Angela Lai King
Manager, Senior Data Scientist @ HKT
Hong Kong SAR
Hong Kong
Telecommunications
Amazon Web Services (AWS), Artificial Intelligence (AI), Hyper-personalization, Generative AI, Google Cloud Platform (GCP), Large Language Models (LLM), Project Management, Data Mining, Big Data, Data Analysis, Data Processing, Predictive Modeling, Natural Language Processing (NLP), Data Science, Analytics, Data Visualization, Analytical Skills, Extract, Transform, Load (ETL), Python, Java
Experience

Manager, Senior Data Scientist
Hong Kong SAR
- Lead of GenAI leveraging GCP, designing and deploying scalable AI driven solutions that drive cost savings and deliver actionable insights across HKT's call centers. - Collaborating with cross functional teams and business stakeholders to co-create GenAI solutions from ideation to deployment, aligning technology with business objectives to enhance operational efficiency. - Development of an innovative dashboard leveraging GenAI for automated case summarization, insights into call nature and sub-natures. Enhanced staff performance tracking against key metrics, driving significant operational efficiencies and achieving substantial cost savings. - End to end project management, GenAI development, with a strong focus on large language models. - Enabling client audience profile targeting and segmentation, empowering data driven decision making.

Principal Data Scientist
The lead within CVM prepaid and postpaid in delivering real time hyperpersonalised recommendations. Leading a diverse team of junior and senior data scientists while overseeing the execution of technical deliverables. Working with commercial product owners to source pain points and requirements across various business verticals, to help address their problems through designing and integrating machine learning solutions.

Senior Data Scientist
Understanding and implementation of various mathematical and statistical frameworks, including Linear Regression, Random Forest, Gradient Boosting, K-means clustering and Time-Series Forecasting. Working with Big Data MLEs to productionise ETL pipelines. Writing and testing code using Python and Java, including working with Big Data tools and Frameworks like Hadoop, Spark, Cassandra and Mongo.
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