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Knowledge and training skills

Knowledge and training skills 0EObO
I achieved a first-class computer science undergraduate degree. During my graduation, I got into programming languages like Python, R, and java and developed strong analytical coding skills. In addition, my academic modules like linear algebra, calculus, statistics and probability, helped me get a strong foundation of mathematics. My first leap into Artificial intelligence began with a college project, Image classification model Inception V3, which classifies malignant and benign skin cancer Images. After that, academic modules including machine learning and artificial intelligence helped me further understand various AI/ML concepts. I also have three-plus years of work experience as a data scientist. I was responsible for collecting requirements and designing Machine learning solutions. One of my assignments involved a global demand forecasting solution for nearly 20k products, implemented a probabilistic forecasting algorithm called DeepAR (published by amazon researchers). Also, worked on the developement of anomaly detection algorithms for the detection of network security breaches. I am not limited to designing solutions but deploying solutions on cloud platforms like AWS using Docker and orchestration platforms like Kubernetes. This experience alleviated my analytical, problem-solving, and conceptual skills, including deep insight into SDLC (Software Development Life Cycle). In addition, I am well versed with popular python data science packages like pandas, numpy, sklearn and tensorflow.
I achieved a
first
-
class
computer science undergraduate degree. During my graduation, I
got
into programming languages like Python, R, and java and developed strong analytical coding
skills
.
In addition
, my academic modules like linear algebra, calculus, statistics and probability,
helped
me
get
a strong foundation of mathematics.

My
first
leap into Artificial intelligence began with a college project, Image classification model Inception V3, which classifies malignant and benign skin cancer Images. After that, academic modules including machine learning and artificial intelligence
helped
me
further
understand various AI/ML concepts.

I
also
have three-plus years of work experience as a data scientist. I was responsible for collecting requirements and designing Machine learning
solutions
. One of my assignments involved a global demand forecasting
solution
for
nearly
20k products, implemented a probabilistic forecasting algorithm called
DeepAR
(published by
amazon
researchers).
Also
, worked on the
developement
of anomaly detection algorithms for the detection of network security breaches. I am not limited to designing
solutions
but
deploying
solutions
on cloud platforms like AWS using Docker and orchestration platforms like Kubernetes.

This experience alleviated my analytical, problem-solving, and conceptual
skills
, including deep insight into SDLC (Software Development Life Cycle).
In addition
, I am well versed with popular python data science packages like pandas,
numpy
,
sklearn
and
tensorflow
.
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IELTS essay Knowledge and training skills

Essay
  American English
4 paragraphs
210 words
This writing has been penalized,
text can't be
less than 250 words in Task 2
and less than 150 words in Task 1
5.0
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: 6.0
  • 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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