Imane EL Missaoui | Health Data scientist |

Welcome to my data science portfolio! Here you’ll find a collection of projects and analyses that showcase my skills and experience in data science, machine learning, and statistical analysis.

About Me

I’m a data scientist with a passion for using data to solve real-world problems. I have experience working with a variety of data sources and tools, including Python, R, SQL. I am passionate about data science and eager to continue learning and growing in this field.

Education

M.S.in Health Management and Engineering-Health Data science at Lille Faculty of Health Management and Engineering(2022-2024)

B.S., Physics and Chemistry at Grenoble Alpes University(2020-2022)

Intensive one/two-year university foundation course preparing for competitive entrance examinations to Engineering schools at Lycée D’Excellence de Benguerir(2017-2019)

Scientific Baccalaureate, equivalent to High School Diploma specializing in Math and Physics passed with distinction.

Work experience

Data scientist apprenticeship @LIP6 Data scientist intern @Lille Neurosciences and cognition center

Projects

Here are some of the projects I’ve worked on recently:

Project 1: Uncovering The Topological Features For The Characterisation Of A New Biomarker In Parkinson’s Disease

The objective of this project is to use Topological data analysis to uncover topological features that can help to differentiate the different stages of the Parkinson’s disease progression, but also discriminate between parkinsonians and healthy individuals. The identification and analysis of these topological features have the potential to characterize a new biomarker that can help in patient prognosis and stratification to improve patient’s selection in clinical trials. You can view the code and analysis for this project in the https://github.com/imaneelmissaoui/Internship-neurodatascience.

Project 2: Investigating Maternal Inflammation During Pregnancy and its Association with Autism Spectrum Disorder in Offspring

Our goal is to create a Knowledge graph using large language models, connecting key aspects from various fields like epidemiology, immunology, and neurobiology, that breaks down the complex relationship between maternal inflammation and its impact on neurodevelopment by identifying the molecular connections, uncovering causal pathways, and shedding light on possible interventions. You can view the code and analysis for this project in the https://github.com/imaneelmissaoui/LLMs_and_KGs.

Project 3: Polyps Classification and Database design and construction to help diagnose earlier necessary interventions

Project 4: Dashboard construction using Dash in python

https://projetdatajobmarket.onrender.com/

Skills

Here are some of the skills I have experience with:

• Programming languages: Python, R, SQL
• Data visualization: Matplotlib, Seaborn, Dash, Rshiny
• Machine learning: Scikit-learn, TensorFlow, Keras,Pytorch
• Statistical analysis: Hypothesis testing, regression analysis, time series analysis, bayes data analysis, survival analysis

Certificates

Datascientist Associate Certificate Datacamp 2024

R programming JOHNS HOPKINS UNIVERSITY 2022

Python for Data science IBM 2022

Data Analysis With Python IBM 2022

Contact

If you’d like to learn more about my work or discuss a potential collaboration, please feel free to contact me at imaneelmissaoui23@gmail.com or connect with me on https://www.linkedin.com/in/imane-el-missaoui/.

Thanks for visiting my portfolio!