Let’s Talk: Data Science
Start:September 21, 2018 2:30 pm
End:September 21, 2018 5:00 pm
Location:iTrain Malaysia @ KL Trillion
WHY DATA SCIENCE
For startups, data science is relevant as the CEO and CTO needs to be able to capture information from their core users at the earliest stage, to identify key features that users love, and address problems that hinder users from using their product.
For corporates, the huge volume of data exceeds the capability and capacity of their existing data management workflow, and data science will assist their engineers to revise and enhance their current data processing strategy.
WHO SHOULD ATTEND
Corporate crowd, technical specialists, those with programming background, those who are pursuing Industry 4.0 related initiatives, organisations with projects related to Industry 4.0 revolution.
DEMAND & OPPORTUNITY
According to The New York Times, data science “promises to revolutionize industries from business to government, health care to academia.” As data accumulates, organizations are hiring individuals with the expertise to find meaning in the numbers and drive positive business decisions based on what they learn. It is estimated that by 2018, 4 million to 5 million jobs in the United States will require data analysis skills, and a recent study from the McKinsey Global Institute found “a shortage of the analytical and managerial talent necessary to make the most of Big Data is a significant and pressing challenge (for the U.S.).” Based on the number of job openings, median base salary and career opportunities, Glassdoor has ranked data scientist as the “Best Job in America” for 2017 and beyond.
MEET YOUR SPEAKER
Fares Hasan | Data Scientist
Fares Hasan has many years of experience in related fields such as machine learning and others. Starting off as a machine learning engineer freelancer, he later branched into data science field in Sedania Innovator where he is involved in analysing traffic and user behavior for telecommunication clients.
He is certified by multiple universities which are Michigan University in Python Specialization and Applied Data Science with Python, John Hopkins University in Data Science Executive, and Wesleyan University in Data Management & Visualization.
While doing his degree in Artificial Intelligence at Multimedia University, he won the 2nd runner up in Multimedia University Data Analytics Hackathon. He has published many papers and researches, including Classification of Tuberculosis with SURF Spatial Pyramid, Classification of Tuberculosis Chest Radiographs using the Ensemble Method and Texture Classification Tuberculosis Chest Radiographs using the LBP and GLCM.