- Expertise
My journey began with a solid academic foundation, earning a Master of Science in Business Analytics from the University of Dallas, and a Bachelor of Science in General Studies with focus on Biology, Chemistry, and Psychology from Texas Tech University. This scholastic voyage was not only a venture into analytical methodologies but a foray into the biological and psychological realms, which are intrinsic to understanding healthcare dynamics.
Craft effective strategies to drive competitiveness and achieve business objectives.
Streamline operations and improve efficiency to maximize productivity and reduce costs.
- About Mr. Philip A. Odoemena, Jr. B.Sc., MSBA
With a background spanning data analytics, business intelligence, and machine learning, I bring a combination of technical skill and strategic insight to data-driven decision-making in the healthcare sector. I hold a Master of Science in Business Analytics from the University of Dallas and a Bachelor of Science in General Studies, with a focus in Biology, Chemistry, and Psychology, from Texas Tech University. This academic foundation combines analytical methodology with grounding in the biological and psychological sciences that underpin healthcare dynamics.
My professional experience spans roles including Data Analyst, Tableau Developer, and Analytics Consultant with organizations such as Wells Fargo, Texas Health Resources, Oncor Electric Delivery, and Veritiv Corporation. Over four years, I have developed expertise in interpreting complex datasets, implementing BI solutions, and communicating actionable insights to non-technical stakeholders, driving measurable improvements in operational efficiency and building data-centric cultures.
I am proficient in a spectrum of programming languages like Python, R, SQL, and Java, and have a knack for creating compelling visualizations using tools such as Tableau and Power BI. My ventures into big data technologies like Hadoop, Spark, and Amazon Redshift have empowered me to handle voluminous healthcare data, deriving trends and insights pivotal for strategic healthcare planning.
Machine learning and statistical analysis are core strengths of mine. I have used libraries such as scikit-learn, TensorFlow, and PyTorch for predictive analytics, and applied hypothesis testing and regression analysis to validate data assumptions.
