We describe several use cases of using data science in fintech companies by applying multiple machine learning algorithms. We have successfully reduced the operational and promotional cost while increasing customer engagement and the corporation revenue of the company.
Key Takeaways
- Customer personalization
- Intention prediction
- Dynamic pricing
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Bio
Quang-Vinh Dang | Head of Data | DatVietVAC | Vietnam
Vinh is a highly skilled data scientist with a PhD in Computer Science from Université de Lorraine, France. With over 12 years of experience, he has specialized in fintech for the past 6 years. Vinh has a successful track record of developing and implementing impactful data science projects in various industries. He has authored more than 40 scientific papers in reputable journals, showcasing his expertise and thought leadership. Vinh’s expertise lies in complex algorithms, machine learning techniques, and statistical modeling. His passion for data science has driven him to push the boundaries of innovation and bridge the gap between academia and industry. With a deep understanding of the field, Vinh has made significant contributions to the financial technology sector. His work has revolutionized the way businesses leverage data, delivering valuable insights and driving success. Vinh’s dedication, academic achievements, and industry experience make him a highly sought-after data scientist in the fintech domain.
Stage M2_2024
Quang-Vinh Dang | Head of Data | DatVietVAC | Vietnam