OBJECTIVE:

Seeking opportunities in Research & Analytics, and Business intelligence, preferably in the Research & Analytics/Market Research/Business Analytics/Big Data/Data Warehouse Sector.

SUMMARY:

• A dynamic professional with 12+ years of rich experience in the areas of Business Intelligence, Market Research and Software development
• Experience with different business sectors (Digital Marketing, Retail, Manufacturing, Media, Finance and Banking Service, Pharma market solutions, and Political & Social).
• Certificated SAS Base Programming & Confidential SPSS Modeler Professional.
• Experience in SAS BI (SAS Management Console, SAS Data Integration Studio, SAS Forecast Studio, SAS Enterprise Guide, SAS Decision Manager, SAS Scoring Accelerator, SAS Model Manager, SAS Stored Process, SAS Visual Analytics, SAS Enterprise Miner, Platform LSF), Google Analytics, Analytics in core analytical software like SPSS, SAS, and R. Market Research software like Win cross, Quantum Conversion Model, Needscope, Survey Programming software - Sawtooth. Report generation package like Confidential Symphony, MS Office (Word, Excel, Power Point, and Visio).
• Sound knowledge in Big Data, SAS (OLAP Cube Studio, Web Reporting Studio, Information Map Studio, Information Delivery Portal, BI Dashboard, Visual BI), SPSS (Modeler, Amos), Data Warehouse Concepts & Data Modeling and Data Warehouse Tools.

WORK EXPERIENCE:

Confidential

Data Scientist cum SAS Administrator

Responsibilities:

• Creating reports for quarterly major, re-projection, and pay projection based on affinity level and all demographics.
• Created models for retention estimation, average revenue per daily active user, and lifetime value for PCH products.
• Leading company’s initiative to create automated visualized dashboards for C-suite
• Creating analytical platform facilitate to creating data mining models for other users.
• Migrate Data mining models from PC Environment to SAS Model Manager.
• Migrating SQL codes to SAS queries.
• Integrating and migrating on new SAS Model Manager and Visual Statistics environment from PC Machines.
• Creating automation task basis on existing code and new projects from scratch.
• Creating data marts from data warehousing to Analytical Modeling Platform server without impact with business users activity.
• Performing Administration tasks for creating profiles and registering the models and maintain models.
• Managing production and development SAS Enterprise Model Manager Environment.

Tools: SAS BI (BASE, STAT, SQL, Connect, Access, Macros, Management Console, Enterprise Guide, Stored Process, Enterprise Miner, Scoring Accelerator, LASR, Decision Manager, Model Manager, Environment Manager, Visual Analytics, Google Analytics, Tableau)

Confidential

Sr. Application Consultant

Responsibilities:

• Incorporates retail product information, the Customer and the transaction data
• Creates a Consolidated view of the customer by combining different information sources
• Discovers associations / co-occurrence relationships between products bought by customers in each specific segment. Improve customer satisfaction while increasing basket size by identifying cross-sell and up-sell products for each customer
• Analyzed Resource and Capacity Management data to optimize the hiring process by minimizing timing to identifying unfilled resources

Tools: Confidential SPSS Modeler (data Mining), Confidential SPSS Text Analytics, Social Media Analytics, R, MS OFFICE

Confidential

Responsibilities:

• Demand driven plan using time series statistical forecasting techniques.
• Extracting data mart's from SAP mercury cube and transposing into SAS data mart's of each line of business.
• Using the macro-economic (Global Insight Data) and determine the best inputs to SAS Model and work with overrides that may affect short or long term forecast.
• Marketing and finance cross functionality's during the outlook cycles, month-end and quarter end process.
• Generating forecasting revenue and volumes to fit the needs of different line of business, and Summarizing revenue and volume based on line of business.
• Adjusted forecast freight volumes to the lower, FSAC (Freight Station Accounting Code) level of details using allocation new freight volume.
• Restoring metadata based on the system requirements.
• Validating SAS Environments upgrades and Monitoring the SAS Server's for business user effectiveness.

Tools: SAS BI (BASE, STAT, Macros, Management Console, Data Integration Studio, Enterprise Guide, Stored Process, Forecasting Studio, High Performance Analytics, SAS Data Surveyor for SAP)

Confidential, Phoenix

Responsibilities:

• Creating data marts from data warehousing to Rapid Analytical Modeling Platform server without impact with business users activity.
• Creating analytical platform facilitate to creating data mining models.
• Maintaining different score card models in credit and merchant level.
• Monitoring and Maintaining SAN (Storage Area Network) for business user effectiveness.
• Involving Metadata backup and restoring activity.
• Upgrade the SAS Environments include hotfixes, maintenance upgrades.
• Integrating and migrating on new SAS grid environment from Confidential P6 to Confidential P7 machine.
• Creating the Project Report, Project requirement details & report, Test plan and Test conditions for the projects.

Tools: SAS BI (BASE, STAT, SQL, Connect, Macros, Management Console, Data Integration Studio Enterprise Guide, Stored Process, Enterprise Miner, Platform LSF, RTM, Grid Computing), UNIX

Confidential

Sr. Application Consultant

Responsibilities:

• Preparing the Project and transition plan, Predict the target sales and marketing efforts and more effectively pursue market opportunities for retail industry.
• Arriving at the right statistical methods and models, creating the enterprise reporting, statistical tools and analyzing the research findings, statistical reports and generation through programming in statistical packages.
• Successful market and competitive Due-Diligence and assessment of launch readiness for a retail measurement science launching new circle operations in TCS.
• Expertise with universe estimation, sampling design, and projection factors creation and updating the database, weighting the consumer panel data, and analyzing the Retail and healthcare large database, creating and maintain the score cards, and resolving the Ad-hoc query .
• Handled Analysis & Data Management for different types of study including Impact Analysis Competitive Intelligence, Brand Image/Market Mapping Studies, and Competitive Studies.

Tools: SAS/ Base, SAS/ Macros, SAS/ Access, SAS/ Connect, SAS/ STAT, SAS/SQL.

Confidential, Phoenix

Responsibilities:

• Predict the empower biotech and pharmaceutical manufacturers can better target sales and marketing efforts and more effectively pursue market opportunities for their products. Arriving at the right statistical methods and models, statistical tools and analyzing the research findings, statistical reports generation through programming in statistical packages
• Client interaction with understanding Project Requirements and Specifications. Handled projects independently and along with Team, also successfully knowledge transferred (KT) from Wolters Kluwers Pharma Market Solutions to new circle of business.
• Doing Quantitative Technique treatments on data and other statistical operations viz.
• Descriptive Modeling, Predictive Modeling, Score card, Projection Modeling, Correlation & Regression Analysis, Logistic regression and Summary Tables.
• Handled Analysis & Data Management for different types of study including Impact Analysis Competitive Intelligence, Projection Modeling, Brand Image, and Ad-hoc Studies.
• Certified HIPAA Privacy Awareness, HIPAA Security Awareness

Tools: SAS/ Base, SAS/ Macros, SAS/ Access, SAS/ Connect, SAS/ STAT, SAS/SQL, TSO/ ISPF, JCL, Sync sort, DB2, File-Aid, QMF, SQL.

Confidential

Research Executive

Responsibilities:

• Preparing the Research & Project Plan, Arriving at the right statistical methods and models, statistical tools and analyzing the research findings and statistical reports generation through programming in statistical packages viz. SAS Base, SAS STAT, Confidential SPSS, Report generation through the package viz. MS OFFICE.
• Client interaction with understanding Project Requirements and Specifications.
• Handled many international projects independently and along with Team.
• Doing Quantitative Technique treatments on data and other statistical operations viz.
• Descriptive Models, Segmentation and Profiling, Significance testing, Reliability and Factor Analysis, Correlation & Regression, Cluster and Discriminant Analyses, and Summary Tables.
• Handled Analysis & Data Management for different types of study including Competitive Intelligence, Brand Switching Study, and Brand Image/Market Mapping Studies.

Confidential

Responsibilities:

• Starting from Questionnaire Design through Report Generation.
• Arriving at the right statistical methods and models, statistical tools and analyzing the research findings and statistical reports & generation through programming in statistical packages Confidential SPSS, R and MS Office and Report generation through the package viz, PowerPoint.
• Client interaction in understanding Project Requirements and Specifications
• Doing Quantitative Technique treatments on data and other statistical operations viz.
• Descriptive Models, Predictive Modeling, Segmentation and Profiling, Brand Switching Models, Significance testing, and Summary Tables.
• Handled Analysis & Data Management for different types of study including Syndicated Study Competitive Intelligence, and Competitive Studies.
• Awarded “Knowledge User” POB for my consistent performance of SPSS Programming in various kinds of projects.

Confidential

Research Analyst

Job Responsibilities:

• Preparing the Project & Analysis Plan, and Writing & validating Complex Market Research/Statistical tool Programming to generate the reports & assisting other market researcher.
• Interacting with client and researcher for understanding their requirements
• Creating the survey programming and handled many international and domestic projects independently.
• Research experience with B2B and B2C clients spans business sectors that include Finance and Banking, Service, Manufacturing.
• Experience with Universe estimation, Sampling Design, Projection factors creation and updating the database, weighting the panel data.
• Expertise with universe estimation, Sampling Design, weighting the consumer panel data, and market dynamics.
• Statistics & Analytics: Arriving at the right statistical methods and models, Statistical tools and analyzing the research findings and Statistical reports generation (analysis) through programming in statistical packages viz. Confidential SPSS, SAS Base, SAS STAT, SAS ODS, MS Office and Win Cross. Creating survey programming through in survey software viz. Sawtooth.
• Doing Quantitative Technique treatments on data (metadata) and other statistical operations viz.
• Descriptive Models, Significance Testing, Factor Analysis, Correlation & Regression, Key Driver
• Analysis, Conjoint Analysis, Correspondence Analysis, Perceptual mapping, Cluster & Discriminant Analysis, Kano Models and Summary Tables.
• Handled Analysis & Data Management for different types of studies that include Brand Power & Brand Engagement / Brand Equity, Price-Tradeoff, Syndicated Research, New Product Development Competitive Market Analysis, Segmentation, Mystery Shopping, Customer Satisfaction & Loyalty Measurement, and Employee Engagement & Commitment.

Confidential

Data Analyst

Job Responsibilities:

• Prepare the Analysis Plan and Writing Complex Market Research/Statistical Tool (Quantum & Confidential SPSS) Programming to generate the reports and assisting other market researcher, writing and validating the program. Interacting with international client and researcher for understanding their requirements. Handled many domestic projects independently and along with Team.
• Research experience with B2B clients spans business sectors that include Retail ( Confidential Manufacturing, Media, and Political & Social.
• Expertise with universe estimation, Sampling Design, weighting the consumer panel data, and market dynamics.
• Statistics & Analytics: Arriving at the Statistical reports generation (analysis) through programming in statistical packages viz. Confidential SPSS, Quantum, MS Office, Conversion Model and Needscope.
• Doing Quantitative Technique treatments on data (metadata) and other statistical operations viz.
• Descriptive Models, Significance Testing, Factor Analysis, Correlation & Regression, Discrete Choice Model, Correspondence Analysis, Perceptual mapping, Cluster Analysis, and Summary Tables.
• Handled Analysis & Data Management for different types of study including Syndicated study, Ad-Eval, Pack Test, Product Study, Opinion Poll, Blind Test, Usage & Attitude (U&A) studies, and Discrete Choice Modeling.