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Relevant Knowledge/Training Skills

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 different 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.
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
different
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.
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IELTS essay Relevant Knowledge/Training Skills

Essay
  American English
2 paragraphs
251 words
6.0
Overall Band Score
Coherence and Cohesion: 5.5
  • Structure your answers in logical paragraphs
  • ?
    One main idea per paragraph
  • Include an introduction and conclusion
  • Support main points with an explanation and then an example
  • Use cohesive linking words accurately and appropriately
  • 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: 6.0
  • Answer all parts of the question
  • ?
    Present relevant ideas
  • Fully explain these ideas
  • Support ideas with relevant, specific examples
Labels Descriptions
  • ?
    Currently is not available
  • Meet the criteria
  • Doesn't meet the criteria
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