing Experimentation ETL Machine Learning

Software Engineer - Analytics

Ettain Group (Bank of America)

Aug 2011 - Oct 2012 (1 year 2 months)

Developed data pipelines using Python, SAS, and SQL for large-scale financial analytics systems. Built predictive models and customer segmentation strategies to optimize targeting, and automated reporting to deliver insights via dashboards and executive reports.

Python SAS SQL Data Pipelines predictive modeling Customer Segmentation Statistical Analysis Dashboards

AI/ML Analyst

Burtch Works (Catalina)

Sep 2010 - Mar 2011 (6 months)

Designed experimentation pipelines and statistical models to analyze customer behavior and retail performance. Built feature engineering and data transformation workflows using SAS and SQL and delivered predictive insights to improve campaign targeting and marketing efficiency.

SAS SQL Statistical Modeling Experimentation Pipelines data transformation Predictive Analytics Machine Learning

AI/ML Analyst

Sapphire Technologies (USAA)

Sep 2009 - Aug 2010 (11 months)

Developed predictive and risk models for acquisition, retention, and cross-sell strategies. Built segmentation frameworks improving targeting accuracy by up to 50% and designed ETL workflows and data pipelines to support analytics and reporting.

Machine Learning predictive modeling Risk Modeling Segmentation ETL Data Pipelines SQL SAS

Java Software Engineer

Sam's Club (Walmart Inc.)

Jan 2008 - Mar 2009 (1 year 2 months)

Developed Java backend systems for campaign analytics and reporting. Built data processing pipelines integrating Oracle and enterprise databases, and implemented validation and monitoring to improve data accuracy and reliability.

Java Oracle Data Processing Backend Development Data Validation Monitoring SQL

Full-Stack Engineer

Dell Inc. (via Spherion)

May 2007 - Jul 2007 (2 months)

Built backend services and data processing systems using Java, C#, and SQL to support enterprise reporting. Developed data transformation pipelines and contributed to testing, deployment, and production system validation.

Java C#SQL Backend Services data transformation Data Pipelines Testing Deployment Product Validation

Full-Stack Developer

Dell Inc. (via SAI)

Nov 2006 - Mar 2007 (4 months)

Developed full-stack applications using Java, .NET, and SQL Server, including API development and database schema optimization for performance and scalability. Collaborated on system architecture and cross-team integrations to deliver production-ready features.

Java .NET SQL Server REST APIs Database Optimization Performance Tuning System Architecture CI CD

Healthcare Systems Developer

United States Army

May 2006 - Oct 2006 (5 months)

Built secure HIPAA-compliant systems using .NET and REST APIs for healthcare interoperability and data integrity. Developed HL7-based data pipelines and designed data transformation workflows to improve system efficiency.

.NET REST APIs HIPAA compliance HL7 Data Pipelines data transformation Healthcare Systems & Security