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最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
Definition of Reputation Credits
Chiao-Ting Tsai
New grad seeking an entry-level job
California, USA
I am a recent graduate from Cal State East Bay with an M.S. in Statistics with a data science concentrate. I have a solid background and practical knowledge in data analysis, statistical modeling, statistical analysis, data visualization, and machine learning. Seeking an entry position in the data scientist field to leverage skills and gain more practical work experience. Willing and able to work remotely.
Check more on Github!
https://github.com/ct627/My_Portfolio/blob/master/README.md
Experience
Data Scientist
CrowdDoing
Oct. 2020 - Present
CA, USA
Job Functions :
- Data collection: Scraping 35 target herbs data based on research articles from the National library of medicine.
- Data analysis: Apply natural language processing to detect herbs’ effectiveness in stress, sleep, and anxiety.
- Data visualization: Use Tableau to build maps to see relations between wildfire and other factors include zip code, vegetation, climate, etc. Check out my work! https://public.tableau.com/profile/crowddoing#!/
Skills
- RStudio
- SQL
- PostgreSQL
- Python
- Jupyter Lab
- Tableau
- Tableau Public
- MS Office
- Word, Excel, PowerPoint
Certifications
- Master SQL for Data Science
Issuing authority LinkedIn
Issued date Sep 2020 Tableau Essential Training
Issuing authority LinkedIn
Issued date Sep 2020- Master Python for Data Science
Issuing authority LinkedIn
Issued date Aug 2020
Language
- Chinese
- Native
- English
- Professional
Project & Related Works
Demand prediction - Python
Forecast use of a city bike-share system, using machine learning algorithms to predict the number of hourly bike share rentals.
Loan_Prediction - R-Studio
Use machine learning algorithms to the Lending Club data from 2012-2014.
The highest accuracy is 0.83.
(KNN model)
Data Cleaning - R-Studio
The dataset includes missing value, complex formats need fixing up and standardizing categories. Clean and prepare well for later analysis.
Education
California State University East Bay
Statistics
2018 – 2020
Providence University
Statistics
2011 – 2015
Chiao-Ting Tsai
New grad seeking an entry-level job
California, USA
I am a recent graduate from Cal State East Bay with an M.S. in Statistics with a data science concentrate. I have a solid background and practical knowledge in data analysis, statistical modeling, statistical analysis, data visualization, and machine learning. Seeking an entry position in the data scientist field to leverage skills and gain more practical work experience. Willing and able to work remotely.
Check more on Github!
https://github.com/ct627/My_Portfolio/blob/master/README.md
Experience
Data Scientist
CrowdDoing
Oct. 2020 - Present
CA, USA
Job Functions :
- Data collection: Scraping 35 target herbs data based on research articles from the National library of medicine.
- Data analysis: Apply natural language processing to detect herbs’ effectiveness in stress, sleep, and anxiety.
- Data visualization: Use Tableau to build maps to see relations between wildfire and other factors include zip code, vegetation, climate, etc. Check out my work! https://public.tableau.com/profile/crowddoing#!/
Skills
- RStudio
- SQL
- PostgreSQL
- Python
- Jupyter Lab
- Tableau
- Tableau Public
- MS Office
- Word, Excel, PowerPoint
Certifications
- Master SQL for Data Science
Issuing authority LinkedIn
Issued date Sep 2020 Tableau Essential Training
Issuing authority LinkedIn
Issued date Sep 2020- Master Python for Data Science
Issuing authority LinkedIn
Issued date Aug 2020
Language
- Chinese
- Native
- English
- Professional
Project & Related Works
Demand prediction - Python
Forecast use of a city bike-share system, using machine learning algorithms to predict the number of hourly bike share rentals.
Loan_Prediction - R-Studio
Use machine learning algorithms to the Lending Club data from 2012-2014.
The highest accuracy is 0.83.
(KNN model)
Data Cleaning - R-Studio
The dataset includes missing value, complex formats need fixing up and standardizing categories. Clean and prepare well for later analysis.
Education
California State University East Bay
Statistics
2018 – 2020
Providence University
Statistics
2011 – 2015