I am a bioinformatician, Streamlit dev and ML Scientist with 4 years of expertise in data analysis, visualization, Machine Learning, annotation, and modeling biological and non-biological datasets.
Python | Streamlit | Scikit-learn | Tensorflow | R | Git Nextflow | WDL | Cromwell | Docker | Bash | JASP | BLAST | MEGA | AlphaFold | FoldSeek | Transcriptomics | ...
View ResumeMy role was to identify the best performing model to identify exogenous variables essential for the accurate prediction in the forecast of the GRACE geographical groundwater thickness data.
My role was to build a multipage webapp infrastructure that allows the functionalities of the project to be rendered (Explorative Data Analysis, Comparative Analysis, and Machine Learning).
My role was to build a webapp infrastructure to host a platform to put out used cars up for sale based on a backend estimation algorithm. App was deployed on AzureDB.
My role was to convert an excel management tracking sheet to a reactive dashboard for time-tracking and note-taking.
My role was to build the functional webapp infrastructure that allows the functionalities of the project to be rendered (Explorative Data Summary, Data Visualization, Predictive Analysis, and Machine Learning).
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I created a time series model demonstrating the effect of the pandemic on Azithromycin prescription and use in the UK.
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