About
12+ years of experience with 10 years in physical asset management, deals mostly with business analytics, business intelligence, data science, and machine learning. Has completed jobs in the field of time series forecasting, failure prediction, risk analysis, classification, anomalies detection, clustering, and sentiment analysis. Skilled in Python, SQL, and Google Cloud Platform. Mastered fundamental python libraries such as Pandas, Numpy, Matplotlib, Seaborn, Plotly, Dash, Scikit Learn, Lightgbm; deep learning libraries such as Tensorflow, Keras, and Pytorch; database management & ETL libraries for Python such as SQLAlchemy, Psycopg2, SQLite, and Airflow; Vertex AI, BigQuery and Looker; also HTML, CSS, and Javascript for UI development in business intelligence, and management information system. Gained some dashboard development experience in Tableau, and Power BI, though not extensively compared to Python and Plotly Dash. Currently working on a smart metering project for energy transmission. Responsible for ETL, data exploration, modeling, BI development, and model deployment. Contribute to improving the client's financial performance by 18% (as of the end of Q2 2022). Familiar with a few management system standards such as ISO55001, ISO9001, ISO14001, ISO45001, and ISO 27001. Had an opportunity to be part of the team that become one of the early adopters of ISO 55001 both as a system implementer and internal auditor. As an independent business analytics consultant, completed over 50 projects since 2020.