About
Yogi Cahyono’s a Data Scientist at TikTok Shop South East Asia, one of the biggest e-commerce platforms in SEA.
I am here to share part of my years of work in data science. My day-to-day job is to support business decisions by any means, starting from ad-hoc to post-experimentation analysis, tracker implementation, dashboarding, and with an additional capability of delivering machine learning solutions.
ML Projects
- Product Selection to Maximise High LTV Users Activation in E-Commerce (2025)
- Utilising LLM API to Predict Customer Gender, Income Level, and Complaint Category (2024)
- The Predictive Power of Alternative ESG Scores for Stock Volatility in FTSE 100 Index (2023)
- Filling Missing Controversy Score of Refinitiv (LSEG Product) by using Ensemble Method (2023) · GitHub · Refinitiv 1st Position 👑
- Automated Marketing Campaign Workflow using Self Service Analytics with Selection Filter using Random Forest (2021)
- Built Machine Learning Model to Target Specific Users to Change Their Customer Spending Behaviour using MLP (2021)
- K-means Clustering Model to Identify Fraudulent Drivers (2019)
- How to become Top Earner in Airbnb? (2018) · Kaggle
- Churn Prediction of E-Commerce Customers using T-POT (2018)