ISAAC REYES

Founder and CEO DATA SEER

FHM (Philippines) - - Pulse -

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.

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