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

• Mobile: (+66) 83-590-6069
• Email: m.treerungroj@gmail.com
• Linkedin: Manusaporn Treerungroj
• Blog: @mtreerungroj

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)
  • Building leaderboard and quiz management system for Quiz Chatbot using ReactJS and Firebase Realtime Database.

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

• Trainer at Noob Learning (2019 - present)
  • Basic Python Batch 1, 2, 3, 4 and 5
  • Learn SQL with BigQuery and Data Studio Batch 1 and 2
  • Data Wrangling with Dataprep & BigQuery Batch 1, 2 and 3
  • Prediction with BigQuery ML Batch 1 and 2
  • KBTGxNL - Hello COVID19 Data เริ่มมเรียนรู้ Data Sciences จากข้อมูลไวรัส 5 คอร์ส
  • NLxGoogleaholic - Play with Machine learning by Google Sheets & BigQuery & Data Studio
• Speaker on การสร้าง Community ทำไปทำไมและต้องทำอย่างไรให้ดี at KBTG Clubhouse (2021)
• Speaker on Low-code ML with BigQuery for noob at Data Talk Chill 3 (2021)
• Speaker on Getting started with BigQuery ML at GDG Cloud Bangkok devfest 2020, blog (Nov 2020)
• Co-teacher for Machine Learning for Everyone program at SIAMTECH (Aug-Sep 2020)
• Speaker on Data Sciences in Wongnai at ECON, CU (2020)
• Guest at หมีเรื่องมาเล่า ep.34 สิ่งที่ได้เรียนรู้จากการเป็น Data Scientist มา 1 ปี (2020)
• Speaker on Data Sciences in Wongnai at KMUTT (2019)
• Teaching Assistant for Data Science for Everyone at Wongnai Media (2019)
• Trainer for Basic Statistics at Wongnai Media (2019)
• Speaker on Data Sciences Project in Wongnai’s Townhall Q2 at Wongnai Media (2019)
• Teaching Assistant for Intro to R Programming and Python Programming at Datarockie (2018)
• Teaching Assistant for Java Programming Language Fundamentals at Prince of Songkla University (2017)
• Teaching Assistant for Intro to C Programming language at Prince of Songkla University (2015-2017)

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)