A data scientist with experiences ranging from the non-profit to corporate sector. A recent graduate
from the University of Pennsylvania with a bachelor’s degree in data analytics and mathematical
sciences, and an advanc…
A data scientist with experiences ranging from the non-profit to corporate sector. A recent graduate
from the University of Pennsylvania with a bachelor’s degree in data analytics and mathematical
sciences, and an advanced diploma in IT systems analysis and design from the University of Oxford.
Proficient in Python, R, Tableau, Linux system management, Microsoft Power BI, RShiny,
PostgreSQL server, NGINX web server, and HTML. Currently completing a tinyML professional
certificate which explores using machine learning on embedded devices.
Created 8 GIS visualisations using malaria surveillance, census, and google maps data
Produced 33 advanced Malaria data visualisations using Tableau and DHIS2
Showed trends, patterns, and correlations between various indicators (such as age, gender, specific time periods) through these visualisations
Parsed data from excel and csv files to a format that can be uploaded to the District Health Information Software (DHIS2)
Analysed and aggregated malaria surveillance and spray data for across geographical boundaries (countries, province, districts)
Analysed operational, census, and legacy data (excel, csv files)
Installed and Setup a Ubuntu Linux server
Deployed and configured a PostgreSQL server
Configured NGINX as a web server
Set-up a cloud and host-based firewall
Completed a 3-month fellowship at The Oxford Foundry, the University of Oxford’s Entrepreneurship center with a focus to build a new generation of ventures that better society.
Attended daily workshops and talks focused on entrepreneurship, leadership, and personal purpose, gaining valuable insights and skills for developing and managing innovative projects
Networked and collaborated with 30 mentors from various backgrounds and industries, discussing a variety of topics such as startup lifecycle, career progression, market research, etc.
Developed a python connector that transformed data from a cloud-based SAAS service (Monday.com) into a format that could be utilised by the business analytics software, Microsoft Power BI.
Documented the python connector development process and outcomes, ensuring the transparency and accountability of the project.
Analysed changes in the source data structure (such as new columns in Monday.com boards) and updated the python connector accordingly.
Dynamically analysed changes in the source data structure (such as new columns in Monday.com boards) and updated the python connector accordingly, ensuring the reliability and accuracy of the data transformation.
Created 8 GIS visualisations using malaria surveillance, census, and google maps data
Produced 33 advanced Malaria data visualisations using Tableau and DHIS2
Analysed and aggregated malaria surveillance and spray data for across geographical boundaries (countries, province, districts)
Analysed operational, census, and legacy data (excel, csv files)
Installed and Setup a Ubuntu Linux server
Deployed and configured a PostgreSQL server
Configured NGINX as a web server
Set-up a cloud and host-based firewall
Completed a 3-month fellowship at The Oxford Foundry, the University of Oxford’s Entrepreneurship center with a focus to build a new generation of ventures that better society
Attended daily workshops and talks focused on entrepreneurship, leadership, and personal purpose, gaining valuable insights and skills for developing and managing innovative projects
Networked and collaborated with 30 mentors from various backgrounds and industries, discussing a variety of topics such as startup lifecycle, career progression, market research, etc.
Developed a python connector that transformed data from a cloud-based SAAS service (Monday.com) into a format that could be utilised by the business analytics software, Microsoft Power BI
Documented the python connector development process and outcomes, ensuring the transparency and accountability of the project
Analysed changes in the source data structure (such as new columns in Monday.com boards) and updated the python connector accordingly
Dynamically analysed changes in the source data structure (such as new columns in Monday.com boards) and updated the python connector accordingly, ensuring the reliability and accuracy of the data transformation
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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