CakeResume Talent Search

Advanced filters
On
4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of Emily Ledoux.
Avatar of Emily Ledoux.
Principal @Cascade Data Labs
2016 ~ 2022
Director Data
Within two months
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
PowerPoint
Word
Excel
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Pennsylvania
Economics
Avatar of Sean Lee.
Avatar of Sean Lee.
Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司
2022 ~ Present
Software Developer
Within one month
李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in
JavaScript
ASP.NET MVC
HTML5
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Queensland University of Technology(昆士蘭科技大學)
Computer Science
Avatar of the user.
Avatar of the user.
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司
2022 ~ Present
Within two months
nlp machine learning
+python
AI & Machine Learning
Employed
Full-time
4-6 years
國立中央大學
認知與神經科學所
Avatar of the user.
Avatar of the user.
Senior Backend Developer @KryptoGO., Ltd.
2019 ~ 2020
Senior Backend Engineer
Within three months
Golang
Git
Docker
Employed
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National TSING HUA University
Institute of Communications Engineering
Avatar of 宋浩茹 Ellie Sung.
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn | GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
Python
R
Natural Language Processing (NLP)
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
資訊科學系
Avatar of the user.
Avatar of the user.
Founder @MyDearTeacher
2014 ~ 2022
Data, backend or project management
Within six months
Python
Machine Learning
Deep Learning
Employed
Full-time / Interested in working remotely
6-10 years
University of Colorado Boulder
Data Science
Avatar of Hafiza Anam Masood.
Avatar of Hafiza Anam Masood.
Sessional Assistant @Victoria University of Wellington
2022 ~ 2023
Researcher, Lecturer
Within six months
Hafiza Anam Masood I am a highly ambitious and self-driven individual skilled in Advanced Quantitative Research and Applied Methodology, currently immersed in a cutting-edge research project utilizing machine learning and NLP. Certified in Python for Financial Programming and Data Science Tools, complemented by practical insights from an Ethical Finance internship. Completed the Cambridge Islamic Finance Structuring Master, showcasing a global perspective. Proven proficiency in diverse Python projects, eager to contribute to impactful educational endeavors. https://www.linkedin.com/in/hafiza-anam-masood-ba7b09121 , Email: drhafizaanam@gmail.
Microsoft Office
Python
Quantitative Research
Studying
Full-time / Interested in working remotely
6-10 years
University of Management and Technology - UMT
Avatar of Ryan Chen.
Avatar of Ryan Chen.
Software Engineer @CakeResume
2022 ~ Present
Software Engineer
Within one month
analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
React
TypeScript
JavaScript
Reputation Credits1
Employed
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
Computer Science and Information Engineering
Avatar of Yu Ren Ke.
ML / Data Engineer
Within one year
+ years' experiences in NLP, Computer Vision, recommendation system. Passionate about machine learning, data mining, NLP, Computer Vision and big data analytics. Skills Programming Languages C/C++ Python SQL R Swift Java Data Engineering / Machine Learning Tools Scikit-Learn, Numpy, Pandas Tensorflow, Keras, Pytorch NLP: Gensim, Jieba, BERT Visualization: pyplot, ggplot2 Similarity Search: Faiss Workflow: Airflow Cloud: GCP BigQuery, GAE, GCE, GCS, Dataproc, Dataflow, Data Studio DB: MySQL, PostgreSQL Search Engine: ElasticSearch Distributed Computing: pyspark Docker Domain Knowledge Machine Learning: SVM, Logistic Regression, Random Forest, GBM,...etc. Deep Learning: CNN
Full-time / Not interested in working remotely
6-10 years
交通大學
資訊工程
Avatar of 江易倫.
Avatar of 江易倫.
Past
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力,擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案
Python
SQL
NLP
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
資訊科學系

The Most Lightweight and Effective Recruiting Plan

Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.

  • Browse all search results
  • Unlimited access to start new conversations
  • Resumes accessible for only paid companies
  • View users’ email address & phone numbers
Search Tips
1
Search a precise keyword combination
senior backend php
If the number of the search result is not enough, you can remove the less important keywords
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.

Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
More than one year
Data Scientist
Logo of Taboola Taiwan .
Taboola Taiwan
2021 ~ Present
Taiwan, 台灣
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Information Services
Work experience
2-4 years
Management
None
Skills
English
Python
R
tensorflow
Data Mining
Data Science
Data Visualization
DeepLearning
Scikit-Learn
Japanese N1
Recommendation System
Machine Learning
SQL
Hadoop
Hive
Spark
Languages
English
Professional
Japanese
Fluent
Job search preferences
Positions
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Job types
Full-time
Locations
Taipei, 台灣
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
國立清華大學 National Tsing Hua University
Major
Service Science(Data Analyze & Information System)
Print

Wqslpmty9poyhqozyew7

陳宣佑 HsuanYu CHEN

From the background of statistics in NCCU, Yu graduated from his master degree in Institute of Service Science in NTHU, with a major module of business data analytics. He has 4 year experience of Python and R in his college projects and 6 internships, including chatbot, comdceputer vision, time series forecast, recommendation system, customer clustering / prediction, and NLP etc. His thesis focuses on improving literature review efficiency with semi-supervised learning on a small number of PDF data. Compared to normal CS background students, Yu not only has solid programming skills with statistical concepts but also great communication skills due to the previous bilingual learning environment when exchanging to Japan. 

Intern & Research Assistant

LINE, TECH FRESH  [R, Python, Hive, Spark, K8S]                                      Jul 2020 - Jun 2021

    -     Check raw data quality and source back to KR/JP data source to improve data quality

    -     EDA on large scale EC web record with pySpark, SQL to find insight

    -     Data visualization report & R dashboard with K8S

    -     Recommendation API service from scratch, including algorithm, ETL, API deployment, metrics

    -     Recommendation related metrics study, documentation from biz, model, UX aspects

CRUXOVER, Data Engineer  [Python, R, Azure]                                        Oct 2019 - Sep 2020

    -     Recommendation system with spark.ml

    -     Python & R tutorial design

    -     Potential Customer Prediction with data pipeline using Azure

    -     Refactor Python feature engineering code into SQL, saving 80% computation time

    -     IoT data engineering & code refactor

NTHU, Research Assistant of SDG project  [Python]                               Jun 2019 - Dec 2019

    -     Research various deep learning embedding technique in NLP 

    -     Web crawling of online journal paper

InQuartik, NLP Assistant Engineer (Summer Intern)  [Python]             Jul 2019 - Sep 2019

    -     Japanese English translation algorithm NLP research

Cinnamon, Computer Vision Researcher (Summer Intern)  [Python]  Jul 2019 - Sep 2019

    -     Build a web AI application which can classify over 100 categories of NIKE shoes

    -     Integrate front-end & model with python flask, numpy, pandas

    -     Design marketing plan and pitch this AI product to CEO

    -     Independent research of CV algorithm for better image segmentation performance

IProspect, Data Consultant/ Data Analyst [Python, R]                          Feb 2019 - Jun 2019

    -    Data cleaning & Feature engineering of large scale makeup shopping data 

    -    Applied Xgboost algorithm to predict probability of buying each category of makeup for each customer  

    -    Applied Cspade association algorithm to mine customer behavior and give recommendations to ad 

Gigabyte, Data Science Intern [Python]                                                  Aug 2018 - Jun 2019

    -     Build customer & inner-service chatbot from scratch

    -     Build automated program to produce daily recognition data analysis report with visualization.

    -     Linux OS Python environment building, Gitlab code version control

    -     App/ Software interface English/ Japanese translation

AIU, Japanese Learner Quantitative Research Statistics Assistant   Dec 2017 - Jul 2018

    -    R programming & Statistics Model Teaching

    -    Give advice of how to quantitatively analyze learners' result

Course Project

[Business Analytics with Time Series] - T. S. Prediction & Dashboard               Dec 2020

    -    Fit & select various time series model for explain & prediction purpose

    -    Build a dashboard with R of real-time prediction & customer statistics

[Business Analytics with Data Mining] - Video Platform Customer Tagging     Jun 2020

    -    Predict suitable plan for free user

    -    Predict user that may cancel in the next period based on behavior feature

[Text Mining] - NLP based Song Recommendation                                               Jun 2019

    -    Use Google Universal Sentence Encoding to recommend song with lyrics

[Side Project] - SET News WordCloud Chatbot                                                      Apr 2019

    -    Real time crawling of web data through user's query

    -    Build back-end system with cloud server Heroku and Python web framework "flask"

    -    Apply jieba package with pandas' vector computation to speed up reply time

[Big Data Analysis] - Gamer Shopping & Deposit Recommendation System   Dec 2018

    -    Data cleaning & Feature engineering of over 1,000,000 deposit, item shopping, login data

    -    Cluster user behavior with EM machine learning algorithm and make marketing plan for each group

    -    Build a recommendation system in Python to implement collaborative filtering (Test Accuracy: 90%).

         (It was build as a web application with Flask, HTML, Jinja. It can be as designed as a API for game system)

[Machine Learning] - Twitter Text Mining & Neural Network Emoji Predict     Jun 2018

    -    Stream over 30000 text data with Twitter API and process the text data

    -    Reduce dimension with t-SNE algorithm and plot the vector relation of emoji 

    -    Predict emoji based on text with bag-of word and DNN, Xgboost.

[Econometrics] - Mango Pricing Time Series Analysis [R]                                      Jun 2017

    -    Collect fruit transaction data from public platform and crawl historical weather data

    -    Statistics test on various time variable to find significant ones

    -    Write into statistics report of how pricing of mango can be forecasted by my model

[Psychology Digital Technics] - Dcard Web Crawler & Text Mining [R]                Jun 2017

    -    Stream articles data from different forum and data cleaning

    -    Visualize word using behavior for different gender with wordcloud

         (Males have more word about 'myself',, females have more word about "my boyfriends")

Education

National Tsing Hua University, Service Science, Master                  Feb 2019 - Jun 2021

    -    Master degree of Service Science with major of information system & data analytics

    -    Course including quantitative and qualitative analysis method

Akita International University, Exchange Student                           Sep 2017 - Aug 2018

    -    Represent NCCU as exchange student, studying global business, machine learning, information science

    -    Language Exchange program as English, Chinese teacher

National Cheng Chi University, Statistics, Bachelor                       Sep 2014 - Jan 2019

    -    Course from basic to advance statistics, such as ANOVA, mathematical statistics.

Skills


Programming

Python: sklearn, tf, flask, pyspark,   jieba, gensim, etc

R: ggplot, dplyr, various statistics         model etc

SQL: MsSQL, NoSQL, HiveQL, SparkSQL


Language

English

    -    TOEIC 945 [2018/7]

    -    TOEFL 97 [2016/9]

Japanese

    -    N1 152 / 180 [2018/7]


Online Course

Coursera

    -    Natural Language Processing

    -    Sequence Model (deeplearning)

    -    Applied Machine Learning

    -    Bayesian Statistics 

Extracurricular Activities

NCCU Recruit Month [Annual Event],  Marketing member               Dec 2016 - Mar 2017

    -    Write Facebook Articles to promote each company to students

    -    Design virtual events to let students know more about the content about our event

    -    Collect questionnaires and visualize with  R's ggplot2.

NCCU Statistics Camp 7th, Marketing & Public Relation leader         Apr 2016 - Jul 2016

    -     Write Facebook Articles to promote the camp to high school student (Finally over 130 students enrolled)

    -     Track View data from Facebook backend to customize the article content

Resume
Profile

Wqslpmty9poyhqozyew7

陳宣佑 HsuanYu CHEN

From the background of statistics in NCCU, Yu graduated from his master degree in Institute of Service Science in NTHU, with a major module of business data analytics. He has 4 year experience of Python and R in his college projects and 6 internships, including chatbot, comdceputer vision, time series forecast, recommendation system, customer clustering / prediction, and NLP etc. His thesis focuses on improving literature review efficiency with semi-supervised learning on a small number of PDF data. Compared to normal CS background students, Yu not only has solid programming skills with statistical concepts but also great communication skills due to the previous bilingual learning environment when exchanging to Japan. 

Intern & Research Assistant

LINE, TECH FRESH  [R, Python, Hive, Spark, K8S]                                      Jul 2020 - Jun 2021

    -     Check raw data quality and source back to KR/JP data source to improve data quality

    -     EDA on large scale EC web record with pySpark, SQL to find insight

    -     Data visualization report & R dashboard with K8S

    -     Recommendation API service from scratch, including algorithm, ETL, API deployment, metrics

    -     Recommendation related metrics study, documentation from biz, model, UX aspects

CRUXOVER, Data Engineer  [Python, R, Azure]                                        Oct 2019 - Sep 2020

    -     Recommendation system with spark.ml

    -     Python & R tutorial design

    -     Potential Customer Prediction with data pipeline using Azure

    -     Refactor Python feature engineering code into SQL, saving 80% computation time

    -     IoT data engineering & code refactor

NTHU, Research Assistant of SDG project  [Python]                               Jun 2019 - Dec 2019

    -     Research various deep learning embedding technique in NLP 

    -     Web crawling of online journal paper

InQuartik, NLP Assistant Engineer (Summer Intern)  [Python]             Jul 2019 - Sep 2019

    -     Japanese English translation algorithm NLP research

Cinnamon, Computer Vision Researcher (Summer Intern)  [Python]  Jul 2019 - Sep 2019

    -     Build a web AI application which can classify over 100 categories of NIKE shoes

    -     Integrate front-end & model with python flask, numpy, pandas

    -     Design marketing plan and pitch this AI product to CEO

    -     Independent research of CV algorithm for better image segmentation performance

IProspect, Data Consultant/ Data Analyst [Python, R]                          Feb 2019 - Jun 2019

    -    Data cleaning & Feature engineering of large scale makeup shopping data 

    -    Applied Xgboost algorithm to predict probability of buying each category of makeup for each customer  

    -    Applied Cspade association algorithm to mine customer behavior and give recommendations to ad 

Gigabyte, Data Science Intern [Python]                                                  Aug 2018 - Jun 2019

    -     Build customer & inner-service chatbot from scratch

    -     Build automated program to produce daily recognition data analysis report with visualization.

    -     Linux OS Python environment building, Gitlab code version control

    -     App/ Software interface English/ Japanese translation

AIU, Japanese Learner Quantitative Research Statistics Assistant   Dec 2017 - Jul 2018

    -    R programming & Statistics Model Teaching

    -    Give advice of how to quantitatively analyze learners' result

Course Project

[Business Analytics with Time Series] - T. S. Prediction & Dashboard               Dec 2020

    -    Fit & select various time series model for explain & prediction purpose

    -    Build a dashboard with R of real-time prediction & customer statistics

[Business Analytics with Data Mining] - Video Platform Customer Tagging     Jun 2020

    -    Predict suitable plan for free user

    -    Predict user that may cancel in the next period based on behavior feature

[Text Mining] - NLP based Song Recommendation                                               Jun 2019

    -    Use Google Universal Sentence Encoding to recommend song with lyrics

[Side Project] - SET News WordCloud Chatbot                                                      Apr 2019

    -    Real time crawling of web data through user's query

    -    Build back-end system with cloud server Heroku and Python web framework "flask"

    -    Apply jieba package with pandas' vector computation to speed up reply time

[Big Data Analysis] - Gamer Shopping & Deposit Recommendation System   Dec 2018

    -    Data cleaning & Feature engineering of over 1,000,000 deposit, item shopping, login data

    -    Cluster user behavior with EM machine learning algorithm and make marketing plan for each group

    -    Build a recommendation system in Python to implement collaborative filtering (Test Accuracy: 90%).

         (It was build as a web application with Flask, HTML, Jinja. It can be as designed as a API for game system)

[Machine Learning] - Twitter Text Mining & Neural Network Emoji Predict     Jun 2018

    -    Stream over 30000 text data with Twitter API and process the text data

    -    Reduce dimension with t-SNE algorithm and plot the vector relation of emoji 

    -    Predict emoji based on text with bag-of word and DNN, Xgboost.

[Econometrics] - Mango Pricing Time Series Analysis [R]                                      Jun 2017

    -    Collect fruit transaction data from public platform and crawl historical weather data

    -    Statistics test on various time variable to find significant ones

    -    Write into statistics report of how pricing of mango can be forecasted by my model

[Psychology Digital Technics] - Dcard Web Crawler & Text Mining [R]                Jun 2017

    -    Stream articles data from different forum and data cleaning

    -    Visualize word using behavior for different gender with wordcloud

         (Males have more word about 'myself',, females have more word about "my boyfriends")

Education

National Tsing Hua University, Service Science, Master                  Feb 2019 - Jun 2021

    -    Master degree of Service Science with major of information system & data analytics

    -    Course including quantitative and qualitative analysis method

Akita International University, Exchange Student                           Sep 2017 - Aug 2018

    -    Represent NCCU as exchange student, studying global business, machine learning, information science

    -    Language Exchange program as English, Chinese teacher

National Cheng Chi University, Statistics, Bachelor                       Sep 2014 - Jan 2019

    -    Course from basic to advance statistics, such as ANOVA, mathematical statistics.

Skills


Programming

Python: sklearn, tf, flask, pyspark,   jieba, gensim, etc

R: ggplot, dplyr, various statistics         model etc

SQL: MsSQL, NoSQL, HiveQL, SparkSQL


Language

English

    -    TOEIC 945 [2018/7]

    -    TOEFL 97 [2016/9]

Japanese

    -    N1 152 / 180 [2018/7]


Online Course

Coursera

    -    Natural Language Processing

    -    Sequence Model (deeplearning)

    -    Applied Machine Learning

    -    Bayesian Statistics 

Extracurricular Activities

NCCU Recruit Month [Annual Event],  Marketing member               Dec 2016 - Mar 2017

    -    Write Facebook Articles to promote each company to students

    -    Design virtual events to let students know more about the content about our event

    -    Collect questionnaires and visualize with  R's ggplot2.

NCCU Statistics Camp 7th, Marketing & Public Relation leader         Apr 2016 - Jul 2016

    -     Write Facebook Articles to promote the camp to high school student (Finally over 130 students enrolled)

    -     Track View data from Facebook backend to customize the article content