Skip to content

Commit

Permalink
Update README.md
Browse files Browse the repository at this point in the history
  • Loading branch information
kiroah authored Aug 15, 2024
1 parent 1c1fb9e commit ab239a0
Showing 1 changed file with 12 additions and 2 deletions.
14 changes: 12 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,2 +1,12 @@
# portfolio
Portfolio site to summarize my personal projects
# Portfolio portal
Summarized list of projects done for portfolio making purposes. More details in each repo/folder.

Better UI version [here](https://www.datascienceportfol.io/kiroah).

## Projects
* __[Causal impact analysis of marriage to mental health](https://github.com/kiroah/marriage_and_depression)__ - Analysis of how marriage effects the chances of having depression based on NLS (National Longitudinal Survey) data. Analysis was done using traditional methods (simple logistic regression, PSM, IPW) and newer methods (t-learner, double machine learning) w/ DoWhy & EconML.
* __[Dashboarding in various tools](https://github.com/kiroah/portfolio_portal/tree/main/dashboarding) - Created dashboard in different tools to compare & contrast. Pros & cons are written in [Medium](https://medium.com/@hiroakiroa/i-learned-published-dashboards-in-6-free-visualization-tools-heres-the-fastest-and-easiest-9a66df98c5ae). Github stores the dashboard code for Panel and Plotly, which were deployed in GCP.
* __[Applying ML techniqnues to classify ASD writers using only part-of-speech information](https://github.com/kiroah/neurodiversity) - Project to classify Reddit posts written by people with ASD (Autistic Spectrum Disorder) without revealing the content, but only use POS (e.g. noun, verb, etc) information. Tested different classifiers (Logistic regression, LGBM, Random Forest, etc) as well as neural network based (RNN).
* __[Correlation analysis of world happiness report data with other open data](https://github.com/kiroah/portfolio_portal/blob/main/world_happiness/world_happiness.ipynb) - A hypothetical project to run a deeper analysis of the World Happiness Report (https://worldhappiness.report/) data with other open data from the World Bank (e.g. income, health expenditure) to see what KPIs/signals correlates to people's happiness.
* __[Quantitative analysis to words frequently used by ChatGPT-as-an-editor](https://github.com/kiroah/ai_editted_articles) - Prompted ChatGPT to edit data science articles on Medium and analyzed the differences in word frequency before and after the ChatGPT edits. Additionally analyzed the word frequency change between 2022 (pre-chatGPT) and 2023 (post-chatGPT) to find similar trend in word frequency change.
*

0 comments on commit ab239a0

Please sign in to comment.