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Hello World

Ying is a Data Scientist with a passion to solve real-world business challenges with Machine Learning. She's always enthusiastic to gather new knowledge with positive thinking while running FOXFOX, fun-to-use learning platform, which aims to use Machine Learning techniques for product improvement.

Personal Details

Education

  • Prince of Songkla University, Hat Yai Campus Thailand (2014-2018)
    • Bachelor of Engineering in Computer Engineering, (1st Class Honours)

Languages

  • TOEIC score: 795

Skills

  • Coding with Python, SQL, Basic PySpark, Basic R, Basic Javascript
  • Experience with Jupyter Notebook/Lab, MySQL, Google Cloud Platform (BigQuery, BigQuery ML, Data Studio, Dataprep, Cloud Storage, Compute Engine), Amazon Web Services (S3, EMR)

Experience

  • Data Scientist at Wongnai Media (Oct 2018 - July 2020)
    • Propose concrete problem, solutions, and strategies to business challenges
    • Process structured and unstructured data such as images, review, search and user activities
    • Analyze large amounts of information to discover insights, trends, and patterns
    • Build predictive models and Machine Learning algorithms
    • Make a dashboard for tracking business KPI
    • Present information using data visualization techniques
    • Recruit Data Scientist both full-time and intern into the company
    • Coaching data scientist interns
  • Intern at KCapstone program, KASIKORNBANK (Jun-Jul 2018)
    • Create Cozi+ application prototypes, an application to collect membership cards, on mobile using React-Native for gathering feedback from users and pitching
    • Learn Design Thinking techniques and use in practice
  • Frontend Developer (intern) at Digithun (Jun-Jul 2017)

Project

  • Wongnai Image to Vector Representation (June 2020 - July 2020)
  • Wongnai Listing Ad Recommendation (Mar - Apr 2020)
    • Applying For You Recommendation System to find a ad restaurant that user might like
  • Wongnai GP Profit Forcasting (Mar - Apr 2020)
    • Predicting weekly estimated delivery sales for non-GP restaurant (delivery open but doesn't join GP), using multi-output regression
  • Wongnai Experiment About User Retention (Jan 2020 - Feb 2020)
    • Do an end-to-end process of experiments to find any factors that might significantly increase user retention, using statistics and hypothesis testing techniques
    • Work with business teams to find insights about user retention
  • BEM Number of MRT Users per Day Prediction (MVP) (Feb 2020)
    • Regression model predicting the number of MRT user per day that selected features, prepared data and trained on BigQueryML
  • Wongnai Restaurant's Deal Recommendation (Dec 2019)
    • Applying For You Recommendation System to find restaurant's deals that user might like
  • WongnaixLINE High Potential Restaurant for LINEMAN Delivery (Oct-Nov 2019)
    • Prepare data for targeting restaurants outside Bangkok that tend to have a high sales if they open a delivery
  • Wognai Analytics (Sep 2019 - Jan 2020)
    • Researching in data analytics system and design the data tracking specification
    • Processing and visualizing data collected in the system
  • Wongnai This Week For You (Aug-Oct 2019)
    • Dynamic Recommendation System built on the previous For You Recommendation System, personalized using user behavior and interaction data
  • Wongnai User Profile (Jul 2019)
    • Researching about charateristics of Wongnai's users in many dimension. based on user behavior and user interaction with the restaurant
  • Wongnai Trending Restaurant (Jun-Jul 2019)
    • Researching about trending restaurant using time series analysis with weighted moving average
  • Wongnai Dashboard for Tracking Search KPI (Apr-Jun 2019)
    • Realtime dashboard showing the metrics/KPI for Wongnai's search system, built on Google Bigquery and Data Studio
  • Wongnai Go or No-go Classification (Feb-Apr 2019)
    • Predicting whether the user decided to go to the restaurant or not, based on user behavior and user interaction with the restaurant, using Random Forest Regression
    • Studying about user's behavior when they were in the incentive program
  • Wongnai Text Menu Mapping (Dec 2018 - Jan 2019)
    • Researching about mapping the names of Thai foods that has different writing or spelling but the same meaning, using LDA topic modeling
  • Wongnai Image Classification (Oct-Dec 2018)
    • Classifying type of photos uploaded by users using Fastai

Certificates

  • The Fundamentals of Digital Marketing, Google Digital Garage (2021)
  • TensorFlow Developer Certificated by Google, See credential (Oct 2020)
  • Accomplished the Data Analyst and Data Scientist track at Datacamp, view my profile (2018)

Interests / Hobbies

  • Co-Founder of FoxFox, fun-to-use learning platform
  • Noob Learning's owner
  • Attending knowledge-sharing events and data-sciences-related courses
  • Writing a knowledge-sharing blogs

Trainer / Teaching Assistant / Speaker

Activities

  • Participated and funded by Strombreaker batch 2 (2019)
  • Participated in Edabler Workshop about education startup (2019)
  • Participated in LINE HACK (2018)
  • Participated in central regional TechJam Thailand 2018 (Data Squad) (2018)
  • Participated in Class & Workshop: What Business needs to know about Data Science by Coraline (2018)
  • Participated in National Software Contest 2018 (NSC20) (2018)
  • Participated in National Software Contest 2017 (NSC19) (2017)
  • Participated in Startup Thailand and Digital Thailand (2016)
  • First runner-up prize winner of Startup Hack at Phuket (2016)
  • Participated in ACM-ICPC (Programming contest) (2016)
  • Member of Pupasoft Lab and Tech Startup Club, Prince of Songkla University (2016-2018)