About me
I am trained in data sciences, statistics, and Data Analytics. I have an extensive background working with large and varied datasets using advanced data pre-processing tools, machine learning algorithms, and data visualization techniques to present the results. I use SQL, R, Python, and Tableau for my data projects.
Services
Data Visualisation
As the "Age of Big Data" kicks into high gear, Visualization is an increasingly crucial tool to make sense of the trillions of rows of data generated every day. Data visualization helps tell stories by curating data into a form that is easier to understand, highlighting trends and outliers. Hence Visualization gives you answers to questions you didn't know and helps make data-driven decisions.
I have used R/shiny, plotly, and Tableau for my data visualizations projects.
Machine Learning
Many of today's leading Health organizations and Tech companies, such as Facebook, Microsoft, UNICEF, Google, and Amazon, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies.
I have experience with supervised and unsupervised learning. In a recent project: I have built Heart attack prediction algorithms based upon historical data.
Data Analysis
Data harvesting, cleaning, reshaping, and development of automated workflows encompass data analysis steps. I have experience using data analysis tools, such as Tableau, SQL, SPSS, R, and Python. Which make it easier to process and manipulate data, analyze the relationships and correlations between data sets, and it also helps to identify patterns and trends for interpretation
Projects
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