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Updating my data journey
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yamachang committed Jul 26, 2023
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13 changes: 10 additions & 3 deletions config.yaml
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title: ''
url: /about/
weight: 2
- identifier: about
name: My Data Journey
post: ''
pre: ''
title: ''
url: /data-journey/
weight: 3
- identifier: posts
name: Portfolio
post: ''
pre: ''
title: ''
url: /posts/
weight: 3
weight: 4
# - identifier: tags
# name: Tags
# post: ''
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pre: ''
title: ''
url: "Yama-Chang-DS-resume.pdf"
weight: 4
weight: 5
- identifier: github
name: ''
post: ''
pre: <i class='fab fa-github fa-fw' aria-hidden='true'></i>
title: GitHub
url: https://github.com/yamachang
weight: 5
weight: 6
params:
home:
profile:
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33 changes: 33 additions & 0 deletions content/data-journey/index.en.md
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---
date: "2023-07-26T11:04:49+08:00"
description: My Data Journey
draft: false
images:
- /workstation.jpg
lightgallery: true
math:
enable: true
title: My Data Journey: From Clinical Psychology to Data Science
---

![Yama Chang](/images/columbia_campus_2019.jpg "Columbia campus in 2019")

My story isn't a conventional one. It does not follow the traditional path of computer science degrees and tech internships often associated with a career in data science. Instead, my journey started thousands of miles away and in an entirely different field—clinical psychology.
<br/>
In 2018, I moved to the U.S. to pursue a master's degree at Columbia University, specializing in Clinical Psychology with a concentration in Quantitative Methods. My interests were decidedly human-centric—mental health and anti-discrimination research—but my fascination with numbers and the stories they tell ran deep. Through this program, I could bridge my humanitarian interests with my quantitative inclinations, leading to an unusual but satisfying convergence.
<br/>
However, the real turning point came when I enrolled in a Data Science course in Columbia's Department of Biostatistics. As I learned to code using R, a world of possibilities unfurled before me. It was as though a puzzle piece had clicked into place, marking the first steps towards a career path intimately tied to data.
<br/>
My original ambition had been to become a clinical psychologist, envisioning my future in the realm of academia. But the more I immersed myself in data, the more I began to see my unique niche. I found myself increasingly serving in independent data roles across various positions, blending my psychological insight with my newfound data skills.
<br/>
Today, I am a data scientist at the Lab for Scalable Mental Health. Here, I bring my knowledge of data science to bear on multiple projects, particularly those involving the deployment of digital mental health tools. My work contributes to predicting the effectiveness of these tools in reducing mental health symptoms, an area of study I am deeply passionate about.
<br/>
Reflecting on my journey, it may seem unconventional, even serendipitous. From a background in clinical psychology to a career in data science is not a common transition, yet it feels undeniably right. I have discovered a profound passion for data science and its limitless potential to effect change. As I stand on the brink of a new chapter—transitioning to the industry sector—I am eager for the opportunities to learn, grow, and refine my skills in this exciting field.
<br/>
Indeed, my data journey is not a straight line—it is a rich tapestry woven from diverse experiences and a deep-seated passion for both the human and numerical worlds. I am excited about the future and all the data stories waiting to be discovered and told.
<br/>

<br/>
I am currently looking for opportunities as a data scientist in tech industry. If you think I am a good fit to your team/company, please feel free to get in touch via <a href="mailto: yc3508@tc.columbia.edu"> :(far fa-envelope fa-fw):</a><a href="https://www.linkedin.com/in/yama-yw-chang/">:(fab fa-linkedin fa-fw): I look forward to hearing from you! </a>


123 changes: 123 additions & 0 deletions content/data-journey/index.zh-cn.md
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---
date: "2019-08-02T11:04:49+08:00"
description: 关于 LoveIt
draft: false
images:
- /Apple-Devices-Preview.png
lightgallery: true
math:
enable: true
title: 关于 LoveIt
---

{{< style "img { height: 1.25rem; }" >}}
[![GitHub release (latest by date)](https://img.shields.io/github/v/release/dillonzq/LoveIt?style=flat-square)](https://github.com/dillonzq/LoveIt/releases)
[![Hugo](https://img.shields.io/badge/Hugo-%5E0.62.0-ff4088?style=flat-square&logo=hugo)](https://gohugo.io/)
[![License](https://img.shields.io/github/license/dillonzq/LoveIt?style=flat-square)](https://github.com/dillonzq/LoveIt/blob/master/LICENSE)
[![GitHub stars](https://img.shields.io/github/stars/dillonzq/LoveIt?style=social)](https://github.com/dillonzq/LoveIt)
[![GitHub forks](https://img.shields.io/github/forks/dillonzq/LoveIt?style=social)](https://github.com/dillonzq/LoveIt/fork)
{{< /style >}}

> [:(far fa-kiss-wink-heart fa-fw): LoveIt](https://github.com/dillonzq/LoveIt) 是一个由 {{< person "https://dillonzq.com/" Dillon "LoveIt 主题的作者" "/Dillon.png" >}} 开发的**简洁****优雅****高效**[Hugo](https://gohugo.io/) 博客主题。
>
> 它的原型基于 [LeaveIt 主题](https://github.com/liuzc/LeaveIt)[KeepIt 主题](https://github.com/Fastbyte01/KeepIt)
![Hugo 主题 LoveIt](/images/Apple-Devices-Preview.png "Hugo 主题 LoveIt")

## 特性

### 性能和 SEO

* :(fas fa-rocket fa-fw): **性能**优化:在 [Google PageSpeed Insights](https://developers.google.com/speed/pagespeed/insights) 中, [99]/[100] 的移动设备得分和 [100]/[100] 的桌面设备得分
* :(fab fa-searchengin fa-fw): 使用基于 JSON-LD 格式 的 **SEO SCHEMA** 文件进行 SEO 优化
* :(fab fa-google fa-fw): 支持 **[Google Analytics](https://analytics.google.com/analytics)**
* :(far fa-chart-bar fa-fw): 支持 **[Fathom Analytics](https://usefathom.com/)**
* :(fas fa-chart-column fa-fw): 支持 **[Plausible Analytics](https://plausible.io/)**
* :(fab fa-yandex-international fa-fw): 支持 **[Yandex Metrica](https://metrica.yandex.com/)**
* :(fas fa-sitemap fa-fw): 支持搜索引擎的**网站验证** (Google, Bind, Yandex and Baidu)
* :(fas fa-tachometer-alt fa-fw): 支持所有第三方库的 **CDN**
* :(fas fa-cloud-download-alt fa-fw): 基于 [lazysizes](https://github.com/aFarkas/lazysizes) 自动转换图片为**懒加载**

### 外观和布局

* :(fas fa-mobile-screen fa-fw): **[桌面端]/[移动端] 响应式**布局
* :(fas fa-circle-half-stroke fa-rotate-180 fa-fw): **[浅色]/[深色]** 主题模式
* :(fas fa-layer-group fa-fw): 全局一致的**设计语言**
* :(fas fa-ellipsis-h fa-fw): 支持**分页**
* :(far fa-list-alt fa-fw): 易用和自动展开的**文章目录**
* :(fas fa-language fa-fw): 支持**多语言**和国际化
* :(fab fa-css3-alt fa-fw): 美观的 **CSS 动画**

#### 社交和评论系统

* :(far fa-user fa-fw): 支持 **[Gravatar](https://gravatar.com)** 头像
* :(fas fa-user-circle fa-fw): 支持本地**头像**
* :(far fa-id-card fa-fw): 支持多达 **73** 种社交链接
* :(fas fa-share-square fa-fw): 支持多达 **24** 种网站分享
* :(far fa-comment fa-fw): 支持 **[Disqus](https://disqus.com)** 评论系统
* :(far fa-comment-dots fa-fw): 支持 **[Gitalk](https://github.com/gitalk/gitalk)** 评论系统
* :(far fa-comment-alt fa-fw): 支持 **[Valine](https://valine.js.org/)** 评论系统
* :(far fa-comments fa-fw): 支持 **[Facebook comments](https://developers.facebook.com/docs/plugins/comments/)** 评论系统
* :(fas fa-comment fa-fw): 支持 **[Telegram comments](https://comments.app/)** 评论系统
* :(fas fa-comment-dots fa-fw): 支持 **[Commento](https://commento.io/)** 评论系统
* :(far fa-comment-alt fa-fw): 支持 **[utterances](https://utteranc.es/)** 评论系统
* :(fas fa-comments fa-fw): 支持 **[giscus](https://giscus.app/)** 评论系统

### 扩展功能

* :(fas fa-search fa-fw): 支持基于 [Lunr.js](https://lunrjs.com/)[algolia](https://www.algolia.com/)**搜索**
* :(far fa-grin-tongue-wink fa-fw): 支持 **Twemoji**
* :(fas fa-code fa-fw): 支持**代码高亮**
* :(far fa-copy fa-fw): 一键**复制代码**到剪贴板
* :(far fa-images fa-fw): 支持基于 [lightGallery](https://github.com/sachinchoolur/lightgallery)**图片画廊**
* :(fab fa-font-awesome fa-fw): 支持 **[Font Awesome](https://fontawesome.com/) 图标**的扩展 Markdown 语法
* :(fas fa-superscript fa-fw): 支持**上标注释**的扩展 Markdown 语法
* :(fas fa-percentage fa-fw): 支持**分数**的扩展 Markdown 语法
* :(fas fa-square-root-alt fa-fw): 支持基于 [$\KaTeX$](https://katex.org/)**数学公式**
* :(fas fa-project-diagram fa-fw): 支持基于 [mermaid](https://github.com/mermaid-js/mermaid)**图表** shortcode
* :(fas fa-chart-pie fa-fw): 支持基于 [ECharts](https://echarts.apache.org/)**交互式数据可视化** shortcode
* :(fas fa-map-marked-alt fa-fw): 支持基于 [Mapbox GL JS](https://docs.mapbox.com/mapbox-gl-js)**Mapbox** shortcode
* :(fas fa-music fa-fw): 支持基于 [APlayer](https://github.com/MoePlayer/APlayer)[MetingJS](https://github.com/metowolf/MetingJS)**音乐播放器** shortcode
* :(fab fa-bilibili fa-fw): 支持 **Bilibili 视频** shortcode
* :(fas fa-note-sticky fa-fw): 支持多种**注释**的 shortcode
* :(fab fa-css3 fa-fw): 支持**自定义样式**的 shortcode
* :(fab fa-js-square fa-fw): 支持**自定义脚本**的 shortcode
* :(fas fa-i-cursor fa-fw): 支持基于 [TypeIt](https://typeitjs.com/)**打字动画** shortcode
* :(fas fa-cookie-bite fa-fw): 支持基于 [cookieconsent](https://github.com/osano/cookieconsent)**Cookie 许可横幅**
* :(far fa-user-circle fa-fw): 支持**人物标签**的 shortcode
* ...

## 许可协议

LoveIt 根据 **MIT** 许可协议授权。

更多信息请查看 [LICENSE 文件](https://github.com/dillonzq/LoveIt/blob/master/LICENSE)

## 特别感谢

LoveIt 主题中用到了以下项目,感谢它们的作者:

* [normalize.css](https://github.com/necolas/normalize.css)
* [Font Awesome](https://fontawesome.com/)
* [Simple Icons](https://github.com/simple-icons/simple-icons)
* [Animate.css](https://daneden.github.io/animate.css/)
* [autocomplete](https://github.com/algolia/autocomplete)
* [Lunr.js](https://lunrjs.com/)
* [algoliasearch](https://github.com/algolia/algoliasearch-client-javascript)
* [lazysizes](https://github.com/aFarkas/lazysizes)
* [object-fit-images](https://github.com/fregante/object-fit-images)
* [Twemoji](https://github.com/twitter/twemoji)
* [emoji-data](https://github.com/iamcal/emoji-data)
* [lightGallery](https://github.com/sachinchoolur/lightgallery)
* [clipboard.js](https://github.com/zenorocha/clipboard.js)
* [Sharer.js](https://github.com/ellisonleao/sharer.js)
* [TypeIt](https://typeitjs.com/)
* [$\KaTeX$](https://katex.org/)
* [mermaid](https://github.com/mermaid-js/mermaid)
* [ECharts](https://echarts.apache.org/)
* [Mapbox GL JS](https://docs.mapbox.com/mapbox-gl-js)
* [APlayer](https://github.com/MoePlayer/APlayer)
* [MetingJS](https://github.com/metowolf/MetingJS)
* [Gitalk](https://github.com/gitalk/gitalk)
* [Valine](https://valine.js.org/)
* [cookieconsent](https://github.com/osano/cookieconsent)
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