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I completed an internship on Machine learning through my own interest at KG DENIM private limited who are the leading exporter of Jeans to overseas countries.

I completed an internship on Machine learning through my own interest at KG DENIM private limited who are the leading exporter of Jeans to overseas countries. Also, Inculcated to perform data handling of various departments for various prospective. On the other hand, I have also implemented the Hypothesis formulation, multivariate analysis and many more methods in order to estimate the running performance and breakages of the yarn by their guidance. It provided a wonderful chance to study advanced algorithms, statistical techniques, exploiting various tools such as Mini tab and SPSS. My passion for data science has constantly inclined, and I am extremely interested to study the latest Technological tools based on industry requirements while studying graduation at your university. In addition to my apprenticeship, I have worked as an Assistant System Engineer at TATA Consultancy Services for two years. During my learning phase, I have been trained on multiple domains such as Internet of things, Machine learning, Data Virtualization, Web Technology. Furthermore, I have also actively participated in AI hackathons and done a Running pace simulator project in the field of Internet of Things. Hence, I will relish the opportunity to collaborate with my classmates to inculcate and felicitate updated knowledge at a number of points during my masters at your university. Fortunately, I got an opportunity to work on a Machine learning project using the Tensor flow API’s. My experience working with these tools and technologies has further motivated me to upgrade my learning and pursue masters in data science. Further point of Interest, I am very interested in exploring the new Technologies and analyzing the amazing benefits of these strategies with my colleagues and Professors. It rendered an great opportunity to perform a number of project proposals such as Analysis of Agricultural data, Internet of Agriculture, Intelligent Blind reader, Respiratory Syndrome Prediction, Analysis of Model distribution strategies. Moreover, The Procedure by which the data is utilized for the learning the various algorithmic workflows. This helped me to learn the importance of data and it's needs in the each problem statement. My exposure towards usage of the information has encouraged me to study my masters in data science. I feel that my experience throughout the field of work would indeed be beneficial to my studies. I am confident that my collective experience has sufficiently prepared me for this next step in my scholastic journey. Therefore, it would be a wonderful opportunity to be nurtured in a reputable learning environment as there is great collaboration with industrial people in class rooms at University, as this will allow me to contribute significantly to use data effectively that benefits later developments for global nations.
I completed an internship on Machine
learning
through my
own
interest at KG DENIM private limited who are the leading exporter of Jeans to overseas countries.
Also
, Inculcated to perform
data
handling of
various
departments for
various
prospective.
On the other hand
, I have
also
implemented the Hypothesis formulation, multivariate analysis and
many
more methods in order to estimate the running performance and breakages of the yarn by their guidance. It provided a wonderful chance to
study
advanced algorithms, statistical techniques, exploiting
various
tools such as Mini tab and
SPSS
. My passion for
data
science has
constantly
inclined, and I am
extremely
interested to
study
the latest Technological tools based on industry requirements while studying graduation at your university.

In addition
to my apprenticeship, I have worked as an Assistant System Engineer at TATA Consultancy Services for two years. During my
learning
phase, I have
been trained
on multiple domains such as Internet of things, Machine
learning
,
Data
Virtualization, Web Technology.
Furthermore
, I have
also
actively
participated in AI hackathons and done a Running pace simulator project in the field of Internet of Things.
Hence
, I will relish the
opportunity
to collaborate with my classmates to inculcate and felicitate updated knowledge at a number of points during my masters at your university.
Fortunately
, I
got
an
opportunity
to work on a Machine
learning
project using the Tensor flow API’s. My experience working with these tools and technologies has
further
motivated me to upgrade my
learning
and pursue masters in
data
science.

Further
point of Interest, I am
very
interested in exploring the new Technologies and analyzing the amazing benefits of these strategies with my colleagues and Professors. It rendered
an
great
opportunity
to perform a number of project proposals such as Analysis of Agricultural
data
, Internet of Agriculture, Intelligent Blind reader, Respiratory Syndrome Prediction, Analysis of Model distribution strategies.
Moreover
, The Procedure by which the
data
is utilized
for the
learning
the
various
algorithmic workflows. This
helped
me to learn the importance of
data
and it's needs in
the each
problem statement. My exposure towards usage of the information has encouraged me to
study
my masters in
data
science.

I feel that my experience throughout the field of work would
indeed
be beneficial to my
studies
. I am confident that my collective experience has
sufficiently
prepared me for this
next
step in my scholastic journey.
Therefore
, it would be a wonderful
opportunity
to
be nurtured
in a reputable
learning
environment as there is great collaboration with industrial
people
in
class
rooms at University, as this will
allow
me to contribute
significantly
to
use
data
effectively
that benefits later developments for global nations.
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IELTS essay I completed an internship on Machine learning through my own interest at KG DENIM private limited who are the leading exporter of Jeans to overseas countries.

Essay
  American English
4 paragraphs
442 words
5.5
Overall Band Score
Coherence and Cohesion: 5.0
  • Structure your answers in logical paragraphs
  • ?
    One main idea per paragraph
  • Include an introduction and conclusion
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  • Vary your linking phrases using synonyms
Lexical Resource: 5.5
  • Try to vary your vocabulary using accurate synonyms
  • Use less common question specific words that accurately convey meaning
  • Check your work for spelling and word formation mistakes
Grammatical Range: 6.5
  • Use a variety of complex and simple sentences
  • Check your writing for errors
Task Achievement: 5.0
  • Answer all parts of the question
  • ?
    Present relevant ideas
  • Fully explain these ideas
  • Support ideas with relevant, specific examples
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