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Hire Somshankar B.

India

USD 20 /hr

Freelancer data scientist with expertise in Python,R,SQL,SAS, decision tree, alograthim and Regression analysis

Profile Summary

Completed a project using R and python, where linear regression was used to create models to predict the property selling prices based on different predictors related to the properties. Data cleaning was performed in the beginning followed by imputations in the dataset, filtering predictors based on parameters like Vif scores, P-Values to reach to the final model with the maximum multiple R squared value and least number of predictors. Completed a project using R and python, where logistic regression was used for Bank Credit Card Default Prediction based on different predictors related to the customers. Predictors were filtered based on parameters like Vif scores, P-Values to reach to the final model with the maximum overall accuracy rate and Area under Curve with least number of predictors. The final model was trained using training data and later tested on the testing data set.  Completed a project using R and python, where decision tree concept was used for Bank Credit Card Default Prediction based on different predictors related to the customers. The dataset used was different from the one in Logistic Regression. Predictors were filtered to reach to the final model with the maximum overall accuracy rate and Area under Curve with least number of predictors being used. Then boosting was performed with different number of trials to check for further improvements in the final results.  Completed a project using R, where Linear Discriminant Analysis (LDA) was used for Bank Credit Card Default Prediction based on different predictors related to the customers. This was done to compare the results with the respective Logistic Regression and Decision Tree models built earlier. Then LDA was used to predict the species of different flowers in inbuilt R dataset “iris”. Final model had maximum overall accuracy rate with minimum errors. The classifications were clearly visualized using scatter plots.  Completed a Case Study project using SAS Retail Store Analytics, to understand the basic concepts of SAS. Data was imported, cleaned and transformed to use it for various reporting’s such as generating maximum sale day report, report of most loyal customers etc. Tables were queried using SQL to get required results. Various conditional statements and SAS functions were used throughout the project.  Completed a capstone project using SAS, to understand and evaluate banks credit card system. Missing data and faulty columns were adequately treated before the data could be properly analyzed. Data exploration was carried out and Bank’s Profit from Credit Card was calculated using relevant calculations using SAS codes. Finally reports were generated as asked in the project, such as age group spending highest amount, most profitable segments, etc

Subject Matter Expertise

• ★ Data Analysis
• ☆ Regression Analysis

Services

• Research
• Consulting
• Data & AI
• Product Development

Research Market Research

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML

Product Development Formulation

Work Experience

Senior client Technical Services Executive

Dell International Services

June 2016 - April 2018

Education

Data Science Pro Degree

Emarticus learning

November 2019 - May 2020

B.Tech

West Bengal University of Technology

April 2011 - June 2014

Certifications

• Certification details not provided.