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[QUOTE=Guest;218249]Anirban Das 
[b]Email [/b]: anirbandas286 AT gmail.com 
 .
[b]OBJECTIVE [/b]:
To obtain a job focusing in analytics.
[b]COMPETENCIES [/b]:
- Strong analytical and problem solving skill
- SAS BASE
- SAS ADVANCED
- DATA ANALYTICS and SAS 9
[b]EDUCATION [/b]:
- I.S.C. from Better High School, 2006
- B.Sc in Economics from Calcutta University, 2009
- Post graduation in Economics from Rabindra Bharati University, 2011
[b]PROFESSIONAL TRAINING [/b]: 
- SAS Analytics VBA Certification from Orange Tree Global
[b]PROJECT AND CASE STUDIES  [/b]:
Project on Credit Risk Modeling at OrangeTree Global
Worked on a project related to Financial Markets wherein I had to examine the trust worthiness of a prospective customer and his/her possibility of defaulting on loan.
- The task was to build a Behavioural Credit Risk Model based on a large sample of data by applying Logistic Regression on the SAS platform. 
- The data had various information related to behaviour transactional details of the customers and their performance in repayment.
- There were number of validation checks which were performed to test the robustness of the model under taken in terms of various goodness – of – fit statistics. 
- There were number of goodness of fit statistics which we had considered like Percent Concordant, Hosmer – Lemeshow test, Wald – chi square and score tests.
Project on Time series Forecasting base on Airline data at OrangeTree Global
Worked on a project on Demand Forecasting for an Airline based on past data sets on number of passengers. 
- There was a rigorous check for non – stationarity in the data and the methodology involved the removal of non – stationarity for the data by taking some suitable mathematical transformation.
- It involved methodologies like ARMA and ARIMA to come to a series of forecasted figures of the future time period using SAS.
- We conducted ADF test to check for the stationarity and presence of Unit root in the data. 
- For the order of ARMA and ARIMA we have considered the ACF and PACF plots.
Project on Customer Satisfaction Survey at OrangeTree Global
Worked on a project related to retail domain based on Customer Satisfaction Survey where the objective was to find out the key factors influencing the overall customer satisfaction using OLS Regression.
- There were some rigorous checks in terms of data hygiene check, basic exploratory analysis on the data was performed to get better understanding of the data and the model that can be used on the data to solve the business problem.
- There were number of validation checks which were preformed to test the robustness of the model under taken in terms of various goodness – of – fit statistics.
- We looked into Adjusted R square, F statistics, and VIF values for goodness of the model and for selecting the optimum number of variable to be considered.
- The result got from the training set was then applied on the validation or hold out set to check the robustness of the model.

EXTRA CURRICULAR ACTIVITIES AND HOBBIES
Playing chess. I am also a chess trainer in an institute. 
 
 ANIRBAN DAS[/QUOTE]

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