Ellen Pramana Email and Phone Number

At Tokopedia, I have worked on diverse projects across various fields, including developing recommendation systems for both Physical Goods (marketplace) and Digital Goods, as well as campaign targeting and advertising. Here are some key projects I have been involved in:- Led click prediction model development for push notifications, increasing CTR by 153% and CVR by 71%.- Enhanced audience targeting on third-party platforms, boosting ROAS by 16% and internal ads revenue by 20.22%.- Developed and integrated a new Homepage recommendation system, raising orders by 55%. Led the ads integration system, collaborated with several teams. - Conceptualized a deep learning-based campaign targeting approach, contributing to a 27.27% increase in orders.

- Developed a recommendation system predicting new categories users might purchase using FM and deep learning, which increased CTR by 9.4% and drive more conversion from new user. - Collaborated with other team member on several other projects such as building the deep learning model for next category prediction and tree based model for gender prediction

- Executed statistical analysis based on supply-demand and price elasticity concepts and experiments on optimizing ride-hailing pricing.- Developed a fraud detection model to identify potential fraudulent drivers.- Enhanced the Grabfood recommendation system by implementing a word2vec-based model to suggest similar food options.

Adskom is a digital advertising company. My work in Adskom is to do campaign optimization which include budget / bid optimization. By utilizing user behavioral data, I built a model to do campaign targeting and choosing the right audience for the right campaign.

I worked as a backend developer mostly using Ruby on rails. I am familiar with big data and data processing using various tools including Hadoop, MongoDB, Cassandra, HBase.