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Sales Data Analyst

Location:
Briarcliff Manor, NY
Posted:
October 30, 2015

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Resume:

Contact No: 848-***-****

E-Mail : acr9m9@r.postjobfree.com

Summary

I am a data scientist with over 9 years of hands on experience in developing Market mix models, Propensity Models, Market Basket Analysis and Demand Forecasting models (using Statistical Techniques - Linear regression, Logistic regression, Holt-Winters forecasting etc.,) to drive ROI & Business Planning.

Experienced data science professional with good expertise on various Machine learning like supervised & unsupervised learning models & statistical techniques.

Retail, banking, marketing, telecom, Insurance, media, manufacturing & social media domain experience.

Experienced in Predictive Analytics Algorithms like clustering, Decision Tree, Linear Regression, Time Series, Association Rule mining, logistic regression, Naïve Bayes algorithms using R, SAS, SPSS and other analytical tools.

My interest and expertise lies in using R and statistical tools to analyze data and find patterns in it, and in communicating my findings in most efficient manner, mainly using visualization tools of R,SAS & Tableau.

Worked on RFI/RFP for prospective clients & coordinated with subject matter experts to create a comprehensive and persuasive response to customer-issued request for proposals in a pre-sales team and also demonstrating analytical capability to clients.

End-to-end project shaping experience(developing data, building predictive/explanatory models, develop strategies, monitor/validate strategies)

Experience in credit risk (application & behaviour) scorecards, marketing (response, attrition and uplift) models, Knowledge in Basel II implementation, Knowledge in Big data concepts & text mining.

Published Articles

Article on “A multistep Recommendation engine for efficient indirect procurement” published and presented at IEEE-IAC 2015. Refer link http://goo.gl/znrbWH.

IT Skills

Tools

SAS (Base, Stat, Macros, E-miner, ETL, EGuide, OLAP), R-Studio, Minitab, SPSS, SPSS Clementine PASW Modeller, Tableau 8.2, E-Views, MS-Office Tools

Scripting Languages

R, SQL

Databases

MySql, MS-SQL

Operating Systems

Windows

Awards/Achievements:

Recipient of the “Note of Appreciation for CoP-PO at Robert Bosch Engineering Solutions Ltd.

Professional experience

Organization

Robert Bosch Engineering Solutions

Duration

Jan ’13 – Jul’15

Title

Data Specialist (Data Analytics Team)

Responsibilities

Liaising with various business units to understand the analytics problems and design solutions

Streamlining and optimizing the procurement process for various stakeholders like user-buyer, logistics & finance to manage the operations effectively.

Analyzed the customer and employee feedbacks using analytical tools to improve customer & employee satisfaction (HR team).

Participated in Hackathon conducted by internal Bosch

Implemented Holt-Winters forecasting model for Texmo in Bosch project using R.

Creating analytics solutions for RBEI-I buy for product bundling, crib and non crib analysis with visualization using tableau readers

Published conference paper on IEEE-IAC 2015. Refer link http://goo.gl/znrbWH

Organization

Tibil Solutions

Duration

Dec’11 to Jan’13

Title

Lead Analyst

Client

Caterpillar Inc. (Worked in client location – Chennai, India)

Responsibilities

Parts forecasting to forecast part sales and also to understand the key indicators which are influencing the part sales using Holt-Winters method of forecasting and linear regression models.

Supply & order planning to forecast the total inbound lines for different facilities and also finding out the sources which are impacting a facility’s inbound and outbound lines.

Organization

Salorix

Duration

Jul’10 to Nov’11

Title

Senior Statistical Analyst

Clients

oHewlett Packard ( Worked in client location – Palo Alto, CA,USA)

oUniversal McCann

oBilleo Inc.

Responsibilities

At Hewlett Packard, used analytics to optimize sales of Palm smart phones.

For Universal McCann (Microsoft) worked to understand the media spent and their respective contributions to increase the awareness in cloud campaigning by implementing linear regression models to decipher the effect of various media spend and their respective contribution to the current perception.

For Billeo, the project’s aim was to do a cascade analysis for an online shopping support provider by developing a dynamic dash board with clear summaries and metrics to understand the overall business behavior.

Organization

Tata Consultancy Services

Duration

Jan’08 to Jun’10

Title

Statistical Data Analyst

Clients

oRite Aid, USA

oWoolworths, Australia

oCiti Union Bank Ltd, Chennai (Worked at client location)

oSouthernwater, United Kingdom

oAC Nielsen, USA (Worked at client location)

Responsibilities

Worked for Rite Aid, USA to understand sales behavior of clients stores across USA.

Worked for Woolworths, Australia in building a propensity model to understand customer responsiveness for various marketing strategies.

Worked for Citi Union Bank Ltd, Chennai in implementing the BASEL II standards.

Worked for Southernwater, a UK based water utility company in implementing CHAID to predict the likelihood of bill defaulters and segmentation model to understand the reasons for defaulting the bill.

Worked in AC Nielsen, USA as onsite transition manager to identify the process that can be offshore to TCS and also gathered the process which helped TCS to plan during subsequent phases of transition.

Organization

CSC Limited, India

Duration

Jan’06 to Dec’07

Title

Data Analyst

Clients

oLife Insurance Corporation of India

oMeritus

oWeb Analytics

Responsibilities

Worked for Life Insurance of India where the aim was to predict the discrete brand choice behavior of individuals or lapsation of an insurance policy or a loan default.

Worked for Meritus to identify the marketing drivers that influence sales or awareness by creating adstock and also the cannibalization effect on the sales, which will eventually help the clients to calculate the elasticity and contribution of variables in the model and take necessary business decision.

Worked for Web Analytics to identify the best combination of keywords, headlines and positions for the better airline ticket reservation and transaction marketing campaign through web using generalized linear models.

Academics

2003 – 2005 M.Sc. in Statistics from Bangalore University (Central University), Bangalore, India

2000 – 2003 B.Sc. in Mathematics, Statistics & Computer Science from SJRC Degree College, Bangalore, India



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