Founder and CEO DATA SEER
INDUSTRY: Data Science AGE: 30 SCHOOL: Macquarie university, bachelor in Actuarial Science; Macquarie university, bachelor of commerce in Finance; Australian National university, Master of Statistics I started with a laptop, in a coffee shop, at the age of 26. i had no idea what i was doing. i just knew that i wanted to start a business. i knew that i had skills in Math and statistics. i started a website stating that i was here to solve data science problems. Data Science is the intersection of three key skills: statistics, coding and business domain expertise. For example, take a company that advertises through traditional media like radio and billboards. how does one decide which media is performing? Statistics. So we do Marketing-mix modeling, where we apply statistics for marketing budget-allocation. you do the analysis first then you come up with marketing recommendations. Data Seer in now four years old and we process billions of digital hits to websites every month. There’s a massive amount of information produced on social media every second. The challenge for companies is to monitor that data and act on it accordingly, fast. That is where Data Science comes in. To be a data scientist, you need a double degree in computer science and statistics. And when you graduate, you need to go into a business and actually solve business problems using the coding and statistics. The demand for these skills is extremely high in the Philippines. but with Data Seer, we can hire fresh graduates with no double degrees; we help them grow. we pay our graduates P25,000 a month. After five years, they get to be paid P100,000, if they’re good. We train people on data analytics. we typically have about 30 people in a class, coming from various companies. They send their people to learn these skills because they are so in-demand. What we try to teach people is how not to become obsolete. Take a look at the call center industry. it went from 200,000 workers a decade ago to 1.2 million currently. without the call center industry those people would not be earning P20,000-P40,000 a month. Now we have a middle-class. but because of machine learning and artificial intelligence, all 1.2 million of those workers are going to be obsolete in ten years. They’re going to be replaced by chat-bots and voices run by a machine that answer calls. So what we do is help people learn skills that will enable them to play defense in a new digital economy.