My brought me to where I am today.

My fascination in Data
Science is derived from, when I see product recommendations in shopping websites,
customized advertisement in social media, accurate TV shows and movie
recommendation in streaming websites. I am astonished by the huge amount of
data and what the algorithms could achieve in helping individuals or
organizations to make better decisions and elevating the existing processes.
Apart from these data science has been extensively used in sports, healthcare,
elections, marketing etc. The use of data science is destined to become even
more extensive, wide ranging and far reaching. I feel enthusiastic and excited
about the use of computer science and statistics to predict and arrive at better
decisions and its impact on society. I want to contribute to this evolution and
have an influence, thus I would like to pursue a Master degree in Data Science.

My father’s office
had a computer and I used to go there to mostly play games. During my high
school years, my dad suggested me to learn something instead of playing games.
I started with HTML and thus my journey in Computer Science began. The logic
and creativity required to be a good programmer intrigued me, and I discovered
I had a passion for it. I secured a merit seat in Sir M Visvesvaraya Institute
of Technology majoring in Computer Science & Engineering and it has brought
me to where I am today. During my undergraduate studies I explored many
fascinating subjects, especially programming in C & C++, Data Structures, Design
and Analysis of Algorithms, Graph Theory, Database Management Systems. I
mastered C and SQL, along with my other undergraduate courses. As Graph Theory
was one of the subjects that intrigued me, I tried creating a social network
graph of students in my college to detect clusters. Even though it did not
produce desired results I learnt a lot from the project and was appreciated for
my efforts by my professor.

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During my third
year at college I had the chance to build an interactive database system for
the college medical centre. The college organizes an annual blood drive. With
the help and guidance of the faculty members of the Computer Science
department, we built an interactive database whose function was to keep track
of valid donors among thousands of students and organize the donor data based
on availability and proximity of the donor. It was possible to keep track of
potential donors and contact them through an SMS system, without being
invasive. This experience provided an insight into how working with data in an
effective manner is necessary to gain the right answers to solve different
problems.

My first major
project was done in the final semester of undergraduate study. We were a team
of three and our project was “Libra – Lightweight data skew mitigation in
MapReduce”. The project was based on a research paper which suggested an efficient
and lightweight algorithm to prevent data skew in distributed computing models
like MapReduce by sampling of 20% of dataset to determine the type and skewness
of the data. The algorithm has negligible overhead and can speed up the
execution of some popular applications by up to a factor of 4.1. We implemented
the algorithm using Java, Hadoop-MapReduce.

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Hi!
I'm Eileen!

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