National University of Singapore

We are looking for talented Data Scientists in JKT

Skills: Data Analysis · MLflow · Airflow · SQL · Machine Learning · Credit Scoring · Python · Google Cloud Platform (GCP) · Data Science · A/B Testing

GoTo Financial

Data Science Manager

GOJEK is an Indonesian-owned and runs technology startup that specializes in ride-hailing, logistics and digital payments.

Develops Data Science solutions for GOJEK's suite of financial services products, which includes PayLater (users), Swadaya (drivers), and Pinjaman Modal Usaha (merchants).

Head of Risk Data Science

Data Science Lead

Data Scientist

-- Strong data science solutioning, modelling and execution across a substantial breadth of areas, including spatial analysis, survey analytics, marketing analytics, finance analytics, and forecasting.
-- Successfully upsold additional data science use cases to a client securing a billable project extension of 2 months. 
-- Renewed clients' interests and confidence to proceed with use cases refined based on excellent job of understanding the clients' needs, evaluating the data and designing a robust and feasible solution, securing a billable 4-month project for a team of 3.  
-- Independently closed survey result re-classification use case by leveraging various machine learning techniques such as ANN, gradient boosting, random forests.
-- Promote the importance and power of analytics and perform knowledge transfer to the clients to promote the use of analytics in their day-to-day job, enabling them to self-help in analytical projects
-- Research best practices in analytics related to clients’ space and keep abreast with state-of-the-art and upcoming technologies in analytics. 
-- Implementing design thinking, agile ways of working and human-centred approach in consulting; driving breakthrough thinking, solving right problem.

Accenture

-- Statistical and Big Data analysis over massive and real-time datasets for strategic planning and operational efficiency
Implemented fault signature profiling and Anomaly Detection algorithm to identify train disruptions. Predictions helped the project team prioritise preventive maintenance
-- Geospatial and temporal analysis
Implemented Geostatistical analysis such as kriging to interpolate rainfall and strata profile. Rainfall interpolation allowed organization to better understand traffic flow and transportation demand during adverse weather conditions. Methodology also used to build 3-dimensional soil strata profile for tunnel construction planning
-- Presented results of complex analyses (Kriging, t-SNE Dimensionality Reduction, Deep Learning Anomaly Detection) to non-technical senior management by utilising technologies such as Tableau, Jupyter Notebook and Power Point

Land Transport Authority (LTA) Singapore

Data Analyst

Constructed risk management strategies & estimated risk exposure through credit risk modeling

Industrial and Commercial Bank of China

Management Intern

Designed statistical measurements to quantify success and public acceptability of key projects by SKM; (the methodology is still being used in the company)
Managed several promotional events to raise public awareness such as Cheer-O-Mania 2013

Hailey Hou