SUSHANT KUMAR TYAGI       
DATA SCIENTIST     
Data  Scientist  with  5+  year  of  Industry  Experience,  Where  I  translated  various  Business  problems  into  Analytical 
solutions  using  Machine  learning  and  Deep  learning.  I  dealt  with  clients  And   catered  optimized  real  data  science 
solutions  
   thesushantkumartyagi@gmail.com                                                                            +91 - 7417788010           
          Delhi , India   
TOOLS/TECHNIQUES     
 
PYTHON ,NUMPY,PANDAS,MATPLOTLIB  
 
   Machine learning     Feature Engineering,Selection   ,EDA    
        
NLP         SQL    
        
Image Processing , OpenCV  
 
 Statistical ,Predictive Analytics
SKILLS
Data Mining,  Exploratory Data Analysis,  Clustering, 
Classification,  Linear Regression,  Logistics Regression, 
Predictive Modeling,  Artificial Neural Network, 
Machine Learning,  Optimization Techniques,  GAP 
Analysis,  Sentiment Analysis,  Reporting &amp; Dashboard 
creation
-Rsystems Pvt. Ltd (June 2017 -Present)


 
 Experience in Developing Statistical/ML/Deep
learning model using varies techniques was also 
involved in requirement gathering and Client 
interaction&amp; created model pipelined

 
 Pacific Global Pvt. Ltd (Aug 2016  &ndash;May 2017)


 
 Worked on healthcare Domain project ,Provided EDA
to uncover meaningful pattern out data by 
visualization tool like Tableau,Excel

Nthrive Global Solutions (Nov 201 5 &ndash; June 2016)
*  Analyzing Insurance data and creating the Reports

A.S Institute( DS-Trainer) (Aug 2021 -Present)
-
 Developing and Delievering Training 
programs,Providing guidance,Evaluation of Training 
effectiveness

    EDUCATION
  B.Tech in  Computer Science  from UPTU(2008-
2012)
    M.B.A in  Finance &amp; Marketing  from Subharti
University(Pursuing)
  
   
  

  
  

PROJECTS
  
  

   
 
 
 FRAUDULENT 
 MEDICAL 
 PROVIDER DETECTION
  
  

Provider  Fraud  is  one  of  the  biggest  problems  facing 

medicare.  The  total 
 medicare  spending  increased 

exponentially  due  to  medicare  frauds  and  the  goal  of 

this  project  is  to  predict  the  potentially  fraudulent 

providers based on the claims filed by them
  
 so built a 

binary classification model
 .
  

 

TABULAR DATA EXTRACTION 
  
  


 
 I
 n  this 
 project  we  built
  
 an  end
 -
 to
 -
 end  Deep  l
 earning 

architecture which has 
 not only localize
 d
  
 the Table in 

an  image,  but 
  
 also  generate
 d
  
 structure  of  Table  by 

segmenting  columns  in  that  Table.
  
 After  detecting 

Table  structure  from  the  image,  we  use
 d
  
 Pytesseract
  

OCR package to read the contents of the Table
  

 

    
 CUSTOMER CHURN PREDICTION
  

 
 Predicted 
  
 the 
 cu
 s
 to
 m
 er 
 chu
 r
 n for a 
 Tele
 c
 om 
 Company
  

for
  
 a
  
 period
  
 of
  
 5
  
 years
  
 with
  
 the
  
 primary 
 objectiv
 e
  
 of 

inve
 s
 t
 i
 gating 
 the 
 parameters  contributing
  
 for 

cu
 s
 tomer  churn. 
 A 
 L
 ogistic  Regression
  
 Model  was 

developed  and  val
 i
 dat
 e
 d 
 with  test
  
 d
 a
 ta  to  predict 

cu
 s
 tomer churn
  

 
  


  
 Master SQL for Data Science Certification Course 

b
 y
  
 Udemy
  


  
 AWS foundation (ML Basics)course certificate
  

Hobbies
   
  

Meditation, Cricket, Running         
  

 
  
Deep Learning
  

,Tensorflow,Keras
  

   
  
