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CHANDAN KUMAR
(+91) 9962434103 | chandankumar.dbg163@gmail.com
A diligent and self-motivated professional backed with specialization in applied economics and data scientist
SKILL HIGHLIGHTS
Applied Econometrics
Statistics
Big Data Analysis
R-Programming Language,SQL,EVIEWS, STATA, MICROFIT, MS Excel
Languages: Fluent in English and Hindi
CURRENT POSITION
Brillio, Bengaluru, India,Analytic Consultant | July 2015
PROJECT
US Food Predictive Modeling
To understand the Weekly cases (box) delivered to the US food warehouse from different vendors; 100
different SARIMA-X models had been applied in R software to predict the cases for each 100 US food
warehouses. The external factors like temperature, snowfall, inflation, GDP, holiday calendar being
also used for forecasting the Weekly cases demand for US food warehouse.
Forecasting tools:
Statistical: ARIMA, SARIMA, SARIMA-X, HOLT- WINTER (both additive and multiplicative), Fit a
linear model with time series components, Fit a linear model with time series components (trends) and
Fourier series for seasonal components, ARCH, GARCH, GJR-GARCH, E-GARCH, VAR
Artificial neural network(ANN): Single–layer Perceptron, Multi-layer Perceptron, Radial basis
networks, Nonlinear autoregressive neural network(NAR)
RBS Credit Card Predictive Modeling
To understand whether the Royal Bank of Scotland(RBS) will lend the credit card to their respective
customer based on the credit score and total asset of each customer: Executed the logistic regression
model in R and further estimated the probability of each customer for providing the credit card.
Flipkart Predictive modeling
To identify the Brand ID using the other features (Category ID and Product Features): Executed the text mining
in Product features under DTM(Document Term Matrix) and Further Brand ID is being predicted using the
Support Vector Machine (SVM) tools in R
Tesco Item Set Analysis
To understand the most frequent item set purchased by customer in Teso; Market Basket Analysis tools
executed under Apriori Algorithm in R .
Star TV Viewers Comment Analysis
To understand the Youth comment on different topics (like IPL, Politics) being administrated under K- means
clustering tools in R.
EDUCATION
Madras School of Economics, Central University of Tamil Nadu, Chennai, India
Master of Science in Economics | July 2013 June 2015| CGPA: 7.1 (on the scale of 10)| With First Class
Distinction
 Relevant Coursework: Mathematics of Economic Analysis, Statistical Methods, Econometric Methods,
Applied Econometrics, Public Finance, International Trade
Ambedkar University, Delhi, India
Bachelor of Arts in Economics (Honors) | July 2010 April 2013| Marks Obtained: 57%
Jesus and Mary Academy, Darbhanga, India
All India Senior Secondary School Certificate Examination (+2), CBSE |April 2007 to March 2009 | With First
Division
Jesus and Mary Academy, Darbhanga, India
All India Secondary School Examination (Xth), CBSE | June 2007 | With First Division
PERSONAL INFORMATION
Date of Birth: March 16, 1992
Correspondence Address: HSR Layout, Sector 7, Bengaluru, Karnataka 560102

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resume _CHANDAN KUMAR

  • 1. CHANDAN KUMAR (+91) 9962434103 | chandankumar.dbg163@gmail.com A diligent and self-motivated professional backed with specialization in applied economics and data scientist SKILL HIGHLIGHTS Applied Econometrics Statistics Big Data Analysis R-Programming Language,SQL,EVIEWS, STATA, MICROFIT, MS Excel Languages: Fluent in English and Hindi CURRENT POSITION Brillio, Bengaluru, India,Analytic Consultant | July 2015 PROJECT US Food Predictive Modeling To understand the Weekly cases (box) delivered to the US food warehouse from different vendors; 100 different SARIMA-X models had been applied in R software to predict the cases for each 100 US food warehouses. The external factors like temperature, snowfall, inflation, GDP, holiday calendar being also used for forecasting the Weekly cases demand for US food warehouse. Forecasting tools: Statistical: ARIMA, SARIMA, SARIMA-X, HOLT- WINTER (both additive and multiplicative), Fit a linear model with time series components, Fit a linear model with time series components (trends) and Fourier series for seasonal components, ARCH, GARCH, GJR-GARCH, E-GARCH, VAR Artificial neural network(ANN): Single–layer Perceptron, Multi-layer Perceptron, Radial basis networks, Nonlinear autoregressive neural network(NAR) RBS Credit Card Predictive Modeling To understand whether the Royal Bank of Scotland(RBS) will lend the credit card to their respective customer based on the credit score and total asset of each customer: Executed the logistic regression model in R and further estimated the probability of each customer for providing the credit card. Flipkart Predictive modeling To identify the Brand ID using the other features (Category ID and Product Features): Executed the text mining in Product features under DTM(Document Term Matrix) and Further Brand ID is being predicted using the Support Vector Machine (SVM) tools in R Tesco Item Set Analysis To understand the most frequent item set purchased by customer in Teso; Market Basket Analysis tools executed under Apriori Algorithm in R . Star TV Viewers Comment Analysis To understand the Youth comment on different topics (like IPL, Politics) being administrated under K- means clustering tools in R. EDUCATION Madras School of Economics, Central University of Tamil Nadu, Chennai, India Master of Science in Economics | July 2013 June 2015| CGPA: 7.1 (on the scale of 10)| With First Class Distinction  Relevant Coursework: Mathematics of Economic Analysis, Statistical Methods, Econometric Methods, Applied Econometrics, Public Finance, International Trade
  • 2. Ambedkar University, Delhi, India Bachelor of Arts in Economics (Honors) | July 2010 April 2013| Marks Obtained: 57% Jesus and Mary Academy, Darbhanga, India All India Senior Secondary School Certificate Examination (+2), CBSE |April 2007 to March 2009 | With First Division Jesus and Mary Academy, Darbhanga, India All India Secondary School Examination (Xth), CBSE | June 2007 | With First Division PERSONAL INFORMATION Date of Birth: March 16, 1992 Correspondence Address: HSR Layout, Sector 7, Bengaluru, Karnataka 560102