MukaddasA
π Data Science Explorer | π€ Interested in AI & ML | π Learning Python | Determined to grow, explore, and learn through codeπ»
Nigeria
Pinned Repositories
bash-for-beginners
Sample code for Bash for Beginners course
Google-Data-Analytics-Capstone-Project-Cyclistic-Bike-Share-Analysis
A comprehensive analysis and insights derived from the Google Data Analytics Capstone Project focused on Cyclistic, a bike-share program.
MukaddasA
This is my personal repository
mukaddasa.github.io
Pharmacy-Mangment-System
π¨βπ» :hospital: MEAN stack Pharmacy Management system.
PortfolioProjects
Repository to showcase my projects
scRNAseq-analysis
This project investigates the potential use of two FDA-approved antibody therapies, Trastuzumab and Bevacizumab, in additional cancers by analyzing available single-cell RNA-seq (scRNA-seq) data from cancer cell lines.
VeterinaryClinicDatabase
A database for managing a veterinary clinic's data including information about clients, doctors, patients, cases, diagnoses, prescriptions, pharmacy inventory, receipts, and more.
MukaddasA's Repositories
MukaddasA/VeterinaryClinicDatabase
A database for managing a veterinary clinic's data including information about clients, doctors, patients, cases, diagnoses, prescriptions, pharmacy inventory, receipts, and more.
MukaddasA/bash-for-beginners
Sample code for Bash for Beginners course
MukaddasA/Google-Data-Analytics-Capstone-Project-Cyclistic-Bike-Share-Analysis
A comprehensive analysis and insights derived from the Google Data Analytics Capstone Project focused on Cyclistic, a bike-share program.
MukaddasA/MukaddasA
This is my personal repository
MukaddasA/mukaddasa.github.io
MukaddasA/Pharmacy-Mangment-System
π¨βπ» :hospital: MEAN stack Pharmacy Management system.
MukaddasA/PortfolioProjects
Repository to showcase my projects
MukaddasA/scRNAseq-analysis
This project investigates the potential use of two FDA-approved antibody therapies, Trastuzumab and Bevacizumab, in additional cancers by analyzing available single-cell RNA-seq (scRNA-seq) data from cancer cell lines.