Psychologist transitioning into Data Science
I am passionate about using data to support mental health and well-being, especially among young people.
I am currently rebuilding my data science foundation through hands-on projects, continuous learning, and real-world storytelling with data.
- Refreshing my skills in Python, Pandas, and Machine Learning
- Exploring datasets on youth mental health, mood disorders, and suicide prevention
- Joining beginner-friendly data challenges on Kaggle and Zindi
- Sharing my learning journey through open projects
- Preparing for internship or remote junior data science roles by 2026
- Youth Mental Health & Suicide Prevention
- Mood Disorders & Emotional Well-being
- Natural Language Processing (NLP) for Mental Health
- Behavioural and Public Health Data
- Data Storytelling & Real-World Communication
Python · Pandas · NumPy · Matplotlib · Seaborn · Scikit-learn · Jupyter/Colab · Git/GitHub- Beginner-friendly end-to-end data science projects
- Projects related to predictive modelling or NLP, especially in the mental health space
- Understanding and applying predictive modelling and NLP as a beginner
- Getting hands-on experience with real-world datasets and practical workflows
- Guidance on transitioning into entry-level or internship opportunities in data science
Feel free to reach out to collaborate with me! Let’s grow together in this journey of using data for good.