Philip Agbara

About Philip Agbara

Data Analyst | Machine Learning Engineer | Data Engineer | Business Intelligence Expert | Cloud AI Specialist Clarksville, TN | M.Sc. Computer Science & Quantitative Methods | 5+ Years Experience |#OpenToWorkI’m Philip Agbara, a performance-driven data professional with over five years of experience across data analytics, machine learning, data engineering, and business intelligence. I specialize in transforming raw data into actionable insights, building intelligent systems, and architecting scalable pipelines that drive business success.With a master’s degree in computer science & quantitative methods (GPA: 3.9) and a foundation in mathematics and statistics, I’ve led projects that have delivered measurable value in industries like education, fintech, SaaS, and AI ethics. My ability to blend technical depth with business strategy helps organizations unlock the full potential of their data🧠 Core Strengths• Data Analytics & BI: Built executive dashboards and automated reports using Power BI, Tableau, and SQL. Delivered insights for marketing, product, and operations teams.• Machine Learning: Deployed models for forecasting, fraud detection, and bias mitigation using Scikit-learn, XGBoost, and TensorFlow. Automated training workflows on AWS and GCP.• Data Engineering: Designed ETL pipelines with Airflow, Spark, and Python. Streamlined ingestion & dataflow for high-volume platforms.• Cloud & DevOps: CI/CD integration with Docker & GitHub Actions. Deployed ML models using AWS SageMaker and GCP Vertex AI.• Stakeholder Communication: Translated business needs into data strategy. Created data products that accelerated decision-making by 60%. Career Highlights Reduced model deployment time by 40% at MuzeData using cloud-native CI/CD Boosted KPI forecasting accuracy by 30% with ML at Austin Peay State University Improved data ingestion speed by 65% using Spark pipelines Designed AI fairness frameworks for generative models used in compliance testing Built fraud detection models with 15%+ improvement in precision Tech StackLanguages: Python, SQL, R, JavaFrameworks: Scikit-learn, XGBoost, TensorFlowTools: Apache Airflow, Spark, Pandas, NumPyVisualization: Power BI, Tableau, PlotlyCloud: AWS (S3, EC2, SageMaker), GCP (BigQuery, Vertex AI)DevOps: Docker, GitHub Actions | Databases: PostgreSQL, MongoDB, Snowflake Seeking Roles In• Senior Data Analyst• Machine Learning Engineer• Data Engineer• BI Analyst• AI/ML Product SpecialistLet’s connect if you\'re hiring a results-oriented, technically advanced data leader

Experience

1. Turbotax Live Expert

   Intuit

   Feb 2024 — Present · US

   Bringing hands-on expertise in complex tax scenarios, I help clients navigate intricate filings with confidence and clarity.Tax planning for freelancers, contractors, and small businessesMulti-source income reporting and reconciliationAudit-ready documentation and compliance checksQuarterly estimated tax calculations and planningIdentification and correction of reporting errorsPrevention of IRS penalties through accurate filingReal-time guidance on tax law application

Education

• Federal University of Agriculture, Makurdi Benue State Nigeria

  Bachelor's degree, Mathematics and Statistics

• Austin Peay State University

  Master's degree, Computer Science

• University of Agriculture, Makurdi

  Bsc Mathematics/statistics, Bsc Mathematics/statistics

  2006 — 2011