Data Analytics | Business Intelligence | Artificial Intelligence
Data and Business Intelligence Analyst with 5+ years of experience delivering actionable insights, building scalable dashboards (Power BI, Metabase, Looker, Looker Studio), and automating reporting workflows (Airflow). Proficient in SQL (BigQuery, PostgreSQL), Python, and advanced analytics, with a strong foundation in statistical methods and machine learning.
Experienced in partnering with cross-functional teams and stakeholders across Southeast Asia regions to drive strategic initiatives and digital transformation.
Currently working and learning on LLM and Agentic AI systems as personal projects, exploring the cutting-edge intersection of artificial intelligence and practical business applications.
A complete tutorial on building intelligent shopping assistants using semantic search, vector databases, and agentic AI. Covers Qdrant, OpenAI Agents SDK, and Streamlit implementation.
A practical exploration of how guardrails safeguard multi-agent systems in Python using OpenAI Agents SDK, Streamlit, and Pydantic.
Explore the handoff and agents-as-tools patterns, their use cases, and how to customize them using OpenAI Agents SDK and Streamlit.
A practical, beginner‑friendly guide to building an AI weather assistant with Python, OpenAI Agents SDK, API tools, and Streamlit.
A comprehensive guide on how to extract and explore odds ratios from a Logistic Regression model using Python and Statsmodels with examples.
Understanding, calculating, visualizing, and interpreting odds ratios and their confidence intervals with practical examples in Python.
A step-by-step guide to creating and interpreting XmR charts for effective data analysis and distinguishing real signals from random noise.
A comprehensive guide to using Auto ARIMA for forecasting multiple time series data, covering practical applications for job opening trends and business forecasting with Python implementation.
Complete implementation of search-driven agentic AI assistant for e-commerce using Qdrant vector database, OpenAI Agents SDK, and Streamlit. Features semantic search, filtering, and conversational AI.
View RepositoryFirst API-calling agent built with OpenAI Agents SDK. Demonstrates weather data retrieval, API integration, and conversational AI interface using Streamlit.
View RepositoryAdvanced multi-agent collaboration patterns including handoff mechanisms, agents-as-tools, and guardrails implementation. Comprehensive examples with OpenAI Agents SDK.
View RepositoryMachine learning model to predict employee turnover using advanced feature engineering, ensemble methods, and comprehensive data analysis with interpretability features.
View RepositoryProduction-ready Apache Airflow deployment using Docker containers. Includes DAG examples, custom operators, and best practices for workflow orchestration and data pipeline automation.
View Repository