ikenna chukwuemeka
ikenna chukwuemeka He
Learner
(1)
3
Location
Calgary, Alberta, Canada
Bio

I am a data scientist and a seasoned professional in public health with over a decade of experience.
My educational background includes a bachelor’s degree in medical sciences from Ambrose Alli university Ekpoma, specializing in Histopathology, and a diploma in Data Science from Lighthouse Labs.
I began my professional career in 2005, working in Medical Laboratories at tertiary and secondary hospitals until 2010.
In 2011, I transitioned into public health, starting as a volunteer, and progressing to become a Program Manager for various non-profit organizations.
Noteworthy projects I managed include initiatives such as HIV/AIDS, TB, Maternal & Child health, etc., funded by USAID, WHO, Global Funds, Jhpiego, UNDP and EU.
My skills in Data Science and Public Health include effective program management, monitoring and evaluation, report writing, data analysis and visualization using BI tools. I also possess programming and machine learning expertise with python for data-driven decision-making.
Outside of work, I enjoy staying informed about political news, playing chess and soccer.

Portals
Categories
Data visualization Data analysis Data modelling Public health Data science

Skills

Application development 1 Application programming interface (api) 1 Data analysis 1 Data processing 1 Data science 1 Debugging 1 Effective communication 1 Health technology 1 Pandas (python package) 1 Sales prospecting 1

Socials

Recent projects

Sofvie Inc.
Sofvie Inc.
Greater Sudbury, Ontario, Canada

Health Dashboard in Python/Flask

The project scope entails the development of a Python/Flask application for a health-related purpose, which will include the implementation of various charts. Learners participating in this project will have the opportunity to engage in a real-world application development scenario, focusing on data analysis and visualization within the context of health data. The dataset analysis will aim to provide insightful information that can significantly impact business outcomes and drive strategic decision-making.Throughout the project, learners will gain practical experience in data handling, analysis, and visualization using Python and Flask. They will be tasked with extracting valuable insights from the datasets, identifying trends, patterns, and correlations that could potentially contribute to improving processes and enhancing overall understanding within the health domain. Furthermore, learners will have the opportunity to contribute to the development of the app, implementing charts and visual representations to effectively communicate the findings derived from the dataset analysis.Participation in this project will provide learners with a comprehensive understanding of data analysis methodologies, emphasizing the significance of accurate interpretation and effective communication of findings. Additionally, learners will acquire valuable experience in utilizing Python and Flask for application development in the health sector, which can serve as a solid foundation for future career prospects in the fields of data science, software development, and health technology. The exposure to practical application development within the context of a health-related project will enable learners to refine their skills and foster a deeper understanding of the intersection between data analysis, technology, and healthcare, thereby preparing them to make meaningful contributions in the evolving landscape of the health industry.

Matches 1
Category Databases + 4
Closed

Personal projects

Analysis on Liver Disease Diagnosis and Prediction
August 2023 - August 2023
https://github.com/Ikennaodinye/Final_Project_Liver_Diagnosis

Problem: Accurate and early diagnosis of liver disease is critical for effective treatment and patient well-being.

Motivation: Improving diagnosis can lead to better healthcare outcomes, reduced medical costs, and enhanced patient care.
Diagnosis:
Blood tests or Liver function tests which is the basis of this project in the major way of diagnosing liver disease measures enzymes, bilirubin, and proteins to assess how well the liver is functioning.
Project goals & objectives:
Improving Healthcare service delivery - Contribute to enhanced patient care, reduced medical costs, and improved healthcare outcomes through reliable diagnosis.

Early Detection - Identify features that contribute to early detection of liver disease, enabling timely medical interventions.
Accurate Diagnosis - Develop predictive models to accurately diagnose liver disease based on patient data.