- Work with cross-functional team(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard. - VisionOne customers engagement score - the metrics can help fields to target the customers who are likely SOC/SOC-like profile customers and have frequently engaged with the VisionOne for their operations. - Product-led growth - provide metrics to help teams check the overview of the VisionOne trial customers experience and conversion rate with their app engagement/behaviors analysis. - Cross app data tracking and user journey analysis. - Potential SOC customers tagging - use customer information to tag potential SOC-Like customers from the TrendMicro existing customer base. - Threat intelligence APP usage analysis - app usage tree view is designed to let users be able to easily get customer’s usage data.

- Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards. - Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis. - Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers. - Developing automated web crawler on MMA website to collect ETF, fund, bond information. - Integrate user's transaction data, online behavior data, interest tags to auto labeling MMA customers by using statistical methods and machine learning methods. - Personalized Recommendation System on Official Website.

- Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performance to assist the international marketing team in developing pricing solutions. This project is to drive greater TVoD usage and provide recommendations to enhance the business function. - Indonesia competitor analysis - Forecasting movie search volume - Assist with filtering the popular movie by using pytrends to track the movie keywords search volume, predict movies' search volume by using LSTM. - Lover migration analysis - Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the marketing team. Our team assist with filtering potential paying audience from 400,000 users on Catchplay. - CATCHPLAY Recommendation System

- Demand Categorization and Forecasting in Semiconductor Components Supply Chain - Semiconductor distributor need to make specific demand forecasting by item as critical input of inventory control and ordering strategy. Accurate demand forecast needs strict supply chain information and market analysis. However, most companies in semiconductor supply chain are not equipped with demand information sharing system between upstream and downstream. In this project, thousands of product parts are classified and forecast by competent staff based on their domain knowledge and working experience. To fill in this gap, we aims to propose a demand categorization and forecasting approach to support flexible decisions in supply chain management. - Optimizing Manufacturing Parameters of Wire Bonding Process in IC Packaging Industry - In the wire bonding process, different setting value of manufacturing parameters affect the quality of the solder joints and the speed of wire bonding significantly. And when a new product is introduced, it is difficult to quickly obtain effective parameters simply by relying on the experience of the engineers. The project aims to help the IC packaging factories to increase production capacity by reducing the number of downtimes and speeding up the wire bonding time. - Probe Card Electrical Quality Enhancement in Advanced Semiconductor Test Industry - In order to ensure the electrical quality of the probe card transmission path, in this project, we develops an automated inspection system which is able to reduce the error and time consuming from manual operation. Measurement System Analysis (MSA) ensures the electrical measurement quality of the equipment and meanwhile, collects and transfers those measurement results to be a big database from comprehensive electrical detection for key materials. - Development- Change Point Analysis