Business Data Analyst at TierPoint

Engineered SQL ETL pipelines combining 5+ data sources, cutting reporting errors by 25% and providing reliable insights to business units for faster, informed executive decision-making. Designed Tableau and Power BI dashboards visualizing 15+ KPIs, improving operational visibility, enabling leadership to identify trends, optimize resource allocation, and increase performance tracking efficiency. Conducted Python and R analyses, including regression and forecasting, predicting trends, identifying revenue opportunities, and driving strategic initiatives that improved operational efficiency and decision accuracy by 20%. Mechanized Excel reporting workflows using PivotTables, Power Query, and VBA, saving 12+ hours weekly, standardizing reports, and allowing teams to focus on analysis and actionable business insights. Partnered with stakeholders to define KPIs and translate requirements into actionable analytics, improving alignment between business objectives and reporting initiatives, inc

Senior Machine Learning Engineer at Optimum | Plano, TX (Remote)

Designed and deployed production-grade RAG and intelligent search using LLMs, vector embeddings, LangChain, and LlamaIndex to improve knowledge discovery. Built NLP pipelines for document classification, summarization, intent detection, and entity extraction. Developed customer propensity, churn, recommendations, and next-best-action models using Python, PySpark, TensorFlow, and PyTorch. Created scalable feature engineering and training pipelines using Azure Databricks and Snowflake. Implemented MLflow experiment tracking, model registry/versioning, validation, and promotion across environments. Operationalized batch/near-real-time inference via REST APIs, Kafka, Azure ML endpoints, Docker, and Kubernetes; added evaluation and monitoring including drift indicators, latency, and business KPIs. Built ingestion/transformation pipelines using ADF and Databricks across ADLS, Synapse, and Snowflake, and strengthened governance via Unity Catalog, RBAC, managed identities, and Key Vault.

Business Data Analyst at Techwave

Extracted, cleaned, and standardized multi-source datasets, improving data reliability by 20%, accelerating trend analysis, and facilitating timely actions across departments. Built Tableau and Power BI dashboards tracking 10+ operational KPIs, providing real-time insights, improving leadership’s data-driven decision-making speed by 28%. Applied regression, correlation, and forecasting models, identifying inefficiencies and revenue opportunities, guiding process improvements that reduced operational delays by 18% and enhanced business outcomes. Developed computerized SQL and Python reporting pipelines, reducing manual reporting time by 35%, improving consistency, and enabling analysts to focus on actionable insights for strategic initiatives. Partnered with Agile teams via JIRA and Confluence, designing dashboards and reports that met stakeholder objectives, increasing satisfaction by 22% and enhancing operational reporting efficiency. Conducted monthly KPI trend analysis and perform

Data Engineer (Contract) at Evernorth Health Services | St. Louis, MO (Remote)

Built cloud data platforms for healthcare analytics, operational reporting, and ML use cases with privacy-aware governance. Developed ETL/ELT pipelines using Azure Databricks, PySpark, Spark SQL, Airflow, Azure Data Factory, and Snowflake. Created reusable feature pipelines and validation/lineage for utilization, risk, and service analytics. Implemented Snowflake solutions using Snowpark and optimized SQL for reporting. Designed batch and real-time ingestion frameworks integrating REST APIs, flat files, relational databases, Kafka, and Azure Event Hubs. Optimized Spark workloads for performance and reliability. Added automated data quality checks and migrated legacy ETL to Azure/Snowflake with standardized logging and restartability. Implemented CI/CD using Azure DevOps, Jenkins, Git, Docker, and Kubernetes with automated testing.

Data Analyst at 3LOQ

Cleaned, normalized, and transformed large datasets, improving accuracy and consistency for reporting, enabling stakeholders to make precise, data-driven decisions that enhanced operational efficiency by 15%. Created dashboards and visualizations in Excel, Tableau, and Power BI, highlighting trends and KPIs, enabling management to monitor performance effectively and accelerate decision-making by 18%. Managed API and JSON data integration, consolidating datasets into reporting pipelines, providing cross-functional teams real-time access to analytics and improving strategic decision-making speed by 20%. Supported business process optimization by mapping workflows, analyzing KPIs, and recommending improvements, driving measurable efficiency gains.