Artificial Intelligence is the new buzz in
the town and it’s like electricity embedding itself in daily life, it has
advanced to the point, where it has the power to transform every major sector to
be techno-driven in the future years. I
felt that becoming a Machine Learning Engineer is a sense of marvel; hence a Master’s degree in Computer Science, with emphasis
on AI, is my passion.
Computer science is the future, which makes me stand on the cutting-edge of the
academic competition than to be left behind.

My thirst for innovation started the moment; I secured myself a seat in
Computer Science Engineering in one of the reputed colleges, Panimalar College
of Engineering, affiliated to Anna University. It has helped to acquire a solid
foundation and introduced me to various
fields in computer science and gave me lucrative insight into the theoretical
knowledge. My interest in the subjects helped me to secure an aggregate
of 83%, which helped me to be among the top students of my batch. I’m also an active member of the PEC
innovation club, where we involve in discussions regarding the booming problems
and come with solutions. I
wish to raise my understanding of the nuances of the Computer Science field and
use this knowledge to further enhance my chances for a lucrative career in
Machine Learning.

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American universities can be
considered as an epitome of freedom, as they allow students to customize their
course to fit their interests, engaging them more in zealous learning for gaining
in-depth knowledge, so that they become subject connoisseurs. I
have studied there from 2nd to 7th grade, so I’m familiar
with their teaching styles and love the environment as it’s an internationally
diverse cohort. They apply their cognitive skills to apply theory into practice
resulting in their own study solving the actual cases involves problems.(SENTENCE COULD BE BETTER FORMED) This practical
oriented study will also expose the student to the working environment right
from the start. 

During my sophomore days, I involved myself in the Face to
Emoji (AI related) project. It involves emotion detection using deep neural
networks, using Python 2.4 and Open CV languages, linear regression and
gradient descent algorithms. The outcome of the project is that, it identifies clearly anger, ambiguous
mood, and happiness and returns the relevant Emoji. This assignment greatly
strengthened my conceptual knowledge, and through its practical implementation,
it also allowed me to expertise my profound interest in Python programming.
Apart from the projects undertaken in college, it was my ardent desire to gain
exposure pertaining to the software industry, and this prompted me to handle up
vivid training and internships relevant to my field of study. One of the most
remarkable and engaging intern was at National Informatics Centre and this
helped to gain insight into the various live projects dealing with networking,
data science and analytics. It was an eye-opener for me as I came to know about
new Software’s and languages that assisted in Software Development and
delivering the Project successfully on time. I had undergone In-Plant Training
in Bharath Sanchar Nigam Limited (BSNL), one of the biggest telecommunication
industries undertaken byte government of India. Here I had a detailed
understanding of the function, operations and management of network
infrastructure components, including routers, switches, access points, and servers.
I also attended training at HCL Technologies Limited, giant Software Company in
India and across globe, where I was involved on an ongoing android project. For
my final year University dissertation, I am
working on a project under the supervision of Mrs.ST Santhana Lakshmi which
involves Best Drug Prediction for Healthcare Communities by incorporating
Machine Learning and Big Data. Also, I have been selected for practical project
training at Infosys Limited. I’m
gaining solid insipid practical knowledge related to various technologies and
concepts such as Python, and Object-Oriented Design and Programming. The
undergraduate program, external courses and internship has made me realize that
continuous progress and on-job training is the key to life.

and organizing events have stirred interest in me right from schooling and
boosted the confidence in me that I can manage any kind of situation. I was the event organizer for Xerone-16 (Computer Science Department Technical Fest) and also
an active volunteer for IEEE-Madras Section. Apart from this, I’m
handling the role of being the
Campus Ambassador for Shaastra’18 in IIT-MADRAS, a responsibility that
included acting as the bridge between the students and the administration. It
also involves in campaigning the activities to various schools and colleges,
and also assisting the students in case of any problem. 

feel that graduate study at Wayne State University should be the next step to
make me a well-rounded professional. I feel confident that with the renowned
faculty combined with World Class Research facilities at your university will
surely enable me to prove my mettle in the current competitive industry. My
desires are to do research under Dr.Ming Dong and Dr.Jing Hua as their research
and my interests correlate. It would be splendid opportunity if I could assist
Dr.Dong,as he is the director of Machine Vision and Pattern Recognition
Laboratory (MVPRL) at Wayne State University, I’m sure I can gain lots of
insight and way to make my dreams a reality.

My thirst for more knowledge and hands on experience has
motivated me for Master’s with research preparation as the prime focus in most
programs. I have plethora of innovative ideas and even have some action plans
to put them into applicability, but guidance from professors aided with
practical exposure can pave much smoother pathway to mightier innovations. On
a broader scale studying master’s program and possibly working for a short
period in the USA, I believe I can gain the vital skills to lead our industry
to a new era. I am
confident that, I will uphold the reputation of the university and also will become
a strong brand ambassador for the program after graduating from the course.






I'm Erica!

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