• Hi!
    I'm Kira

    Self-motivated data scientist with business and analytics background

  • I am
    a Data Scientist

    Skilled in interpreting and analyzing data and good knowledge in programming

    Download CV

About Me

Who Am I?

Hi I'm Kira Liang I am a data scientist from Taiwan, currently living in the Netherlands. I have a passion for data and several hands-on experiences in solving business problems across multiple domains. During my academic training and working experience, I have been a specialist at managing complex raw datasets and transferred them into valuable insights to achieve objectives. Also I enjoy working in a team, I believe you can learn faster and much more.

Creative

Detail-oriented

Team work

Initiative

Cities
Countries
Projects
Languages
What I do?

These are some of my expertise

Data Analytics

Data Mining

Machine Learning

Natural Language Processing

Information Retrieval

Big Data

Python

85%

SQL

75%

R

65%

HTML,CSS

65%

AWS

60%

JAVA

40%
Academic background

Education

University of Amsterdam
2018/9 - 2019/8
The Netherlands

  • Translate scientific, societal and business challenges into data related solutions
  • Machine learning and deep learning techniques
  • Big data cloud application

Institute for Information Industry
2016/12 - 2017/6
Taiwan

  • Data analytics application:
  • Programming in Java, R, python
  • Big Data framework(Hadoop ecosystem)
  • Relational and non-relational database applications (SQL server & MongoDB)

National ChengChi University
2012/9 - 2016/6
Taiwan

  • Micro/macro economics
  • Statistics
  • Financial management
Experience

Work Experience

AI consultant 2021/9 - Current Deloitte

  • Develop computer vision model to monitor animal welfare in slaughterhouse

Data analyst 2020/3 - 2021/7 Zivver

  • Create ELT data pipeline for commercial data
  • Conduct statistical modeling to facilitate business decisions
  • Provide actionable insights, recommendations to the sales and marketing teams.

Machine learning specialist intern 2019/4 - 2019/6 Elsevier

  • Developed a deep learning model (BERT: Deep Bidirectional Transformers) that utilized text features from raw noisy abstract and title to correctly classify multi-labeled scientific articles
  • Outperformed the baseline model at 39% with respect to accuracy

Data Scientist 2018/4 - 2018/8 Digiwin Software Co., Ltd.

  • Developed insightful metrics, dashboards, reports and insights for the executive team
  • Prediction of retirement: Quantified retirement reasons, reduced employee turnover rate by 12% and reduced business operation cost by 22%
  • Product sales forecast: Gauged product demand and increased inventory turnover rate by 15%

Data Scientist 2017/4 - 2018/3 ProphetStor Data Services, Inc

  • Developed conversational flows for chatbots
  • Created data pipelining to using the chat conversations to train the AI Bot
Read

Projects

| NLP, Machine learning, Deep learning |

Multi-label text classification with BERT

Text classification is a common task in Natural Languge Processing (NLP), in this research I compared BERT, a popular Transformer model and other classical models on scientific contents.

| Analytics, prediction modeling |

Theft crime prediction based on spatial and temporal crime hotpots

This study aims to find the spatial and temporal theft hotspots in Taipei city by analyzing real- world theft datasets through a statistical analysis and the utility of hotspot mapping.

| NLP, Machine learning, Deep learning |

Identify duplicated question pairs for Quora

Can we identify the intent of a question even if they are phrase differently? In this project, we trained more than 300k question pairs from quora and identify if they are duplicated.

Get in Touch

Contact

kiraliang1004@hotmail.com

Amsterdam, The Netherlands