Singapore, Singapore
GIS Analyst and Artificial Intelligence Engineer (CPO Price Prediction) with 2 years of experience. Personally interested in financial forecasting and modelling - looking to go into investment banking.
Crude Palm Oil (CPO) Price Prediction Modelling • Constructed automation workflow for financial data (Bloomberg) and financial news data scraping for multiple commodities related to Crude Palm Oil (CPO). • Performed sentiment analysis of daily CPO-related news using FinBert. • Built regressor models with ElasticNet (SKLearn), Arima and LSTNet (PyTorch) for CPO future prices forecasting up to 6 months, based on financial data, sentiment analysis, oil palm trade statistics, oil palm yield/production data, and weather conditions. • Presented model feature results with Sankey Plot programmed on RStudio. • Managed client relationships, a Malaysian Plantation, for product review and support within joint-commercialisation agreement.
● Manipulated high-resolution DS-EO satellite imagery in ArcGIS Pro to produce nutrient concentration maps for nutrient deficiency data adapted from existing scientific research. ● Compiled a detailed product roadmap to launch Variable Rate Fertilizing (VRF) using refined remotesensing based precise nutrient concentration map, improving efficiency of fertilization, reducing fertilizer costs. ● Recreated boundary map of various subplots of an 8,000-ha palm oil plantation using ArcGIS Pro for integration into a plantation management mobile app. ● Performed tree counting based on deep neural network by using high spatial-resolution remote sensing data on eCognition algorithm. ● Flew to Sarawak, Malaysia to perform site assessment test of LORA base station network reach to enable data connectivity for sensors on plantations with limited internet access. ● Curated email marketing campaign to market Beco Ventures’ suite of products and services to over 26,000 palm oil plantations located in Malaysia and Indonesia using Zoho Campaign. ● Job Rotation: Seconded to software development team to assist with entry level HTML, CSS and Python coding.
GIS Product/Service Development ● Constructed orthomosaic maps on ArcGIS using compiled drone imagery. ● Researched on best practices for large scale satellite imagery interpretation for plantation health monitoring. ● Developed automation model for the calibration and manipulation of THEOS-2 (2m resolution) and DS-EO (50cm resolution) satellite imagery with SAGA GIS and Orfeo Toolbox processing tool extension, for performing of geospatial analyses. ● Generated vegetation index insights such as NDVI, NDMI, and Chlorophyll Index (CI) on ArcGIS using satellite imagery, improving identification speed of problem vegetation areas to instantaneous. ● Generated topographic surveying insights using DEM datasets, Bathymetry Maps and Topographic Wetness Index (TWI) derived from satellite imagery for drainage and accumulation patterns of precipitation on ArcGIS, allowing plantation management to effectively plan future plot arrangement for water flow optimization. Web GIS Development Exposure ● Front-end: HTML, CSS ● Back-end: Python, ArcPy