Jakarta, Jakarta, Indonesia
Have work experiences in analytics & marketing research: research design, data collection, data visualization, statistical data analysis, predictive modeling, report writing and presentation. I am passionate about consumer insights, brand and advertising, data analysis, data science, data mining, applied statistics - how to understand and utilize data to solve problems. Also passionate in education/volunteer activities.
Lead and supervise 4 data scientists. Provide data science/advanced analytics approach to solve business/commercial problems. - use algorithms to better targeting for audience / products selection for campaigns, manage to boost RoAs by xx times - build seller risk machine learning algorithm to assess the risk of onboarding sellers. Currently being used in production ecosystem. - lead team to build fake/violation on intellectual property machine learning prediction
- build machine learning duplication prediction for data sanity improvement. The model is currently deployed in production ecosystem as part of seller onboarding process. Helps to reduce manual ops process by 80%. - working closely with fraud team to build rule/logic to mitigate the risk and minimize the loss of frauds in merchant ecosystem, both for food-pay services.
Working on analytics of Midtrans as part of Gojek
Working directly with the CEO and other senior executives in the organization to design and implement analytics and decision science solutions for strategic business areas including payments processing, fraud detection and fraud prevention. Develop and deploy machine learning model for credit card transactions, helped to prevent fraud activities by x mio USD, still being used in production
- Provided consulting services on statistical problems and softwares for students, faculty, and community in West Lafayette. - Provided data analysis, visualization, and recommendation for Purdue Extension Health and Human Sciences Office. The results were used to assist Purdue HHS measuring program effectiveness and developing program strategies in counties in Indiana. - Led and managed team for developing model-based prediction on housing sale prices in Tippecanoe County, IN. The models are used to assist Tippecanoe County Assessor’s Office in property tax appeal process in Lafayette, IN.
- Performed quantitative research in consumer research, especially in tobacco sector - Managed consumer research projects including proposal writing, questionnaire development, fieldwork setup & process monitoring, data analysis, and reporting - Designed data visualization in report, determined the statistical analysis and methods for data analysis, provided summary and recommendation - Maintained day-to-day communication with clients for the on-going research projects - Worked in team, also collaborated with other teams: Data Processing, Project Management Measurement Science, Retail, Consumer Panel, Media, and Qualitative team - Researched projects conducted including: consumer tracking research, new product launch, event evaluation, and brand activation research