M Anggoro is a data science researcher and practitioner with a decade of experience translating analytics and machine learning into measurable business outcomes across telecommunications, consumer goods, and international organizations. He has led and mentored data teams, driven cross-functional initiatives, and built automated solutions in roles from AVP at Indosat Ooredoo to data positions at Unilever and Stream Intelligence. Now based in New York, he’s combining Columbia’s Applied Analytics training with research work at the United Nations and Columbia’s analytics group, bridging academic rigor and operational impact. Skilled in Python, SQL, Power BI, cloud technologies and computer vision, he brings a consultant’s product mindset to complex data problems. An understated strength is his consistency: a steady progression from research assistant to senior data leader reflects both technical depth and repeatable delivery at scale.
10 years of coding experience
10 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Institut Pertanian Bogor (IPB)
Nanodegree, Deep Learning, Computer Vision, Nanodegree, Deep Learning, Computer Vision at Udacity
Master of Science - MS, Applied Analytics, Master of Science - MS, Applied Analytics at Columbia University
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