Projects


PICNet, in collaboration with the six BC health authorities, conducts provincial surveillance of three healthcare-associated infections: Clostridioides difficile infection (CDI), Carbapenemase-producing organisms (CPO), and Methicillin-resistant Staphylococcus aureus (MRSA). We also produce provincial reports on hand hygiene compliance (HCC). Reports are published quarterly in our website.

I supported the team by analyzing incidence and trends, and developing an interactive dashboard for in-house use. The dashboard is helpful in visualizing KPIs from varying fiscal years, and regions. I used R-shiny app to create the dashboard.

I developed an R Shiny app to interactively visualize counts and proportions of Child-Emergency-Department-visits with suspected Viral Respiratory Illness (VRI) Symptoms, of province of British Columbia. This app is developed within the virtual machine of PANDA (Platform for Analytics & Data) platform native to Provincial Health Services Authority (PHSA). It is a unique solution where real-time data is extracted from the provincial Covid-19 data nested in a Microsoft Azure (cloud-based) SQL-based platform, and required indicators are presented interactively by Surveillance Seasons, Epidemiological Weeks, Health Authorities, Individual Facilities, and Age groups. 

The aim of the dashboard is to assist the PICNet (Provincial Infection Control Network of British Columbia) Surveillance team to track, monitor and report VRI Child-Emergency-Department-visits more efficiently.

This is a 6-credit-Capstone-project with the team of Population Health Surveillance and Epidemiology, Office of the Provincial Health Officer, Province of British Columbia, as a requirement for graduation of Master of Data Science (MDS) Program of UBC, Vancouver. 

MDS Team member:

Team-members from the stakeholder team (Population Health Surveillance and Epidemiology, Office of the Provincial Health Officer, Province of British Columbia) : 

The project is completed and delivered on June 2022. 

Data analysis project, as a deliverable for a course in the Master of Data Science program at the University of British Columbia. This is a group project with:

Develop a python package which takes in twitter data, cleans, analyzes and plots findings relating to hashtags, sentiments and word counts. This team-work is in it's draft shape and a work-under-progress, as we refine it according to requirements of our Master of Data Science course at UBC, Vancouver. This is a group project with:

Develop an R package which takes in twitter data, cleans, analyzes and plots findings relating to hashtags, sentiments and word counts. This team-work is in it's draft shape and a work-under-progress, as we refine it according to requirements of our Master of Data Science course at UBC, Vancouver. This is a group project with:

Develop a dashboard using dash and R, using kaggle dataset which visualizes North American and global sales and sales-related data, such as top publishers and top genres based on sales and market share based on sales by year. This is a deliverable for a course in the Master of Data Science program at the University of British Columbia. This is a group project with:

Develop a dashboard using dash and python, using kaggle dataset which visualizes North American and global sales and sales-related data, such as top publishers and top genres based on sales and market share based on sales by year. This is a deliverable for a course in the Master of Data Science program at the University of British Columbia. This is a group project with:

A snapshot of the current burden of Covid-19 cases in Bangladesh. And a comparative cross-sectional analysis of Covid-19 (Daily confirmed cases, overall case-burden). between Bangladesh Egypt, Indonesia and Pakistan. This is an independent initiative. The project is not relevant to the authors' current professional attachments. 

Education

Mila - Quebec Artificial Intelligence Institute, Montreal, Quebec, July 17 – 21, 2023

Hosted by CIFAR and Mila, in collaboration with Amii and Vector Institute

BC Chronic Disease Visualization and Trend Analysis with R Shiny 

Affiliations


Workshops and Certifications


Data Science and Health 2021: Impact and Lessons Learned From the Covid-19 Pandemic

UBC Data Science and Health 2021

Credits: 9      

Continuing Professional Development Conference at Vancouver, BC

Interactive, three-part Continuing Professional Development (CPD) program addressing the intersection of health and data science, designed to enable engagement and collaboration with data scientists and provide a practical roadmap for applying data science and analytics in understanding and adapting to the recent unprecedented changes in health care research and delivery.