Demonstrated experience with Python.
Demonstrated experience with R.
Demonstrated experience with SQL.
Demonstrated experience with SPSS.
Demonstrated experience with Excel.
Professional profile
Performed quantitative analysis of cancer images to extract meaningful insights.. Developed custom R scripts to analyze pillar images and study extracellular matrix (ECM) bodies in human plasma.. Trained machine learning models, including classification models and Random Forest, using Google Vertex AI.. Processed and converted multi-channel images across multiple formats (CZI, TIFF, GIF, JPEG).. Developed automated pipelines to merge multi-channel images for enhanced analysis.. Utilized Zeiss Zen and ImageJ software for image annotation and preprocessing.
Digitized and analyzed longitudinal and cross-sectional data of pregnant women to develop a system dynamics model for early detection of preeclampsia.
Led end-to-end data analysis, including data collection, cleaning, and visualization using R.. Provided insights to improve content and marketing strategies, increasing readership engagement.
Assisted in public health data management, including cleaning, organizing, and analysis using Excel and SPSS.. Conducted descriptive statistics and non-parametric tests, producing actionable reports.