PurposeI am a very hard-working, diverse, determined and honest
person. I think one of my most distinguishing characteristics is my
curiosity for learning new things and that is what led me to the
field of Data Science. I first came across Data Science while doing
research for building an Email Spam Detection application using
machine learning for my college project. I was truly captivated
with the way machine learning worked especially with its
implementation in fields ranging from spam detection in emails to
giving recommendations for music and products on sites like YouTube
and Amazon, and also used in the areas of finance and healthcare.
Since then, I am fixated on gaining more knowledge about the
concepts of machine learning and data science in general. I intend
on enrolling in Master's in Big Data at the University Of Stirling
to pursue a successful career as a Data Scientist.
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I gained in-depth awareness of concepts in calculus and analysis through multiple courses in Applied Mathematics. In addition, the courses in Data Structures and Algorithms introduced me to different techniques for conducting searches, sorting, as well as using clustering, classification and regression algorithms. Furthermore, the subjects related to database management helped me gain knowledge about the steps involved in the storage and retrieval of large amount of data and normalizing it. During the tenure of my undergraduate studies, I gained significant skills in programming with C, C++, Java and Mat Lab. In my last year project, I built an Email Spam Detection Application in Java. I used Logistic Regression to identify whether an incoming email is a spam or not by comparing the words in the mail with the Spam Vocabulary, we have provided and by counting how many times a particular word appears in an
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