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1. Senior Data Scientist, Analytics with a strong focus on driving data-driven decision-making and designing experiments to shape product strategy and enhance business results. Proficient in A/B testing, analyzing user behavior, and conducting statistical analyses to produce actionable insights and boost customer satisfaction.2. Solid technical skill set with advanced proficiency in Python, SQL, and data visualization tools like Tableau. Skilled in employing machine learning and product analytics to analyze data trends, inform product direction, and enhance data-driven decision-making for innovative solutions.3. Expert in automation with experience in big data frameworks such as Apache Spark and AWS Glue, and proficient in using Airflow to build robust data pipelines and enhance data workflows for optimal performance.4. Extensive experience with machine learning tools like XGBoost and Scikit-learn, having developed fraud detection models that significantly improve accuracy and reduce false positives.5. Proven ability to understand user needs and align product development strategies through meticulous project management, consistently delivering exceptional results.6. Engaged collaborator with strong interpersonal skills, able to influence and align multiple teams with conflicting priorities to drive progress under aggressive time constraints.
Mastercard
View- Website:
- mastercard.us
- Company phone:
- 1800 689 562
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Associate Technical Product Manager (Pm Transition Program Participant @ Mastercard)Mastercard Jan 2022 - PresentPurchase, Ny, Us● Spearheaded the enhancement of Mastercard's Smart Authentication model within the EMV 3-D Secure authentication system, significantly improving security and user experience. Utilized my expertise in Python, SQL, and data visualization to analyze data trends and inform project direction.● Led a cross-functional team through the entire project lifecycle, from initial planning and charter development to successful closure. Applied comprehensive project management methodologies to ensure seamless execution, including rigorous planning, risk management, stakeholder engagement, and adherence to quality standards.● Addressed and rectified regional model variations by implementing region-specific data validation and labeling strategies. This initiative markedly increased the model's effectiveness and adaptability across diverse markets including NAM, AP/MEA, EUR, and LAC regions, thereby elevating global customer satisfaction.● Oversaw the project closure phase, meticulously documenting key findings and best practices. My leadership in ensuring a smooth transition and handover process underscored Mastercard’s dedication to fostering innovation and delivering exceptional value to customers worldwide.
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Senior Data Scientist, AnalyticsMastercard Mar 2019 - PresentPurchase, Ny, Us● Spearheaded the Smart Authentication Airflow Project, enhancing operational efficiency through the automation of data reporting processes. Managed and executed over 30 diverse DI (Card Authorization Model) work requests to optimize workflows and enhance customer satisfaction across credit and debit card transactions.● Led the development of automation scripts for anomaly detection in Mastercard's Smart Authentication System (Card Authentication Model). Utilized a statistical approach to calculate the 7-day moving average and identify outliers when score distribution was outside of 1.5 standard deviations, essential for monitoring smart authentication score distribution across various regions. Generated detailed Excel reports for product teams with merchant names, IP addresses, transaction amounts, and other relevant information to analyze the root causes of outlier score distributions.● Developed ML models using XGBoost and Python, enhancing fraud detection accuracy in Mastercard’s Decision Intelligence (DI) Model for all card transactions to 92% and reducing false positives by 15%. Key in improving fraud detection across both credit and debit card transactions.● Introduced POCs to customers using blind data from production servers to showcase model efficacy in fraud detection. Conducted model refreshes when performance declined, updating models with the latest data without altering features and fine-tuning performance weights. Rebuilt fraud detection models with new features upon significant changes in customer spending behavior.
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Data EngineerImvu Jul 2018 - Feb 2019Redwood City, Ca, Us● Built next generation data-monitoring tools to monitor the health status of different Hadoop clusters; report data node volume failures; report data pipeline tools, such as Kafka, Spark, and Gobblin anomalies; and take corrective action if anything went wrong in the data infrastructure.● Built data pipelines to efficiently and reliably move data across the infrastructure.● Streamlined operations for data infrastructure management by automating routine tasks; cleaning out space, and organizing a list of tables and schemas on the MySQL servers in preparation to migrate Spark/Hive jobs onto the cloud. -
Data Engineer InternFacebook May 2017 - Aug 2017● Expanded the use of Intel’s tool chain by using Python to perform memory margining at scale (~12.9GB of data) for the 1-socket OCP (Open Compute Project) and 2-socket OCP server design within Facebook’s data centers. This action affected billions of users.● Created high-signal visualization in Tableau to convey the overall quality metrics of the server design by designing Hive SQL-like queries to extract data (~12.9GB) and highlight risks. Pilot ran this methodology within Facebook’s automation framework.● Achieved Facebook’s OCP debug card validation within three weeks. This was accomplished in a short timeframe by exercising exceptional project management skills to define a test plan and forming a strategic alliance with Facebook’s hardware engineers and external ODM vendors in order to drive the project to completion. -
Senior Technical Product ManagerAdvantech Jun 2012 - Jul 2016Neihu District, Taipei 114, Tw● Led the Advantech Data Center Networking and Communication Systems Launch, deploying AdvancedTCA-ATCA, MicroTCA, CPCI, and AdvancedMC–AMC technologies.● Initiated project by identifying key stakeholders, setting vision and objectives, and assembling a multidisciplinary team.● Developed a comprehensive project management plan, defining KPIs for scope, schedule, and cost, and established a communication strategy.● Managed execution with a focus on quality standards, risk management, and stakeholder engagement, ensuring alignment with strategic goals.● Enhanced British Telecom's system performance by 80% in 2016 through firmware enhancement leveraging Intel DPDK, saving a $25 million contract.● Concluded the project with a structured close-out, team transition, and documentation of key learnings and achievements. -
Graduate Research AssistantPurdue University May 2007 - Aug 2010West Lafayette, In, Us● Worked with Dr. Janes’ group to research rapid detection of bacteria using a biochip and improved its performance time from 7 days to 3 hours or less.● Presented poster: “Impedance detection of bacteria using hollow fiber,” USDA/ARS 10th Annual Research Planning Workshop.● Researched potential applications of nanowire on the biological interaction of a charged peptide and compared its performance with gallium arsenide junction-field-effect transistors. -
Undergraduate Research AssistantDaad Deutscher Akademischer Austauschdienst May 2006 - Aug 2006Bonn, De● Assisted Dr. Pascal Ifeacho in conducting research and creating a computer model for synthesizing a WO3/AL2O mixed oxide in doped premixed H2/O2/Ar flame as part of the Research Internship in Science and Engineering (RISE) at University of Duisburg-Essen.
David Sung Skills
David Sung Education Details
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Carnegie Mellon UniversitySoftware Engineering And Business Management -
Purdue UniversityElectrical And Computer Engineering
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Purdue UniversityMinor: Mathematics
Frequently Asked Questions about David Sung
What company does David Sung work for?
David Sung works for Mastercard
What is David Sung's role at the current company?
David Sung's current role is Data Scientist | Expert in Product Analytics & Operations | Specializing in Machine Learning, Process Improvement & Automation | Patent Holder.
What is David Sung's email address?
David Sung's email address is yu****@****cmu.edu
What is David Sung's direct phone number?
David Sung's direct phone number is +141549*****
What schools did David Sung attend?
David Sung attended Carnegie Mellon University, Purdue University, Purdue University.
What are some of David Sung's interests?
David Sung has interest in Blogging, Badminton, Jogging, Yoga, Dancing, Management Training, Reading, New Technologies, Basketball.
What skills is David Sung known for?
David Sung has skills like Matlab, C, C++, Debugging, Semiconductors, Windows, Linux, Java, Javascript, Css, Html, Macos.
Who are David Sung's colleagues?
David Sung's colleagues are Varun Vasudevan, Kim Leman, Rohit Nagpal, Stephanie Detchemendy, Vandita Saple, Preethi Bolagani, Eric Sun.
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