MSc in Data Science and Business Analytics

Malaysia

Bachelor of Computer Science

Indonesia

Data Scientist

Client: Hong Leong Bank

• Developed and implemented machine learning models, including ensemble methods like XGBoost and Random Forest, to predict customer likelihood of responding to marketing campaigns. This resulted in a 10% increase in response rates and contributed to more effective campaign targeting.
• Spearheaded MLOps initiatives, developing pipelines, tools, and automations to ensure efficient and scalable machine learning workflows. Established best practices and standard operating procedures for consistency. Leveraged MLflow for experiment tracking and model versioning, achieving 51% auto-retraining and generating annual cost savings of RM219K.
• Provided training and support to 6 team members on MLOps processes and methodologies, enabling them to adopt and implement these practices effectively.
• Collaborated with cross-functional teams, including marketing and campaign management, to integrate data-driven solutions and align them with business goals. Developed a personalized product recommendation engine based on customer segmentation, leading to improved customer satisfaction and product alignment.
• Analyzed complex datasets and applied a range of analytical techniques, including customer segmentation, to derive actionable insights for strategic decision-making and campaign optimization. This involved identifying key customer groups based on demographics, behavior, and product preferences, leading to more effective marketing campaigns and personalized customer interactions.
• Utilized prompt engineering with Gemini to automate data analysis processes, improving accuracy and reducing processing time. This involved developing prompts that enabled Gemini to generate reports on customer behavior and campaign performance from various data sources, including CRM data.

Data Scientist

• Built and deployed machine learning models, such as time series forecasting and classification algorithms, to improve business decision-making. Applied Google Cloud ML tools to optimize model performance and provide actionable insights for strategic planning.
• Designed and implemented interactive Tableau dashboards for clients across various industries to visualize core business KPIs, including sales performance, inventory levels, and customer satisfaction metrics. These dashboards provided real-time insights to stakeholders and resulted in significant time savings by automating manual reporting processes.
• Mentored 5 data team members to acquire Google Cloud Machine Learning certification, providing guidance and support that contributed to a 50% increase in their skill set over a three-month period.
• Facilitated collaboration between stakeholders, including sales and marketing teams, to develop and investigate solutions, ensuring alignment on project goals and requirements. This optimized project success rates by 40%.
• Extracted and organized data from 2 e-commerce websites using web scraping techniques, cutting labor costs by 25%. Developed web scraping scripts using Python and Beautiful Soup to extract product information, pricing data, and customer reviews, providing valuable data for analysis and decision-making.
• Collaborated with management to create 3 interactive dashboards analyzing marketing performance, tracking key metrics like website traffic and conversion rates. These dashboards provided insights that led to optimized marketing spend and a 35% increase in revenue growth.

Data Analyst

• Analyzed and monitored structured data across 7 departments, ensuring 90% accuracy in transforming raw data into actionable insights. Analyzed sales data, customer demographics, and financial records to identify trends and patterns, and provided reports to department heads to support data-driven decision-making.
• Acquired deep knowledge of Microsoft SQL Server during the report development process, automating the deployment of 35 new reports. Developed SQL queries to extract, aggregate, and transform data for automated report generation, improving efficiency and reducing manual effort.
• Developed a Python-based reporting app that automated report generation and distribution, using libraries like Pandas to extract data, perform calculations, generate visualizations, and email reports to stakeholders. This automation streamlined the reporting process and resulted in an 80% increase in reporting speed.

CADS Sunrise Award - Top Data Scientist in ASEAN