Irene Busah
Ciencia de Datos en Carnegie Mellon University Africa
Ruanda
¡Hola, soy Irene Busah!
Backend Software Engineer en Comprehensive Staffing Resources Ltd
Backend Software Developer and Data enthusiast with expertise in data science and machine learning, specializing in Django, Python, and predictive analytics. Aims to build data-driven systems that boost efficiency and enhance decision-making by 30%. Seeking an internship to apply skills to impactful projects, support organizational goals, and gain practical experience in data innovation.
Experiencia
Comprehensive Staffing Resources Ltd
Backend Software Engineer
January 2023 - March 2024
● Developed and deployed backend architecture for the company's website using Django and Django Rest Framework, leading to a 25% increase in serving clients. ● Built a Hospital KPI Dashboard Tool with Python, Django, and ChartJs, streamlining data analysis and enhancing our client’s decision-making speed by 30%, while ensuring robust data security. ● Designed and delivered backend solutions for various business applications with Django, significantly reducing response times and boosting overall performance by 40%. ● Developed backend systems for internal company projects, including a Company Intranet and e-commerce platform using Django and Django Rest Framework, enhancing operational efficiency by 45% and contributing to a 20% increase in sales post-launch.
Educación
Ciencia de Datos
Carnegie Mellon University Africa
Graduado en 2026
Certificaciones y Distintivos
No se agregó certificaciones o distintivos
Proyectos
- Collaborated on designing, developing, and deploying a hospital dashboard system for a hospital corporation. The aim was to have a centralized dashboard for the management to see the performance of all their hospital centers.
- Admins within each center can log in with the credentials created by the general admin. Data privacy is key for the company; hence, a robust authentication & authorization was set up to ensure hospital admins log in to their expected dashboard.
- Management can access charts and graphs of different KPI metrics of the various hospitals on their dashboard. They can navigate to any of their hospital centers' dashboards.
- Hospital admins can add data.
- Analyzed the relationship between air transport demand and economic growth (GDP per capita) in Ghana from 1990 to 2023, using linear regression models to identify trends and predict future demand.
- Cleaned and transformed datasets sourced from the World Bank, filled missing values using median imputation, and conducted exploratory data analysis (EDA) with visualizations to assess historical trends.
- Employed statistical methods such as Ordinary Least Squares (OLS) and Scipy's linear regression for model building, achieving a 52.8% R-squared value, indicating the relationship's strength.
- Recommended economic policies and infrastructure improvements to boost air travel, based on findings that showed a significant correlation between GDP growth and increased air transport activity
Idiomas
Inglés
Profesional
Habilidades
Python Developer
Data Analyst
Power BI
Data Manipulation
Data Visualization
Regression Models
Regression Analysis
Data Science
Machine Learning
Django
Java
Node.js
SQL Database
AWS
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