Well-qualified Data Scientist experienced working with vast data sets to break down information, gather relevant points and solve advanced business problems. Skilled in predictive modeling, data mining and hypothetical testing. Offering 8+ years of experience in improving engineering and business operations.
● Collaborate with business stakeholders to understand their business problem at the highest level and create hypotheses to attain feasible solutions.
● Mine vast amounts of data for useful insights and communicate important findings to the business and IT leaders.
● Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities.
● Develop data science POCs, ensuring it’s aligned with forwarding the company’s longer-term strategic objectives. Analyse datasets and explore it to develop predictive ML models in python to improve business decision making.
● Prepare reports and dashboards for executive leadership that effectively communicate trends and predictions.
● Create appropriate documentation that allows stakeholders to understand the steps of the data analysis process.
● Define product use case and create user story requirements documentation and wireframes for DEV team.
● Collaborate with Technical and Marketing team to review product features and functionalities.
● Incorporated machine learning algorithms for predictive & prescriptive analysis to solve optimization problems.
● Identified opportunities for optimization and forecasting in multi-physics systems in various domains.
● Established direct lines of communication with professors and supervisory staff and communicated necessary information where applicable.
● Edited research papers and provided group input in compilation of large-scale projects.
● Authored professional scientific papers for publishing in peer-reviewed journals.
● Supervised a multi-disciplinary research group, comprising graduate students and researchers.
● Analyzed breakdown data to improve the efficiency and performance of machines in the production line.
● Developed a computerized breakdown maintenance system in SAP
● Verified inventory counts remained within monthly tolerance levels and compiled financial data in compliance with budget.
Computational modeling
undefinedNTU Research Scholarship 2012
Conferred by “MOE Singapore” to pursue PhD for a period of 4 years incl. academic fees and stipend.
Best Technical Paper Award 2016
At “World Congress on Momentum, Heat & Mass Transfer” 2016, Prague, Czech Republic.
Foreign Youth Talent Award 2018
Conferred by the “People's Republic of China” government through SJTU.
Award amount: 230,000 Yuan per year, for a period of 2 years.
Peer Review Journals
International Conference Proceedings