A FULL-STACK DATA PROFESSIONAL AND AUTOMATION SPECIALIST
As an analytical professional, I specialise in data analytics, data visualisation, analytics engineering, data engineering, machine learning, business analytics, programming, and robotic process automation (RPA). I'm passionate about utilizing up-to-date technology to solve real-world problems and drive growth for organizations. With my expertise and dedication to ongoing learning, I'm always ready to tackle new challenges and deliver exceptional results.
This certification validates proficiency in maximizing business data value with Microsoft Power BI, including data modeling, transformation, and advanced analytics through easy-to-understand data visualisations.
Earners of this certification use their skills to enable stakeholders to make business decisions by understanding the business problem, identifying data to explore for analysis, and delivering actionable insights.
Earners demonstrate advanced proficiency in designing analytic apps, building macros, analyzing spatial data, performing advanced data prep & analysis, and creating visual reports with Alteryx Designer.
Passing dbt Analytics Engineering Certification Exam validates the ability to build, test, and maintain models to make data accessible, and to use dbt to apply engineering principles to analytics infrastructure.
Data analytics involves examining and interpreting large datasets to extract meaningful insights and support informed decision-making. This responsibility includes tasks such as data exploration, statistical analysis, predictive modeling, data visualization, and reporting, ensuring organizations can effectively understand trends and make strategic choices based on their data.
Data engineering involves designing and constructing infrastructure, frameworks, and processes for large-scale data processing and storage. This responsibility includes tasks such as data modeling, data warehousing, data wrangling, and data pipelines, ensuring data quality to enable organizations to efficiently manage and derive insights from their data.
Machine learning involves developing algorithms that enable computers to learn from data and make predictions or decisions. Neural networks, inspired by the human brain, are powerful algorithms within machine learning that excel at recognizing patterns and are used in tasks like image recognition and predictive analytics.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence. APIs of AI, such as OpenAI APIs, provide developers with convenient access to AI capabilities, allowing them to integrate advanced AI functionalities into their applications and services easily.
Python is a popular high-level programming language known for its simplicity and readability. It has gained significant popularity due to its vast ecosystem of packages and libraries, which provide extensive functionality for various domains such as data analysis, machine learning, web development, and more
Apache Spark is a fast and versatile distributed computing system. Its PySpark ecosystem, including Spark RDD, Spark DataFrames, Spark SQL, and Spark ML, enables efficient processing and analysis of large-scale datasets using Python, with in-memory computing and robust support for machine learning and data manipulation tasks.
SQL (Structured Query Language) is a powerful programming language used for managing and manipulating relational databases. It provides a standardised way to interact with databases, allowing users to query, insert, update, and delete data, as well as define and modify database structures.
An algorithm is a step-by-step procedure or set of rules designed to solve a specific problem or accomplish a particular task. It is a fundamental concept in computer science and forms the basis for developing efficient and effective solutions in various domains, from data processing and machine learning to optimization and cryptography.
VBA (Visual Basic for Applications) is a programming language utilised to automate tasks and enhance functionality in Microsoft Office applications such as Excel, Word, PowerPoint, and Outlook Email. It empowers users to create macros, userforms, user-defined functions, and streamline workflows, making their work more efficient and productive.
SAS (Statistical Analysis System) is a comprehensive software suite widely used for advanced statistical analysis, data management, and predictive modeling. With its extensive range of tools and capabilities, SAS enables organizations to derive valuable insights from their data, make data-driven decisions, and effectively solve complex analytical problems.
Alteryx is a powerful data analytics and data preparation platform that empowers analysts and data scientists to efficiently blend, cleanse, and analyse data from various sources. With its intuitive drag-and-drop interface and extensive library of pre-built tools, Alteryx enables users to gain insights and automate complex data workflows without requiring extensive coding knowledge.
Tableau is a leading data visualisation and analytics platform that allows users to transform complex datasets into interactive visualisations and dashboards. With its user-friendly interface and powerful capabilities, Tableau enables organizations to easily explore and communicate data-driven insights, making it a valuable tool for data analysis and decision-making.
UiPath is a prominent RPA (Robotic Process Automation) software that automates tasks, streamlines workflows, and improves operational efficiency. With an intuitive interface and advanced capabilities, UiPath empowers organizations to automate business processes across applications, freeing up resources for higher-value activities.
Web application development using HTML5 and CSS3 allows for the creation of modern, interactive, and visually appealing websites. HTML5 provides the structure and semantics, while CSS3 enhances the design and layout, enabling developers to build dynamic and responsive web applications that deliver an engaging user experience.