Alain Mikael Alafriz
Analytics Engineer & Product Manager at DataHawk- Claim this Profile
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Bio
Experience
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DataHawk
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Australia
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Transportation/Trucking/Railroad
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Analytics Engineer & Product Manager
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Sep 2021 - Present
Paris, Île-de-France, France Played a pivotal role in the collection and distribution of large-scale E-commerce data to customers through the following: - Transformed large-scale datasets from various sources (Web Crawling, API, ML Output) into seamlessly analyzable data. Distributed this data to customers via Snowflake Data Sharing. - Project-Managed a team of Data Engineers to ensure quality delivery of our flagship Data Connector product, and various Data Collection pipelines. - Transformed… Show more Played a pivotal role in the collection and distribution of large-scale E-commerce data to customers through the following: - Transformed large-scale datasets from various sources (Web Crawling, API, ML Output) into seamlessly analyzable data. Distributed this data to customers via Snowflake Data Sharing. - Project-Managed a team of Data Engineers to ensure quality delivery of our flagship Data Connector product, and various Data Collection pipelines. - Transformed Transactional and Events data to be used for Internal Analytics. Generated insights from this data to inform product direction. Also doubled as a Hiring Manager for the Analytics Engineering team, and a customer-facing Solutions Engineer. Show less
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GCash (Mynt - Globe Fintech Innovations, Inc.)
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Philippines
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Financial Services
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700 & Above Employee
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Data Science Manager
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Mar 2018 - Sep 2020
Bonifacio Global City, Metro Manila, Philippines Hired, trained, and managed a total of 6 data scientists and analysts. Saved over 700 million PHP (14.5 million USD) worth of potential losses due to fraud, allowing the company’s sustainable growth from 250,000 to 9 million monthly engaged users in 2.5 years. This was accomplished through automated Risk Evaluation scripts, including: - Supervised and Semi-Supervised Learning models (e.g. Name spam classification, Potential Referral Abuser classification) - User-level frameworks… Show more Hired, trained, and managed a total of 6 data scientists and analysts. Saved over 700 million PHP (14.5 million USD) worth of potential losses due to fraud, allowing the company’s sustainable growth from 250,000 to 9 million monthly engaged users in 2.5 years. This was accomplished through automated Risk Evaluation scripts, including: - Supervised and Semi-Supervised Learning models (e.g. Name spam classification, Potential Referral Abuser classification) - User-level frameworks (e.g. Consolidated Risk Score, Identity Resolution Network, Cashflow Network) - Hard-coded fraud detection scripts (e.g. Promo Abuse detection) Also pushed for data democratization and enablement by deploying internal Shiny applications and facilitating a company-wide Data University initiative. Show less
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BDO Private Bank Inc
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Banking
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100 - 200 Employee
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Treasury Dealer
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Sep 2017 - Nov 2017
Makati, Metro Manila Completed the Treasury Certification Program, earning a license to trade financial derivatives.
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Uber
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Türkiye
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Advertising Services
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100 - 200 Employee
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Compliance Operations Intern
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Jun 2016 - Aug 2016
Bonifacio Global City, Philippines Identified and resolved several pain points in driver applications for legal documents. Migrated and cleaned existing data on backlogged applications.
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Education
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ESSEC | CentraleSupélec - Master Data Sciences & Business Analytics
Master Data Sciences & Business Analytics, Highest Distinction (Excellent) -
Ateneo de Manila University
Bachelor's degree, BS Management Engineering / AB Economics - Honors (Double Degree)