Dr. Arif

Trainer Dr Arif


  • PhD. Artificial Intelligence, University Science Islam
  • MSc. Software Engineering, University of Wollongong, Australia
  • BSc. Network Security, University of Wollongong, Australia
  • Enterprise Big Data Certified
  • Machine Learning and AI Evangelist



  • English


  • English


Dr.  Arif has more than twelve (12) years of working experience in Information Communication and Technology (ICT) industry. The highlights of his career are more than six (6) years of holding various senior management and/or C-Level position (CTO and COO) and five (5) years of international exposure in various countries.

Dr. Arif worked in various organization of SMB, large corporate and multi-national conglomerate. It covers various aspects of business operation covering Financial Service Industry, Telecommunication Industry, Consulting and System Integrator either as end user or contractors. He had work in various position in ICT industries makes him understand well of all level position roles, responsibilities and working desires. He also had the experience as an ICT entrepreneur with his partner in delivering strategic product, innovative business concept, strategic business model and strategic partnership concept. He had governed, managed, supervised and project team member in various kind of ICT projects. The deliveries ranges of; best of bread integrated products deployment, custom-developed applications, leading world package solutions, integrated infrastructure technologies, security surveillance, media intelligence solution, managed service or business process outsourcing, architecture blueprint creation and consulting. The project value ranges from hundred thousand to hundred million worth of projects.

He acquired extensive competency, energetic and looking ahead for any challenges related to his area of expertise in ICT covering Senior Management, Business Operation, Business Transformation, Strategic Planning, Business Consulting, Business Planning, Project Management, Bid Management, Managed Services, Solution Architect, and Support Management.


  • Big Data Ecosystem – HDFS, Hadoop, MapReduce, HBase, Hive, Sqoop, Pig, Zookeeper, Oozie, Flume, Kafka, Spark and Scala.
  • Databases – Oracle, SQL Server, Teradata, MySQL, PostgreSQL, HIVE, MongoDB, NoSQL
  • ETL – Informatica Power Center, SSIS, Pentaho-Kettle, Talend, Pervasive OLAP – SSAS, PentahoSchema Workbench, Metadata Editor, User Console (BI server)
  • BI Reporting – Tableau, PowerBI, QlikView, Business Objects, Micro strategy, Cognos, Pentaho
  • Operating Systems – Windows and Unix shell scripting
  • Scheduling Tools – Control-M, AutoSys
  • Data Modeling – Enterprise Architect and Erwin
  • Data Modeling Methodologies – Dimensional, FSLDM, EDM/EDT
  • IT Systems – OLTP/OLAP/EDW/Data Mart/ODS
  • SDLC methodologies – Agile/Waterfall/V-model
  • Business domains – Banking & Finance, Oil & Gas, Automobile, Insurance, Sales & Retail


  • Microsoft Certified Solutions Expert (MCSE)
  • Cisco Certified Network Associate Routing & Switching (CCNA)
  • Cisco Certified Network Professional (CCNP)
  • Big Data Foundations – Level 3
  • Data Science Foundations – Level 3
  • Data Science for Business – Level 3
  • Hadoop Foundations – Level 3
  • Apache Spark v2.4 for Big Data Analysis
  • Teradata 12 certified Database Administrator
  • Teradata 12 Physical implementation
  • IBM Datastage v8.0 certified
  • Teradata 12 certified professional
  • Certified Ethical Hacker – V10.0

Courses Conducted

  • Data Science and Big Data Analytics for Business Transformation
  • Cyber Security Awareness
  • MySQL for ETL
  • Python for Data Science
  • Microsoft Train-The-Trainer Programme (MPP)
  • Essential Statistics for Data Analysis using Excel
  • Big Data Foundation
  • Machine Learning and Artificial Intelligence
  • Microsoft Professional Orientation: Data Science
  • Querying Data with Transact-SQL
  • Ethics and Law in Data and Analytics
  • Analytics Storytelling for Impact
  • IT Service and Operation Management
  • Tableau Desktop I – Fundamentals
  • Professional Cloud Developer
  • Developing Big Data Solutions with Azure Machine Learning
  • Principles of Machine Learning : Python Edition
  • Data Science Research Methods: Python Edition
  • MongoDB
  • MySQL for Database Administrators
  • Security Awareness Training
  • CEH-Workshop
  • AWS Workshop
  • Cloudera Hadoop Customized
  • Performing Big Data Engineering on Microsoft Cloud Service




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