Initiate data science capabilities with other stakeholders, identify opportunities for business improvement, and develop analytics solutions and recommendations.

Managing the data science team, planning projects, building analytics models and delivering insights related to the digital services of Samsung Indonesia. Projects :NLP - Sentiment Analysis : Classify whether customer is happy with Samsung product based on social media comment.Samsung Local App : Profiling Samsung app users, create churn prediction, create analytical model to boost growth.Anomaly Detection : Identifying unexpected items or events in time time series data/logsTech stack : Python, Spacy, RasaNLU, ElasticSearch, Flurry, Pytorch

Store sales prediction : Analyze Samsung sales on store level, predict store's next week sales.Device sales prediction : Analyze Samsung sales per device (national level), predict device's next 8 weeks sales.Tech stack : Python, ARIMA, ES, XGboost, LGBM, RNN-LSTM, Airflow, Metabase

Developing SChampion, platform to monitor Samsung mobile sales in Indonesia. Create report and analyze sales based on region and device type. Calculate incentive and give reward to boost sales.Tech stack : Java, postgreSQL, Javascript, Typescript, React

Teaching math, calculus and physics to TPB (ITB new undergraduate) students within a group of three to five.

ITB Insight is a movement that encouraged science and technology. In November 2015 we organized 2nd ITB Insight Festival to promote science and technology. An art, science, and technology festival, stands on educating people about the essentials in technology in a fun, creative, and innovative way.

Developing Performance and Information Monitoring System (PIMS) at PLTP Kamojang. A realtime monitoring system based on Exaquantum OPC.