I am a Data Scientist and AI Engineer with over 5 years of experience in designing and implementing ML models, NLP applications, and chatbots. I am proficient in programming languages like Python, Java, Scala, and R, as well as technologies like TensorFlow, PyTorch, Keras, NLTK, and spaCy. I am a passion for staying up to date with the latest advancements in AI and using technology to solve real-world problems.
Experience
Grab
Jan 2021 – May 2023
Remote
Data Scientist | AI Engineer
Designed and implemented machine learning models to predict customer churn, optimizing model accuracy by 10% through feature engineering and hyperparameter tuning, resulting in $2 million in additional revenue per year.
Developed NLP applications for sentiment analysis, topic modeling, and entity recognition using tools such as NLTK and spaCy, increasing customer engagement by 25%.
Created chatbots for customer service and sales using Dialogflow and the Google Cloud Platform, resulting in a 20% increase in customer engagement and reducing customer service response times by 50%.
Built and maintained databases using SQL and NoSQL technologies such as MySQL and MongoDB, enabling efficient data storage and analysis of large datasets (>1TB).
Managed big data using Hadoop and Spark, performing data cleaning, transformation, and analysis on large datasets, resulting in $1 million in cost savings.
Hysan Development
Jun 2018 – Dec 2020
Hong Kong
Data Scientist
Designed and implemented predictive models for customer behavior using machine learning techniques, achieving a 90% accuracy rate.
Analyzed large datasets using SQL and NoSQL databases such as MySQL and MongoDB, generating insights that led to a 10% increase in revenue.
Developed NLP applications for sentiment analysis and entity recognition, reducing manual analysis time by 80%.
A.S. Watson Group
Jun 2016 – May 2018
Hong Kong
Data Analyst
Generated reports using SQL queries and Excel, analyzing and summarizing data on customer demographics and sales trends, resulting in a 15% improvement in marketing campaign effectiveness.
Designed and developed visualization dashboards in Tableau, presenting actionable insights to management, leading to a 25% reduction in costs.
Collaborated with marketing and sales teams to optimize advertising campaigns, resulting in a 15% increase in sales revenue.