Huy Pham Email & Phone Number

Vietnam

Vietnam

GeoComply provides geolocation fraud detection, prevention and cybersecurity solutions for online banking, payments and cryptocurrency industries list of global customers including Amazon Prime Video, BBC, Akamai, Sightline, DraftKings, FanDuel and BetMGM.- Lead BI team data engineers, business data analysts and data products teams build data insights platform and products that provides reporting, visualizations, and insights for GeoComply customers that transforms fragmented location and market data into actionable business insights.- Lead Data Insights Division to build Data Insights Platform, Reporting, Dashboards, and Data Product components with Engineering, Data Analysis, Business stakeholders, Product Management, Executives- GeoComply Data Products: Stadium Insights, Marketing Insights, Advertising Insights, POI & Events Insights- Data Insights: Analytics Product for Self-Service, Embedded Analytics, and Geospatial Analytics

- Lead Business Intelligence reporting team with about 20 members Business Data Analysts & Data Engineers & Big Data Engineers to ensure that reports and data analysis requests are delivered with high quality and on time.- Working with the Director of Development to ensure that the BI team has all the support that they need. - Working to create synergies across the company and encouraging communication to other departments; facilitating multi-function brainstorming sessions to assist with problem solving and collecting external suggestions.- Establishing processes for the Business Intelligence team to make the Business Intelligence team output aligned with the business requirements.- Managing the Business Intelligence team activities and performance, providing guidance to the team leads, and all team members; recruit, mentor, motivate, train, and coach employees ensuring their individual success.- Developing and maintaining a thorough understanding of the company’s products, processes, data and technologies.- Understanding the company’s vision, goals, and strategy, and actively contributing to the achievement of the goals and execution of the company’s strategy. - Ensuring documentation is always up to date and comprehensible to all stakeholders.- Data Insights Platform and Data Product leader with Engineering, Data Analysis, Business stakeholders, Product Management, ExecutivesTechnology: Power BI, Tableau, Salesforce CRM, AWS, Delta Lake, Delta Sharing, Databricks, dbt, Python, Jupyter Notebook, MySQL, MongoDB, Airflow, Kibana, Superset, etc.Qualification: Databricks Certified Data Engineer, Databricks Certified Data Analyst

Ching Luh Group employs over 78,000 people and is one of the world’s leading sports footwear producers including Adidas, FootJoy, Mizuno, Nike, and Reebok.- Ensure collection of relevant, accurate and timely data;- Analyze data and identify areas of issue, report such issues to senior leadership in a timely manner;- Ensure relevant reports are accurate, meet senior leadership of Ching Luh as well as NIKE’s expectations, and are produced within required deadlines;- Work together with other team members in Planning function to continuously improve planning and reporting processes to create increase visibility and efficiency throughout supply chain.- Provide solutions for centralizing and standardizing reporting tools and processes;- Partner with IT to explore automated reporting solutions and digital reporting/data analysis tools- Lead the Planning Organization with new ideas, tools, technical solutions & functionality of CLG in how we use, collect, analyze and report data.- Design customized reports based on end-user/audience with appropriate level of detail, including SLT, internal company reporting & external reports to customers- Communicate across Planning team & related department to mine data sources, understand relationships. Communicate with GMs and SLT to understand reporting needs- Design, develop and propose reporting solutions for centralized/standardized reporting for Planning data (Internal based on audience, External for customer Nike)- Work with IT and related departments to explore automated BI solutions- Partner with managers & CI/Lean department to develop visual management tool/options- Work with vendors to explore BI reporting investment options and expenditures within budget- Lead digitalization projects Business Intelligence: Planning, Scheduling, IE, Materials, Operation, HR, etc. Technology: SAP IBP (Integrated Business Planning), HRIS, Tableau Server, Power BI, Python, SQL, Jupyter Notebook

Hanoi, Thành Phố Hà Nội, Vietnam

- Lead and bring up a project management team to manage data and RPA projects- Co-work with other departments like marketing, technical group to build and standardized requirements- Check feasibility and make plan for SW/HW development for operator requirements- Define working process with related departments for projects- Coordinate internal resources (design, hardware, software, quality assurance, quality control) and third parties/vendors for the flawless execution of projects- Ensure that all projects are delivered on-time, within scope and within budget- Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility- Develop a detailed project plan to track team progress- Use appropriate verification techniques to manage changes in project scope, schedule, resources and costs- Measure project performance using appropriate systems, tools and techniques- Report and escalate to management as needed- Perform risk management to minimize project risks- Create and maintain comprehensive project documentation

- Data Science, Business Intelligence and Analytics: Transforming data into business results, data becomes the key driver for company growth and competitiveness- Developing custom optimization algorithms to maximize efficiency and profitability; - Implementing bespoke customer segmentation models to personalize marketing and products;- Using customer lifecycle modeling to improve customer acquisition, retention, and engagement; - Drawing on inferential and predictive statistics to analyze experiments and complex causal systems; - Build, design and run tools analyses using statistical programming languages: Python, SAS, SPSS and Tableau.- Leveraging predictive analytics to identify challenges and opportunities before they occur.- Drive the creation and implementation of best practices for data modelling, analysis, and machine learning; data exploration and reporting tools; and processes that allow data team to work efficiently within the product and the tech organisation- Define the overarching data strategy and vision for data pipeline, data products- Work closely with product management, product marketing, user-acquisition and development teams to ensure priorities and roadmap are aligned across the organisation- Big data, Data modeling, Data mining, Data visualization, Data warehousing, Extraction, transformation, and loading (ETL), Statistical software, Business intelligence, Business solutions, Cloud solutions, Product development, Product management, Software development principles, etc.

Vietnam

- Design and implement fault-tolerant data pipelines to integrate large amounts of data from many diverse storage systems- Building data team data analyst, data engineer, and data scientist- Promote a culture of self-serve data analytics by minimizing technical barriers to data access and understanding.- Execute complex data engineering projects that have a significant impact on business.- Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.- Stay current with the latest research and technology and communicate your knowledge throughout the enterprise- Take responsibility for preparing data for analysis and provide critical feedback on issues of data integrity- Experience knowledge of accounting, fraud, bribery and corruption or sector specific knowledge or experience- Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL;- Data visualisation software Spotfire, Tableau, or Qlik;- Statistical techniques (regression, clustering, linear regression, etc.);- Supervised predictive modelling (machine learning, genetic programming);- Unsupervised pattern detection (Bayesian inference, compression neural networks);- Data analytics from enterprise systems application such as SAP, HRMS, DMS, etc.

Philippines

Forensic Data Analytics• Anti-bribery/anti-corruption (ABAC) analytics• Anti-fraud analytics• Risk assessment• Dispute and damage analysis• Predictive modelingeDiscovery• Preservation and collection of ESI• Computer forensics, data mining and analysis• Early case assessment• Technology assisted review• Managed document review• Information governance• eDiscovery advisory services- Experience in data modeling (ER models) primarily for data warehousing purposes, with emphasis on dimensional schemas through full life cycle implementation.- Ability to design and implement reporting solutions in at least one of leading Business Intelligence packages (e.g. Oracle OBIEE, IBM Cognos, SAP Business Objects, MicroStrategy, QlikView, etc.).- Hands-on experience in using leading Data Visualization packages (e.g. Tibco Spotfire, Tableau, etc.) for producing enaging and useful insights.- Experience with investigating and handling data quality issues.- Building data team data analyst, data engineer, and BI consultants

Thailand

Forensic Technology services includes:• Forensic Data Analytics• E-Discovery response• Information risk management• Cyber crime and data breach investigationsRisk Consulting services includes:• Enterprise Risk Management (ERM)• Privacy and data protection• Governance, Risk, and Compliance (GRC)- SQL, relational databases and NoSQL databases;- Data modeling and data mapping;- Data integration tools (e.g. Talend, SnapLogic, Informatica) and data warehousing / data lake tools;- Relational SQL, distributed SQL and NoSQL databases:- MSSQL, PostgreSQL, MySQL, etc.- MemSQL, CrateDB, MongoDB, Cassandra- Neo4j, AllegroGraph, ArangoDB- Data integration tools such as Talend, Informatica, SnapLogic- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow- Business Intelligence tools such as Tableau, PowerBI, Qlik, Domo, Google Data Studio- Cloud technologies such as SaaS, IaaS and PaaS within Azure, AWS or Google;- Data mining and statistical analysis tools such as R, SAS …etc.- Reverse engineering or deep technical knowledge of ERP systems and other datasets- Extraction, cleansing and analysis of ERP data from a range of leading vendors such as Oracle, SAP and JD Edwards- Thorough experience identifying and addressing client needs: developing and sustaining deep client relationships using networking, negotiation and persuasion skills to identify and sell potential new service opportunities; preparing and presenting complex written and verbal materials; and defining resource requirements, project workflow, budgets, billing and collection; and,- Thorough experience as a team leader: leading teams to generate a vision, establish direction and motivate members, create an atmosphere of trust, leverage diverse views, coach staff, and encourage improvement and innovation.- Presenting technical and non-technical information to various audiences;

Oxford Strategic Leadership Programme

Master Of Science And Bachelor Of Business Administration, Accounting And Finance, Dean'S Honor List

Activities and Societies: University Community Services

Certified Financial Planner (Cfp®) Education Program, Financial Planning

Activities and Societies: Financial Planning, Insurance Planning, Investment Planning, Income Tax Planning, Retirement Planning, Estate.

Certified Fraud Examiner (Cfe) Credential, Fraud Examination

Activities and Societies: Fraud Prevention and Deterrence, Fraudulent Financial Transactions, Fraud Investigation, Legal Elements of Fraud

Certified Internal Auditor (Cia), Certified Financial Services Auditor (Cfsa), Certification In Control Self-Assessment (Ccsa)

Certified Information Systems Auditor (Cisa), Certified Information Security Manager (Cism), Certified In The Governance Of Enterprise It (Cgeit)

Activities and Societies: Certified in Risk and Information Systems Control (CRISC)

Certified Associate In Project Management (Capm)

Certified Information Systems Security Professional (Cissp®)

Comptia Advanced Security Practitioner (Casp), Project+, Network+, Security+, Cloud+, Green It

Certified Business Intelligence Professional (Cbip), Business Intelligence And Data Warehousing

Certificates, Computer Science

Blockchain A-Z™: Learn How To Build Your First Blockchain Data Science A-Z™: Real-Life Data Science Exercises Included Python A-Z™: Python.