Data Scientist
Location: Basel, Switzerland
Contact: seid.adem@gmx.ch
LinkedIn: Seid Adem
GitHub: Seid-M-Adem
Credly Badges: Seid Adem’s Badges
Welcome to my Data Science Portfolio! It showcases various projects and code examples that demonstrate my skills and experience in data science, machine learning, data visualization, and more. Each project is contained within its own directory and includes a detailed file explaining the project, the data used, and the results achieved.
Table of Contents
About Me
I am a data scientist with a Master’s degree in Epidemiology from the University of Basel and an IBM Data Science Professional Certificate. My passion lies in uncovering insights from data and building predictive models. My expertise includes statistical analysis, machine learning, data visualization, and more.
Professional Skills
- Data Analysis & Visualization: Proficient in analyzing complex datasets and creating compelling visualizations using Python, R, and SQL.
- Machine Learning: Experienced in applying machine learning algorithms to solve real-world problems.
- Epidemiology: Solid understanding of study design and analysis in epidemiology.
- Problem Solving & Communication: Strong skills in identifying challenges, developing solutions, and presenting findings effectively.
Education
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IBM Data Science |
IBM |
Dec 2023 |
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MSc in Epidemiology |
University of Basel, Switzerland |
Feb 2016 |
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BSc in Environmental Health |
University of Hawassa, Ethiopia |
Jul 2006 |
Technologies Used
- Languages: Python, R, SQL
- Libraries & Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, NLTK, SpaCy
- Tools: Jupyter Notebook, Git, GitHub, Anaconda
Projects
Project 1: Exploratory Data Analysis
- Tools: Python, Pandas, Matplotlib, Seaborn
- Skills: Data cleaning, visualization, statistical analysis
- Credential: IBM Digital Badge
Project 2: Machine Learning Model
- Tools: Python, Scikit-learn, Pandas, NumPy
- Skills: Feature engineering, model selection, evaluation, tuning
- Credential: IBM Digital Badge
Project 3: Data Visualization
- Tools: Python, Matplotlib, Seaborn, Plotly
- Skills: Data visualization, storytelling with data, interactive dashboards
- Credential: IBM Digital Badge
Project 4: Natural Language Processing
- Tools: Python, NLTK, SpaCy, Scikit-learn
- Skills: Text preprocessing, sentiment analysis, topic modeling
Project 5: Applied Data Science Capstone
- Tools: Python, Pandas, Matplotlib, Seaborn, Scikit-learn
- Skills: Problem definition, data collection, wrangling, EDA, visualization, model development, evaluation, documentation
- Credential: IBM Digital Badge
Health EPI Manager (Part-time)
ISS Facility Services AG, By FMI Friedrich Miescher Institute for Biomedical Research
- Lab Services, Basel
- Feb 2020 - Present
Fachhochschule Nordwestschweiz, Muttenz
- Research Assistant
- Jul 2017 - Mar 2018
Swiss Tropical and Public Health Institute, Basel
- Master’s Thesis Project
- Jan 2015 - Jan 2016
Legambo District Health Office, Ethiopia
- Healthcare Program Coordinator
- Jun 2009 - Jul 2013
Mandurah District Health Office, Ethiopia
- Junior Hygiene & Environmental Health Expert
- Oct 2006 - 2009
Feel free to reach out if you have any questions or would like to collaborate on a project.
Thank you for visiting my Data Science Portfolio! Your feedback and suggestions are always welcome.