CORONATRACKER.com is a community-based project powered by over 460 volunteers from across the globe, ranging from data scientists, medical professionals, UI/UX designers, fullstack developers, to the general public.It acts as a portal for the public to keep track of the latest news development about the COVID-19, alongside collecting data for further analysis. All the contents are handpicked, filtered, and curated by volunteers to our best extent to ensure that sources are reliable with minimal hoaxes and fake news, in the best benefit of the public. Natural Language Processing (NLP) is used to analyze trending content and identify meaningful topics over various news sources and social media platforms prior to being verified by our team.CORONATRACKER.com also aims to gather data for in-depth analysis (e.g. time series to monitor the growth, spread of the virus) and localized news (e.g. news related to Malaysia, or KL only).The platform is vital for information consolidation, and all gathered information is open to use for the public.This is a 100% open source project, all information and publishable data are available on Github as well. Everyone is welcomed to contribute through our telegram channel.Our team of data scientists use OSEMN framework to collect, clean, explore, model, and run their own analysis. For ease of public understanding, it is presented using graphic visualizations and dashboards. Through the data obtained, we hope to build machine learning models very soon.We were inspired by the Coronavirus Outbreak Map by John Hopkins University that was very informative. We also recognised the difficulty to gather data for in-depth analysis through various other sources of scattered data on different news portals as well as in different languages.We aim to use technology and make information more accessible, gather talented people all around the world to win the fight!

We serve clients in US, Australia and Malaysia range from MNC, conglomerate government agencies, SMEs, and startups. The key roles include:• Design and architect ETL processes and data pipelines.• Processing, cleansing, and verifying the integrity of data used for analysis.• Selecting features, building and optimizing classifiers using machine learning techniques.• Data mining using state-of-the-art methods.• Extending company’s data with open sources tools of information when needed.• Enhancing data collection procedures to include information that is relevant for building analytic systems.• Conducting in-depth analysis and presenting results to stakeholders.• Creating automated anomaly detection systems and constant tracking of its performance.• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.• Assess the effectiveness and accuracy of new data sources and data gathering techniques.• Develop custom data models and algorithms to apply to data sets.• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.• Develop company A/B testing framework and test model quality.• Coordinate with different functional teams to implement models and monitor outcomes.• Develop processes and tools to monitor and analyze model performance and data accuracy.

Establishing company’s technical vision and leading all aspects of technology development, according to its strategic direction and growth objectives. Leading a team of young and energetic programmers, developing our app using Microsoft Azure and ASP.NET C#.

I tutored Bachelor degree students and Master students in the area of Emerging Technology, Web Design and Programming, Service Oriented Architecture, and received "Excellence in Teaching Award"

Building statistical models and machine learning tools to help news journalist and editors to identify topics that readers will potentially be interested.Projects:- News topic clustering and detection- Sentiment analysis- Editor Decision Support System (EDSS)

Working on real-world research in data visualization, machine learning, collaborative systems and programming languages, for scientific discovery, which translate to advances in the health, well-being ,and economic prosperity.

Managing computer labs, rolling out crucial updates. Assisting lecturers in delivering courses.