Professional Certifications

Completed eleven (11) professional certification programs from McAfee Institute, Microsoft, IBM, and Google focusing on a range of competencies in cyber security, cyber intelligence, data engineering, data science, cloud deployment and management, and data analytics. 

Currently working on the Advanced Google Business Intelligence program focusing on market and competition intelligence.

November 1, 2024 Google Cyber Security

  • Cyber security frameworks: NIST & CSF

January 25, 2024 Microsoft Certified: Power BI Data Analyst Associate

  • Prepare the data
  • Model the data
  • Visualize and analyze the data
  • Deploy and maintain assets

November 16, 2023 Microsoft Certified: Azure Data Fundamentals

  • Relational and non-relational data management in the Azure ecosystem
  • Cloud computing, architecture, warehousing, and governance

September 7, 2023 Microsoft Certified: Azure Fundamentals

  • Cloud concepts in general and Azure in particular
  • Azure architectural components and Azure services, such as compute, networking, and storage
  • Features and tools to secure, govern, and administer Azure

August 4, 2023 McAfee Institute Expert Cyber Investigator

  • OSINT, social media, and cyber Investigations case management and methodologies

July 15, 2023 McAfee Institute Cyber Intelligence Investigator

  • Advanced cyber investigations conducting deep/dark web, fraud, and digital forensics analysis

March 4, 2023 Google Project Management Professional

  • Learn how to initiate, plan, and execute a project
  • Prepare project timelines, meeting agendas, and Gannt charts
  • Learn Agile/Scrum Project management processes

February 8, 2023 AWS Certified Cloud Practitioner

  • Foundations of IT services in the AWS Cloud
  • Cloud fluency
  • Identify essential AWS services to set up AWS projects

November 19, 2022  IBM Data Warehouse Engineer

  • Design, load, manage and query relational databases and data warehouses
  • Compose various types of SQL statements and queries to access and manipulate data in databases
    • Beautiful Soup, TensorFlow, Keras
  • Deploy, Secure, Operationalize, Monitor and Optimize relational database systems like MySQL, PostgreSQL, and DB2
  • Build Data Pipelines to extract, transform and load data repositories using shell scripts, and tools such as Apache Airflow & Kafka
  •  Design and populate Data Warehouses and analyze their data with Business Intelligence (BI) tools like Cognos Analytics

October 10, 2022 IBM Data Science Professional 

  • Learn Python and SQL for data science and machine learning
    • Nested SQL queries and stored procedures
    • NumPy, Pandas, Matplotlib, Scikit-learn, SciPy, Seaborn
  • Perform data visualization and analysis
  • Probability and statistics
  • Create Machine Learning models

August 25, 2022 Google Data Analytics Professional

  • Prepare, process, analyze, and share data for thoughtful action
  • SQL and Google Bigquery
  • R and RStudio
  • Tableau