Kin Kim Lo Email & Phone Number

I have a combined degree in Mathematics and Statistics, and I have recently completed my learning in Data Science with Xccelerate. I am seeking new opportunities to develop my career in data science; and excited to apply my skills and knowledge in this field.Key Highlights of Background and Experience:Experience:Four years of total experience in the banking and insurance industry, including roles in customer service, risk management, and employee benefits. Technical Skills:． Knowledge in Statistics/Machine Learning/Deep Learning．Python, R, SQL, and reporting tool such as Tabuleu, PowerBi． Financial background of both banking and insurance industry.Soft Skills:． Communication Skills: Present complex financial concept/products to both technical and non-technical stakeholders.． Adaptability: The ability to quickly identify the advantages and disadvantages of our own product and the rivals' product.． Business Acumen: The ability to identify opportunities improving business processes, increase efficiency, and reduce costs.Highlights of the Data Projects with Xccelerate:1. Machine learning project: The detection of credit card fraud was achieved through the use of both random forest and logistic regression algorithms.2. Deep learning project: It is an image classification about chihuahuas vs muffins. The machine learning algorithm can be easily confused in the past. However, by applying the state-of-the-art Resnet50 model and transfer learning techniques, an impressive accuracy of 96.4% has been achieved.3. Power BI project: I utilized Power BI to perform a thorough data analysis of a customer dataset, uncovering the factors that contribute to the churn rate. From this analysis, I developed strategies to increase customer loyalty and retention.In addition, I also:．Keep up to the data science field by being an active learner of online learning websites such as Datacamp and Udemy. ．Stay up-to-date on financial markets by reading relevant news sources daily.