E-commerce Seller Operations Optimization - Singapore
2022 - 2022
This project focuses on optimizing seller operations for e-commerce platforms such as Lazada, Shopee, and TikTok Shop. By consolidating metrics related to fulfillment, customer service, marketing, and sales into a centralized dashboard, the goal is to enhance efficiency, increase sales, and improve customer satisfaction through data-driven insights.
Delivered actionable insights, figures, and recommendations through dashboards, reports, and analysis in Sales, Operations, Supply Chains, and Customer Services.
Built ETL processes and data pipelines to support analytics and reporting needs.
Optimized system performance during ad hoc projects and e-commerce campaigns.
Implemented clustering algorithms for customer segmentation to inform targeted marketing strategies.
Utilized Natural Language Processing (NLP) to analyze customer reviews and feedback, informing product improvements and customer service strategies.
Applied machine learning models to optimize supply chain processes, reducing costs and improving efficiency.
Technologies: Airbyte for ETL, Airflow for workflow orchestration, PowerBI for data visualization, Grafana for monitoring, Redshift for cloud data warehousing, NoSQL, and PostgreSQL, Algorithms for product recommendation include collaborative filtering, content-based filtering, and matrix factorization (e.g., Singular Value Decomposition, SVD), which are commonly used in recommender systems