Nabeel Imam Email and Phone Number

- Evaluate and optimize LLM-based applications for product matching- Deploy and maintain Dockerized LLM-based applications on Azure Kubernetes Service

- Developed a programming course for R: https://www.datacamp.com/courses/parallel-programming-in-r- Developed cloud course content in collaboration with the DataCamp team- Automated delivery of content quality checks/learner feedback summaries to Slack using BigQuery, OpenAI API, and DataCamp Workspace.

- Analyze high-dimensional microbiome data using dimension reduction, unsupervised clustering, A/B testing, among other statistical and machine learning methods- Implement advanced statistical models (heirarchical, MCMC Bayesian, mixture) for inference and prediction using disease-linked multiomics data- Develop/prototype ML models and pipelines (scikit-learn, Keras)- Experimental design/sample size calculations for the research/business question at hand- Collaborate with… Show more - Analyze high-dimensional microbiome data using dimension reduction, unsupervised clustering, A/B testing, among other statistical and machine learning methods- Implement advanced statistical models (heirarchical, MCMC Bayesian, mixture) for inference and prediction using disease-linked multiomics data- Develop/prototype ML models and pipelines (scikit-learn, Keras)- Experimental design/sample size calculations for the research/business question at hand- Collaborate with internal and external stakeholders, maintaining clear and timely communication, synthesizing expertise from diverse fields into presentations, reports, and visualizations Show less

- Analyzed soil microbiome data for various clients to identify functional deficiencies and targets for treatment (including methods like ordination, differential abundance, recursive partitioning, networks, and mixture models)- Lead the review and upgrade of methods/pipelines/patents related to microbiome analysis- Automated new methods of analysis and visualization using interactive portals (using R Shiny) to deliver results internally and externally- Applied unsupervised methods… Show more - Analyzed soil microbiome data for various clients to identify functional deficiencies and targets for treatment (including methods like ordination, differential abundance, recursive partitioning, networks, and mixture models)- Lead the review and upgrade of methods/pipelines/patents related to microbiome analysis- Automated new methods of analysis and visualization using interactive portals (using R Shiny) to deliver results internally and externally- Applied unsupervised methods for clustering and classification of new soil samples. Show less

- Managed, mined, wrangled, and explored large genomic databases to discover avenues for new research- Lead the development of an analytical pipeline to clean, transform, and model microbiome data to identify targets for drug development- Programmed analyses involving complex datasets using vectorized methods and parallel computing.- Developed methods to ascertain reference ranges for microbiota of interest, and a wellness score based on these references.

Analysis and visualisation of surveillance data from Victorian hospitals, including:- Developed code for the dynamic generation of process control charts as a monitoring tool for healthcare-associated infections- Developed algorithms for cleaning and efficient visualisation of surveillance and electronic health records data - Applied appropriate statistical methods for large high-dimensional data-sets in various programming environments, including mixed-effects modelling and… Show more Analysis and visualisation of surveillance data from Victorian hospitals, including:- Developed code for the dynamic generation of process control charts as a monitoring tool for healthcare-associated infections- Developed algorithms for cleaning and efficient visualisation of surveillance and electronic health records data - Applied appropriate statistical methods for large high-dimensional data-sets in various programming environments, including mixed-effects modelling and Bayesian methods.- Wrote up analyses methods and results for publication. Show less

- Systematically reviewed literature for a student self-assessment project, maintaining detailed records of searches.- Conducted exploratory analysis of student self-assessment data from a large undergraduate unit.- Delivered tutorials and practicals, including intensives on biostatistics and Stata.

- Supporting brand management of Merck, Sharpe & Dohmme fertility drugs and HPV vaccine, Gardasil.- Collated data from leading fertility clinics.- Initiated a revamp of reporting techniques for data collectors, developed new templates in Excel.- Initiated literature reviews to update data used in promotional and training material.- Delivered CME presentations.

- Delivered 48 CME presentations.- Conducted a nation-wide survey of the perceived incidence and prescription trends of typical vs. atypical pneumonia.- Extracting and analyzing prescription and sales data from IMS and IMS Plus.