Abhishek kumar

Banglore |+91-8340312526 |Talktoselect24@gmail.com
DataScietist

CAREER OBJECTIVE

To secure a challenging position where I can effectively contribute my skills as Software Professional, possessing competent Technical Skills.

Profile summary:

 I am working as Data scientist @ Bead technology with a total experience of 2+ years . I have done my bachelors in Computer Science from RGPV University Bhopal.

DEVELOPMENT: Developed models relying on decision trees, random forest, logistic regression, and other categorical data. .Hands on experience on Python for development , R and Python for analytics, data processing, real time machine learning for predictive modeling. Involved in deployement of project.

MACHINE LEARNING: Hands on implementing of Regression(Linear & Logistic  )classification (Decision Tree, Random Forest ,KNN ,Naive –baise ) and Clustering(K-means, Heririchal ) Technique for production of machine learning models . Familier with DEEP learning(CNN ,ANN, TensorFlow ) and Text Mining .

STATISTICS :Hands on experience in statistics for Performing Exploratory Data Analysis to validate the Test Data with cross validation ,confusion matrix.

Skills:
R , Python,SQL  
Statistics and Buissness Intelligence 
Machine learning Algorithm
knowledge of Deep learning ,NLP and Django framework.

PROJECT DETAILS :
 POS 1:
•	Client Name: V C Fortune Magazine Pvt. Ltd
•	Environment:	Python,Machine learning,Statistics,ETL

•	Roles:	Data Scientist
•	Types:  Enhancement
            
Role:

· Analyzed and used advanced analytical techniques such as Linear Regression & Random forests in comparing the accuracies which help in decision making of companies to invest in. 

· Data Pre- process like. cleaning, validation, quality, exploratory data analysis, missing responces and outlier treatment data to make it analysis.
·Created various dummy variables from the data using and Used data imputation techniques for missing data.Involved in coming up with various visualizations 
· Successfully interpreted data to draw conclusions for managerial action,strategy and used statistical techniques for hypothesis testing to validate data and interpretations
    
 POS II:
Client Name : Axis Bank 
•	Environment:	Python ,Statistics,Machine learning,Predictive Modeling
•	Role:  Data Scientist
•	Type: Loan Default

Roles: 
· Involved in determining the important variables and Data Pre-processing Technique such as Data Cleaning, Integration,Transformation,Visualization with Numpy,Seaborn,Matplotlib and Pandas Librarry
· Used bi-variate and multi variate analysis  analysis to understand the relationship between the variables, missing value treatment and imputation of missing values and Used multi-collinearity analysis to understand the highly correlating variables
·Used Logistic Regression and Decision Tree  to predict the defaulters in the customer who would not be able to pay to the bank .Used confusion matrix to interpret the output 

EDUCATION:
Bachelor of Technology in Computer Science and Engineering 	July 2011-July 2015

Radharaman institute of technology and science, Bhopal, India

B.E                                                                            7.4 CGPA                          12th BSEB								        62.40%		         10th BSEB									63.00%	
ACTIVITIES AND ACHIEVEMENTS:
•	Known as “STAR of the project” at Altranics software solution.
•	Active Volunteer of an NGO at my college.
•	Organized College Tech fest Vihaan 2014 as event organizer.
•	Winner of the cricket tournament .

 PERSONAL INFORMATION:
Date of Birth                                  : 31-12- 1992
Languages Known                         : English , Hindi 
Hobbies                                          : Reading, Watching News,cricket
Nationality                                      : Indian
Status                                             : Unmarried