Gerald Tan Email & Phone Number

Singapore

Singapore

Singapore

• Productionised and maintained end-to-end location-based Division Autocomplete API Service utilising ElasticSearch and Flask (QPS: 20, P95 Latency: 15ms), expanding service into 2 countries
• Developed highlight feature for Division Autocomplete using ElasticSearch Fast Vector Highlighter, improving P95 latency from 100ms to 15ms

Singapore, Singapore

• Part of the (MAP) POI Search Team dealing with NLP analysis of Shopee user address over multiple countries - Indonesia, Vietnam, Malaysia,
• Engineered a Big Data ETL Pyspark pipeline conducting feature engineering for over 600m rows of messy data into a centralized database used in Shopee’s core services in Vietnam
• Designed an airflow process to automate manual reruns of ETL pipeline, saving 15 hours of work monthly
• Constructed complex ElasticSearch matching queries improving Geocoding accuracy from 91% to 96%
• Drove business decisions by conducting geospatial analysis using QGIS and KeplerGL

Singapore, Singapore

• Performed data collection and feature engineering to craft datasets for graph network visualisation & analysis with Gephi, Python & R

Singapore

• Coached weekly sessions to clarify students’ doubts on fundamentals of Business Analytics
• Performed grading of student assignments

Singapore, Singapore

• Built a Natural Language Processing (NLP) Web application scraping and visualising sentiment scores of news data from top 30 Nasdaq companies - communicating analytical insights to various audiences
• Employed React & Django with pre-trained Google Finbert, a pre-trained model designed to analyse sentiment of financial text

Singapore

• Developed an automated Java & Python pipeline for large graph visualisation using Gephi Java Toolkit and DataShader to monitor and measure trends across the Ethereum network
• Authored 2 analytical articles for marketing outreach on cryptocurrency hacks (Upbit Hack) and on growth of Stable Coins requiring business thinking, analytical insights and customer centric visualisations
• Pitched and garnered keen interest from 2 new clients globally (Monetary Authority of Singapore & Nexo)

Singapore

• Joint Authorship for Manuscript accepted into PLOS Computational Biology
• Conducted data cleaning, visualisation and analysis on multi-dimensional (American Gut Microbiome) abundance data with over 730 prediction variables to clean and process data
• Engineered an Expectation-Maximisation algorithm package to iteratively infer microbiome interactions from microbiome abundance and external perturbation data
• Designed and developed a simulation pipeline for model testing, attained an accuracy of up to 97%