Data exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest. This process isn’t meant to reveal every bit of information a dataset holds, but rather to help create a broad picture of important trends and major points to study in greater detail.
Find Out MoreA determined and motivated actuarial student with demonstrated experiences in applying my knowledge of data and technology trends and grow with the company. My degree in Actuarial Science and my work experience as a Finance Intern have provided me with knowledgeable expertise in Microsoft Excel and fundamental awareness of programming languages such as R. Seeking for any position to enhance my practical knowledge in the data science and business intelligence sector.
Let's get started!Choosing where to go to college is one of the most prevalent issues facing teenagers across the country. With this data, I hope interesting findings will emerge pertaining to which schools are worth attending most. Exploratory data analysis was performed using this dataset which contains the rankings of 650 Unites States colleges along with various other statistics pertaining to each school.
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This dataset is from a cardiovascular study of residents in Framingham City, to investigate the epidemiology of cardioid diseases, including the effects of diet, exercise and medications.
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I have built a model to predict the churn of a telco company. This means to whether the subscribers is going to stay with the company or switch to another telco company network.
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Perfomed Linear Regression Analysis to predict the serum cholesterol level and the maximum heart rate achieved using the age of the patient that has been admitted into the hospital.
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Perfomed Linear Regression Analysis to predict the sales revenue from social advertisement spent on Google, Facebook and Instagram.
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Sentiment Analysis is often performed on text data to help businesses to moniter their brands and products sentiments, especially in customer feedback and also understand what they need. It is a natural language processing technique that we use to determine whether our data is positive, neutral or negative.
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