Part of Proofpoint Intelligent Classification and Protection (PICP) where we help organisations modernise and enhance their data security through AI based technologies.- Build and maintain an API connector layer to standardise data ingestion from multiple 3rd party data sources (eg Microsoft SharePoint, Google Drive) for ML and Analytics use cases- Scaling data pipeline via migration of existing codebase to Spark, improving time to completion from days to hours and increasing processable data volume by 7X- Reduced Huggingface model inference time on CPU by 70% using Ray

Utilized various techniques (e.g. simulations, regression, clustering) to drive product and business decisions, focusing on Geospatial related experiences (ETA, Routing, Navigation, Map, and Imagery data collection). - Collaborated with cross-functional teams to scope problems, define success metrics and conduct AB experiments to launch >10 products.- Instrumented >100 clickstream events, built and maintained >40 scalable data pipelines using spark and visualising results/metrics on >20 Tableau dashboards to enable teams in product planning and metrics monitoring.

- Mentored 7 classes of 45 students each for 8 sessions, teaching them Introduction to Python and Data Sciences (Data Processing using pandas, Visualisation, Machine Learning).- Worked in a team of 3 to research and develop course materials.Courses Taught:- DS101: Introduction to Python Programming- DS102: Data Analytics with Python

Attached to PCS Security Pte LtdConducted extensive research on Social Media using Python and presenting findings to support the department's plan.- Preprocessed texts using NLTK and Spacy to perform Topic Modeling using Gensim, visualising it in pyLDAvis.- Explored tweets over time such as extracting out growing hashtags leading up to specific events.- Analysed the sentiments of tweets using NLTK, understanding the common words used in the positive/negative sentiments.- Developed training materials to give a brief introduction to Data Science and Machine Learning to the division.- Developed basic Linux tutorial guide for staffs to learn.

The SAS BIA Program is IMDA's Company-Led Training (CLT) initiative to recruit and train fresh professionals in Business Intelligence and Analytics.Certification:SAS Certified Base Programmer for SAS 9SAS Certified Big Data Professional Using SAS 9SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 Completed training include: SAS Foundation & Administrative Modules: SAS Enterprise Guide, SAS Base Programming Essential and Advanced Techniques, SAS Macro, SAS SQLSAS Big Data management & Cleansing: Introduction to SAS & Hadoop, DS2 Programming Essentials with Hadoop, Hadoop Data Management with Hive, Pig and SAS, SAS In-Memory Statistics, SAS Data Integration StudioSAS Data Mining & Analytics: SAS Visual Analytics, Introduction to Statistic, SAS Enterprise Miner, Text Analytics Using SAS Text Miner,Building models with SAS contextual Analysis

In a team of 6, developed a training resource management platform using ReactJS.

- Spearheaded in a project to automate sorting processes, improving sorting accuracy to more than 97%, decreasing sorting time by 2 hours- Created a UI/UX prototype for Roadbull’s career page using Axure RP- Conducted 3 1-hour Excel training workshop for 15 fulltime employees to increase their efficiency in processing data

- Developed and maintained mobile responsive Tumblr and WordPress sites for clients.- Documented an end-to-end user guide on posting blogs in WordPress.