Data Analyst
Data Scientist
BI Developer
ML Engineer
Proactive and highly motivated individual with a stellar track record of success in data analysis, data modelling, Business Intelligence developing, end-to-end Machine Learning building and deployment, and problem solving with experience using SQL, Python, Power BI, GIT and AWS to solve business challenges.
After graduating from a Masters in Data Analytics in Manchester Metropolitan University, I officially became a Data Analyst. Then I had about 3 years of priceless experience with some companies which cemented the knowledge I gathered. Then, I went further and studied a bootcamp with The Developer Academy to grasp the fundamentals of Data Science.
Therefore, I am a Data Analyst, Business Intelligence developer and Graduate Data Scientist that is passionate about working with organisations that want to make data-driven decisions.
Do you want to work together? Please reach out to me by any of the means of contact.
It encompasses a range of techniques and methods, including machine learning, statistical modeling, data visualization, and data mining. It involves working with both structured and unstructured data, such as text, images, and video.It involves collecting, cleaning, processing, and analyzing large volumes of data, with the goal of identifying patterns, trends, and relationships that can be used to make informed decisions.
ProjectsIt is a process of collecting, analyzing, and presenting data in order to help organizations make better business decisions. It involves a variety of techniques and technologies, including data mining, data warehousing, and data visualization. BI typically involves gathering data from a range of sources, such as internal company systems, customer data, and external market data.
ProjectsIt is the process of inspecting, cleaning, transforming, and modeling data in order to discover useful information, draw conclusions, and support decision-making. It involves a variety of techniques, including statistical analysis, machine learning, data mining, and visualization.The purpose of data analysis is to uncover patterns and insights from data that can be used to inform business decisions, identify opportunities for improvement, and solve problems.
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