π§βπ» Ria Treesa Raju| π Health Research Data Scientist |
Healthcare Data Scientist with expertise in AI and a passion for healthcare innovation. I specialize in developing AI-driven solutions for healthcare research by leveraging machine learning, deep learning, and NLP techniques to analyze diverse biomedical data, including EHR, medical imaging, and clinical notes. With extensive experience in predictive modeling, data visualization, and automation, I focus on enhancing clinical research outcomes and driving impactful healthcare advancements. My mission is to: Transform data into meaningful insights, insights into discoveries, and discoveries into actionable healthcare improvements.
π» Python | SQL | R | SAS | SPSS | MATLAB | TensorFlow | PyTorch | Scikit-Learn | XGBoost | Optuna | PySpark
π Pandas | NumPy | SciPy | StatsModels | Matplotlib | Seaborn | STATA | Bayesian Inference | A/B Testing | Hypothesis Testing | Survival Analysis
π Tableau | Power BI | Excel | Lucid
π₯οΈ OpenCV | 3D Slicer | FSL | SPM | HuggingFace | BERT | Oxygen XML Editor
π₯ FHIR | HL7 | ICD-10 | CPT | LOINC | SNOMED | RxNorm | REDCap | Medicare Claims
βοΈ AWS | Docker | Databricks | VS Code | Jupyter | Git | Bash | BigQuery
π ETL Pipelines | API Integration | Data Cleaning & Transformation | Automated Reporting Workflows
π HIPAA | Data Encryption | Secure Data Pipelines | Medicare & Clinical Data Compliance