Experience

DataHawk

• France
• Software Development
• 1 - 100 Employee

• Analytics Engineer & Product Manager

  • Sep 2021 - Present

  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 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



GCash (Mynt - Globe Fintech Innovations, Inc.)

• Philippines
• Financial Services
• 700 & Above Employee

• Data Science Manager

  • Mar 2018 - Sep 2020

  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 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



BDO Private Bank Inc

• Banking
• 100 - 200 Employee

• Treasury Dealer

  • Sep 2017 - Nov 2017

  Completed the Treasury Certification Program, earning a license to trade financial derivatives. Completed the Treasury Certification Program, earning a license to trade financial derivatives.



Uber

• United States
• Internet Marketplace Platforms
• 700 & Above Employee

• Compliance Operations Intern

  • Jun 2016 - Aug 2016

  Identified and resolved several pain points in driver applications for legal documents. Migrated and cleaned existing data on backlogged applications. Identified and resolved several pain points in driver applications for legal documents. Migrated and cleaned existing data on backlogged applications.