Senior Data Analytics & AI Engineer

EMMANUEL NWAWUIHE

469-***-**** ****************@*****.***

LinkedIn: https://www.linkedin.com/in/emmanuel-nwawuihe-43a21b1a8/ EDUCATION

University of North Texas Denton, TX

M.S. Advanced Data Analytics W/ Concentration in Applied Artificial Intelligence September 2025 –2026 GPA: 4.0

University of North Texas Denton, TX

B.S. Business Computer Information Systems January 2020- May 2022 GPA: 3.6

SKILLS AND PROFESSIONAL STRENGTH

Developer Tools: BigQuery, Databricks, Data Pipelines, Spark, Hadoop, GCP, AWS, ETL Design Analytics: Machine Learning, Predictive Modeling, EDA, Statistical Testing, Feature Engineering, KPI Analysis Databases: SQL Server, Relational Database Design, DB2 Visualization: Power BI, Tableau, Excel

Languages: Python, SQL (BigQuery, HiveQL), R, JAVA Business & Process: Process Mapping, Requirements Gathering, Workflow Optimization, Data Governance Certifications: Google Data Analytics Professional, Machine Learning Specialization EXPERIENCE & PROJECTS

AI-Driven Process Optimization

Predictive Model: Nonprofit Donor Organization (PYTHON, ML, REGRESSION)

● Analyzed donor campaign workflow to identify segmentation inefficiencies and developed 6 machine learning models to optimize donor likelihood prediction and gift forecasting.

● Increased campaign profitability by 25–40% compared to mass-mail baseline through calibrated decision thresholds and analytics-based targeting strategy

● Translated stakeholder objectives into model requirements and delivered a stakeholder-ready deployment roadmap, documenting validation metrics and governance standards to ensure transparency and implementation readiness. BIG DATA ENGINEERING & ETL PIPELINE

BigQuery, Hive, Spark SQL, GCP Hadoop, Data Lifecycle `

● Mapped and optimized end-to-end data ingestion architecture for integrating static and streaming datasets, reducing manual processing time by 60% through bottleneck identification and automation.

● Designed and implemented scalable ETL pipelines to improve data lifecycle efficiency, reporting reliability, and downstream analytics readiness.

● Executed validation queries and enforced schema integrity controls, documenting transformation logic and quality checks to strengthen governance and analyst trust in outputs. AI-Driven Marketing Analytics – Bank Subscription Prediction PyTorch, Scikit-Learn, Python, Big Data

● Designed and implemented a production-ready predictive pipeline on 45K+ campaign records using stratified data splits and automated preprocessing to forecast customer deposit subscriptions.

● Developed and compared Logistic Regression and PyTorch MLP models, selecting the best performer using F1 and ROC-AUC while addressing class imbalance and preventing data leakage.

● Tuned decision thresholds and analyzed feature importance to improve targeting precision and support data-driven marketing strategy decisions.

BEST BUY Denton,Tx

Geek Squad Customer Technology Consultant 2021-2023

● Resolved 15–30+ technical service requests weekly, increasing customer satisfaction & retention through clear troubleshooting support.

● Communicated technical issues and solutions to non-technical customers, improving satisfaction and retention.

● Installed and configured home entertainment and smart-home systems for clients, enhancing user experience.

LEADERSHIP

● Collaborated with NSBE peers on leadership and career development initiatives promoting STEM advancement within underrepresented communities.

● Supported education-focused outreach through Golden Christian Life Mission youth ministry, helping increase technology exposure and learning opportunities for students.

Contact this candidate