* Experienced and self-motivated data scientist with a history of working on a variety of areas including Geospatial Data Analytics, Building Energy Simulations and Prediction, and Construction Time Series Analytics. * Highly interested in applying state-of-the-art machine learning and deep learning techniques to real-world problems. * Profound knowledge and hands-on experience in implementing supervised machine learning algorithms, such as Neural Networks and Tree-based models. * Highly proficient in Python, R, and SQL, data manipulation, inferential statistics, statistical model building, and machine learning model building. * Exceptionally dedicated professional with keen interpersonal, communication, and organizational skills.

Highlights:

• Construction
• Forecast
• Transportation
• Asset Management
• Data Mining
• Forecasting
• Management
• Mining
• Pattern Recognition
• Research