I specialize in evaluating complex, multi-variable datasets to drive operational efficiency, predictive risk modeling, and strategic decision-making. With a background spanning elite-level clinical research and high-volume commercial operations, I leverage Advanced SQL, Python, R, and enterprise BI tools to transform raw data into clear, compelling narratives.**
- Clinical Researcher & Data Analyst at ReBTReL (Since Oct 2024): Applying advanced statistical techniques in R and Python to biological risk factors, multi-variable clinical cohorts, and pharmacological datasets.
- Data & Business Analyst at SQI College of ICT: Building automated SQL extraction pipelines, P&L forecasts, and scalable Power BI dashboards to drive institutional strategy.
- Peer-Reviewed Publication: Recently published quantitative pharmacological research in Elsevier (Steroids, Vol. 228), leveraging advanced predictive modeling.
- Scientific Leadership: Directing a cross-functional Health Research Writing Group to execute rigorous quantitative methodologies.
- Languages & Databases: Advanced SQL (SQL Server, Oracle, PostgreSQL, complex schema management via ALTER TABLE), Python (Pandas, NumPy), R
- Business Intelligence & Viz: Power BI, Tableau, Advanced Excel (Power Query, Data Modeling)
- Core Competencies: Statistical Modeling, A/B Testing, Exploratory Data Analysis (EDA), Relational Database Structuring, Cross-System Data Reconciliation
- Advanced data modeling and automated ETL pipelines
- Healthcare, clinical, and biopharma analytics
- Financial forecasting, portfolio performance, and risk/probability modeling
- Complex dashboard development and strategic visual storytelling
- Translating massive relational databases into strategic business insights
- Validating large-scale datasets and anomaly detection
- Applying clinical research methodologies to commercial business problems
- Building self-service analytics that executives can understand at first glance
- I approach database queries and research methodologies with a strict zero-error tolerance mentality.
- Whether it is clinical trial data, fintech risk scores, or telecom operational metrics, I believe every clean dataset holds an actionable story.
- My B.Tech in Physiology gives me a highly unique, analytical edge when dissecting complex healthcare and provider data.