Saratorn Sawetsuttisirikoon, Developer in Bangkok, Thailand
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Saratorn Sawetsuttisirikoon

Verified Expert  in Engineering

Bio

Saratorn is a real solution provider using data analytics. He has worked on several data analytics and data science assignments for the past three years. Saratorn's notable projects include a product recommendation and recategorization for a retailer, credit scoring for a bank, and a coupon distribution optimizer for a food delivery platform.

Portfolio

LINE MAN Wongnai
SQL, Redash, Machine Learning, Data Analysis, Business Intelligence (BI)...
Siam Commercial Bank
Spark, SQL, Machine Learning
Sertis
SQL, Tableau, Machine Learning, Data Analysis

Experience

  • Machine Learning - 3 years
  • SQL - 3 years
  • Data Analytics - 3 years
  • Business Analysis - 3 years
  • Data Preparation - 3 years
  • Python - 3 years
  • Data Science - 3 years
  • Data Visualization - 3 years

Availability

Part-time

Preferred Environment

Python 3, SQL, Tableau, Slack, Apache Airflow, Jira, Confluence, Presto

The most amazing...

...thing I've developed is a machine learning model that can identify groups of users that would yield long-term profits for a food delivery platform in Thailand.

Work Experience

Strategy and Data Analytics Assistant Manager

2021 - PRESENT
LINE MAN Wongnai
  • Built an estimation system for customer lifetime value to improve budget allocations. Projected the future income from each customer, helping the marketing team better optimize budget allocation and target marketing actions to the right customers.
  • Built a machine learning model to identify group of users that would give profitable return on investment for coupon discount.
  • Provided customer insights to design a defensive plan for a new market entrant. Identified at-risk customers, determined the coupon packages' proper attributes, and presented the findings with data visualization.
  • Identified the primary factors and quantified the impact of each factor causing couriers to cancel orders. Hence, the operation team could prioritize their work and create relevant SOPs.
  • Created monitoring dashboards to track the merchants' and platform revenue uplifts and cannibalization effects after a new product launch. This allowed the operation team to fix problems before they caused the merchants to churn and lose trust.
  • Created analytic dashboards to identify the optimal penetration rate of the campaign, i.e., yielding the highest uplift to the company and merchants' satisfaction.
  • Conducted clustering and a data visualization of the customer journey to help the product development team understand how the users interact with the application.
Technologies: SQL, Redash, Machine Learning, Data Analysis, Business Intelligence (BI), Data Science

Data Scientist

2021 - 2021
Siam Commercial Bank
  • Built an underwriting process for a new loan product targeting customers with low income and very few banking activities using a machine learning model.
  • Explored the relationship between phone usage and delinquency to create new features for loan targeting.
  • Created a hashing process to share customer data with the partners.
Technologies: Spark, SQL, Machine Learning

Data Analyst

2019 - 2021
Sertis
  • Built a product recommendation system using a collaborative filtering algorithm to estimate sales of missing items across different branches of a retailer providing supporting information for the merchandise team.
  • Recategorized a product using graph network analysis to provide insights into user behaviors and product attributes to recategorize the SKUs.
  • Automated the data integration and analytics reports saving 16 person-hours per week.
Technologies: SQL, Tableau, Machine Learning, Data Analysis

Intern

2018 - 2018
Asia Plus Securities
  • Automated risk review reports of derivatives trading portfolios using VBA.
  • Prepared data and calculated value at risk (VaR) of derivatives trading portfolios using R.
  • Generated a portfolio performance attribution analysis report using VBA.
Technologies: R, Excel VBA, Excel 365, Derivatives

Experience

Coupon Distribution Optimizer for a Food Delivery Platform

It is a probabilistic derivation model estimating the food discount coupon impact on each customer. As the sole developer working on this project, I created the proof of concept, developed the model, conducted backtesting, deployed the model, and built the monitoring dashboard and parameters adjustment tool for the marketing team.

Education

2015 - 2019

Bachelor's Degree in Economics

Chulalongkorn University - Bangkok, Thailand

2018 - 2018

Exchange Program in Economics

Erasmus University College - Rotterdam, Netherlands

Skills

Libraries/APIs

Matplotlib, Pandas, Scikit-learn, PySpark, Google Sheets API

Tools

Seaborn, Apache Airflow, Google Sheets, Tableau, Redash, Slack, Jira, Confluence

Languages

Python, SQL, R, Excel VBA

Paradigms

Business Intelligence (BI)

Frameworks

Presto, Spark

Other

Data Analytics, Data Preparation, Exploratory Data Analysis, Data Science, Statistics, Data Visualization, Machine Learning, Data Mining, Business Analysis, Presentations, Forecasting, Data Analysis, Dashboards, Excel 365, Derivatives

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