uservipin commited on
Commit
bfaaca4
1 Parent(s): 1dd53e2

updating resume section

Browse files
Files changed (3) hide show
  1. .gitignore +2 -0
  2. __pycache__/resume.cpython-310.pyc +0 -0
  3. resume.py +7 -1
.gitignore CHANGED
@@ -1,2 +1,4 @@
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  Penguins species clustring.ipynb
 
 
 
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  Penguins species clustring.ipynb
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+ test.ipynb
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+ test1.py
__pycache__/resume.cpython-310.pyc CHANGED
Binary files a/__pycache__/resume.cpython-310.pyc and b/__pycache__/resume.cpython-310.pyc differ
 
resume.py CHANGED
@@ -63,7 +63,13 @@ class Resume:
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  def display_information(self):
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  st.header("About: ")
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  st.write("Data Science professional with over 3+ years of hands-on experience specializing in data analysis, data visualization, and the development and implementation of Data Science/Machine Learning/AI models.Currently, dedicated to the role of a Fraud detection Data Scientist, leveraging advanced statistical and ML, AI techniques.")
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-
 
 
 
 
 
 
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  def display_work_experience(self):
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  st.header("Work Experience")
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  with st.expander("**Enhancing Customer Experience and Operational Efficiency through NLP Techniques**"):
 
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  def display_information(self):
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  st.header("About: ")
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  st.write("Data Science professional with over 3+ years of hands-on experience specializing in data analysis, data visualization, and the development and implementation of Data Science/Machine Learning/AI models.Currently, dedicated to the role of a Fraud detection Data Scientist, leveraging advanced statistical and ML, AI techniques.")
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+ st.write("")
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+ st.write("----------------------------")
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+ st.write("LinkedIn [link](https://www.linkedin.com/in/vipin-/)")
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+ st.write("GitHub [link](https://github.com/uservipin)")
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+ st.write("Web Project Source Code [link](https://github.com/uservipin/HF_Projects)")
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+ st.write("Data Science Projects [link](https://github.com/uservipin/data_science)")
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+ st.write("Python Projects [link](https://github.com/uservipin/python)")
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  def display_work_experience(self):
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  st.header("Work Experience")
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  with st.expander("**Enhancing Customer Experience and Operational Efficiency through NLP Techniques**"):