Python, Java, R, COBOL, JCL, JavaScript, HTML, CSS, SAS

Experienced data and technology professional with over 11 years of experience across software development, data analytics, research, and higher education instruction, with hands-on experience working with financial, higher education, and healthcare datasets. Skilled in analyzing complex and multidimensional data, developing data-driven solutions, supporting predictive and statistical analysis, managing databases, and translating technical findings into actionable insights for diverse stakeholders. Career experience as a Software Developer, Associate Data Analyst, and Professor has built a strong combination of technical expertise, analytical problem-solving, leadership, mentoring, and communication skills. Knowledgeable in health informatics, electronic health records, clinical data standards, interoperability, data governance, and AI applications in healthcare, with a strong commitment to continuous learning, innovation, and professional growth.
Python, Java, R, COBOL, JCL, JavaScript, HTML, CSS, SAS
Machine Learning, Regression, Classification, Clustering, Predictive Modeling
Deep Learning, Natural Language Processing (NLP), Sentiment Analysis, Time-Series Forecasting
Explainable AI (SHAP), Feature Engineering, Model Evaluation, Cross-Validation
Scikit-learn, XGBoost, LightGBM, BERT, VADER, TextBlob, pandas, NumPy
Oracle 19c, PostgreSQL, MySQL, MongoDB, IBM Db2, Microsoft Access, SQL, Relational Databases
Data Integration, ETL, Data Cleaning, Data Validation
Tableau, Power BI, SPSS, SAS, Microsoft Excel
Statistical Analysis, Data Visualization, Dashboard Development
AWS (EC2, RDS, S3, VPC, EBS, EFS, Glacier, Lightsail)
Microsoft Azure (Azure SQL Database, Data Lake)
Django, HTML, CSS, JavaScript, Mainframe Systems
Healthcare Data Analytics, Electronic Health Records, Clinical Data
Longitudinal Data Analysis, Clinical Terminologies, Healthcare Data Governance, Data Privacy
GitHub, GitLab, JIRA, Confluence, WordPress
Excel, Word, PowerPoint