Joydeep_CV

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JOYDEEP PAL
Father’s name: Joyanta Kumar Paul
Mobile: 09432305582
E-Mail: [email protected], [email protected]
Address: Surerpukur, Chandernagore, Dist: Hooghly -712136, West Bengal
Date of Birth: 28th June 1986
Brief Snapshot
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Offering nine months of experience in the area of Sales & Marketing, Business Development, implementing marketing
programs/ campaigns and Customer Relationship Management role.
Exposure in buildings sales & marketing strategies and contributing towards enhancing business volumes & growth.
Competence in SAS/BASE, SAS/SQL & MACROS.
Good knowledge in Reporting using MS-Excel/Excel VBA Macro & MS-Office.
Ability in preparing & giving presentations to prospective clientele base.
Exposure in conducting Market Research.
Domain knowledge in Media sector (Space Marketing).
An enterprising individual with good interpersonal skills with strong analytical, comprehensive problem solving abilities & a
willingness to learn.
Skills entail-
Strong commitment to integrity.
Oriented to learn rapidly and grow continuously.
Passion for continuous learning and applying best practices to achieve practical solutions.
IT Skills Programming Languages : C, C++, JAVA
 RDBMS, Data Structure
 HTML, Internet
SAS knowledge
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Ability in analyzing and coordinating data, generating reports, tables, listings and graphs
Optimize performance in Data Analysis
Statistical procedures like PROC FREQ, PROC MEANS, and PROC UNIVARIATE
Generate reports either in HTML, PDF or RTF formats according to the client specifications
Analyze the results obtained from various statistical procedures like PROC ANOVA, GLM and mixed models
Extensive use of PROC SQL to perform queries, join tables, etc.
Conducted analysis and generated tables, listings and graphs using SAS
Used “data _null_ and PROC REPORT” to generate the outputs
Environment: SAS/Base, SAS/Stat, SAS/Graph, SAS/SQL, SAS/Macros, MS-Excel, VBA
Exploratory data Analysis (EDA)
Descriptive Statistics of the variables using Proc Univariate Procedure
Problem of Estimation and Testing of Hypothesis, t-Tests , Chi – square Tests and Analysis of Variance
Correlation and Linear Regression, categorical data analysis and Logistic Regression
Segmentation techniques: Cluster Analysis
Factor Analysis
Time Series Analysis building ARIMA model
Base EXCEL, Advance Excel VBA macro
Work Exposure
Since September’12 to February’13 with Consim Info Pvt Ltd in Sales & Marketing role.
Key Result Areas
 Analyzing business potential, conceptualizing & executing strategies for driving sales.
 Handling sales & marketing operations, thereby achieving increased sales growth.
 Engaged in space selling.
 Coordinated with client to meet the goals and targets set by them.
 Involved in planning and strategizing, liaising with clients and maintained a healthy relationship with them
 Vendor management.
Since April’12 to August’12 with RICE GROUP (Media Division) in marketing role.
Key Result Areas
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Responsible for brand promotions and brand communication and constructing and implementing campaign in different
areas of Kolkata and also in the districts.
Analyzing business potential, conceptualizing & executing strategies for driving sales.
Handling sales & marketing operations, thereby achieving increased sales growth.
Engaged in space marketing.
Reviewing market response / requirements and communicating the same to the upper management.
Involved in planning and strategizing, liaising with clients and maintained a healthy relationship with them
Planning of Strategies & promotions to improve sales in the region
Scholastics
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2011: MBA from Eastern Institute of Integrated Learning in Management with 66.44%. Specialization - Marketing &
Systems.
2009: BCA from Chandannagar Institute of Management and Technology with 60.70%.
2004: XII (Higher Secondary) from Durga Charan Rakshit Bangya Vidyalaya with 54%.
2002: X (Secondary) from Sri Aurovindo Vidyamandir with 67.87%.
Corporate Internship
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Project Title: Telecom brands and its market share in retail.
Organization: Simoco Telecommunications (South Asia) Ltd.
Duration:
45 days
Description: A market research to find out the market share of the leading mobile handset makers along with Simoco and
also mobile service givers in and around Kolkata.
Projects and Case Studies on Analytics at OrangeTree Global
Project on Credit Risk Modeling
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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 Behavioral 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 Customer Satisfaction Survey
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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.
Project on Employee Satisfaction Survey
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Worked on a project related to HR domain to find out the key factors influencing Employee Satisfaction and the factors need to
be considered to retain the employees using Factor Analysis.
There were some step wise checking for the validity of the models base on some parameters once the final segmentations
solutions are reached.
The above mention step wise check includes Correlation coefficient matrix, KMO MSA Test, Scree Plot, Eigen values.
Construction of Final factors from final data set by suitable techniques.
Project on Time series Forecasting base on Airline data
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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 Time series Forecasting base on Sales data
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Worked on a project related to sales of an organization where future sales could be forecasted using the various techniques of
smoothing out the random fluctuations.
The main methodologies used for smoothing out the random fluctuations were simple exponential smoothing and winter’s
exponential smoothing.
We have also used Autoregressive process to do the forecasting for the above mentioned project.
Project on segmentation in Sports Analytics
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Worked on a project which segregates various cricket players based on the performance matrix provided in the data. There were
information given for the batsmen and bowlers. The objective of the study was to find out the segments having best batsmen
and best bowlers from the data.
Cluster Analysis technique was applied to do the segmentation on the data and this included both agglomerative and divisive
hierarchical clustering to get the initial idea about the number of clusters in the data.
After getting the number of clusters, K – means clustering techniques was used to identify the players in the clusters.
Finally there was a univariate Analysis done to profile the cluster and then interpretation the clusters to reach at a final solution.
Project on Testing of Hypothesis on Clinical data
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Worked on a case study about Blood Pressure of different respondent pertaining to Clinical Research to check whether the
average blood pressure in the population was equal to hypothesized value or not.
This was done by first checking the normality of the variable under consideration and then doing of one sample t – test on it.
We have constructed confidence intervals and then check whether true population mean value falls in the derived interval or
not.
Project on Testing of Hypothesis on Automobile data
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Worked on a case study related to Automobile Industry for finding out which Automobile company is more efficient in product
delivery.
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We have applied Analysis of variance (ANOVA) technique to do the analysis and the data was collected from three leading
Automobile company on the delivery speed.
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We have performed a thorough F – test on the data to find out which one is more efficient in their delivery speed.
Project on Analysis of Two-Way ANOVA on Clinical Trial Data related to weight gain of individuals
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The project involved a Two – way analysis also which talk about an interaction between the two factors i.e. diet amount and diet
type. We tried to find out whether there exists any type of interaction effect in the data on weight gain of individuals or not.
We have applied the Tukey’s mean test to find out which categorical variable, out of ‘diet type’ and ‘diet amount’ has a
significant impact on the weight gain of individuals.
Beyond Academia
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Represented my class in cricket and football.
Active organizer of cultural festivals held in my college.
I do hereby declare that, all the above statements are true and correct to the best of my knowledge and belief.
Place:
Date:
Yours sincerely,
Joydeep Pal
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