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My love story with data has powered my career path thus strengthening my solutions offering across various verticals. It began with my different degrees in operations research/industrial engineering where applied mathematics and advanced statistics were leveraged to solve logistics problems. Then my curiosity pushed me to research how artificial neural networks could solve efficiently scheduling problems, a work I pursued during my PhD back in 1997.
I leveraged that knowledge by developing optimizations solutions anchored in data for different global corporations such as Lego and Siemens. Then I developed a business intelligence solution paired with optimization engines which led me to author a patent which bears my name and names of my colleagues.
I moved after this to another vertical, REITs Real Investment Trust, to solve revenue management problems by leveraging data from supply and demand to determine mathematically the optimal price of apartments that maximizes the revenue of the whole asset. Then big data took hold of the market, I could not resist and dived into it by working with text data and developed my expertise in natural language processing where I developed solutions that would detect emerging topics and forecast where these topics will die to find white space of demand.
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