Resume

Sign in

Data /SAS Analyst

Location:
Bellevue, Washington, United States
Posted:
August 30, 2017

Contact this candidate

PROFESSIONAL SUMMARY

Dedicated and motivated Analyst seeking a position in a fast-growth company where I bring my strong dedication, responsibility and motivation to utilize and enhance my skills. Master of Science Graduate in Statistics, a strong team player, detail oriented and hard working with knowledge of Retail Management, Business Analysis, Telecommunications, Online Services/Customer Services, Statistical Analysis using SAS & R programming and Data Analysis.

SKILLS

Business Analysis

SAS, R, Python

MS Office Suite, MS Project

SQL

Data analysis

Excellent problem-solving abilities

Fast Learner

Excellent communication skills

CERTIFICATIONS

DATA SCIENCE SPECIALIZATION - May'15

Specialization completed from Johns Hopkins University through Coursera.

Series include: R programming, Exploratory Data Analysis, Statistical Inference,

Regression Models, Developing Data Products, Practical Machine Learning.

SAS Base Programmer for SAS9:

Certification completed in June'12 from SAS institute

Business Analysis Training: Mar'13 Training completed from Requirementsinc.

PROJECTS AND WORKSHOPS

SAS Programmer Analyst, Bank of America- Jul’16

Worked closely with data modeling team and management like Marketing managers, Campaign managers, financial managers etc., to analyze customer related data, generate custom reports, tables and listings

Worked closely with Business Partners in DMCE marketing team and improved/automated the Food Weekly and Monthly process efficiently using Base SAS, SAS Macro and Shell scripts.

Developed SAS code using SAS/BASE, SAS/Macro to clean the invalid data from the database while reading the data from Oracle, TERADATA, Excel, XML and flat files into SAS software.

Extract and Transport data from DB2 and Oracle tables in UNIX. Extract huge volumes of data from legacy systems and uploaded into Oracle using SQL*Loader.

Automated SAS jobs running on daily/weekly/monthly basis using SAS/BI, SAS Macro and Unix Shell Scripting

Extensively used SAS procedures such as Print, Report, Tabulate, Freq, Means, Summary, Transpose and Data _Null_ for producing ad-hoc and customized reports and external files.

Generated custom reports with line sizes, page breaks, Header message, and Bottom message using PROC SORT, PROC PRINT, and PROC REPORT.

Debugging SAS programs using data _null_, Put statements and using data step debug.

Analyzed data using various statistical procedures like PROC SUMMARY, PROC MEANS, PROC FREQ, PROC UNIVARIATE, PROC REG, PROC GLM and PROC ANOVA.

EDUCATION

Master of Science: Statistics, Apr'04

Andhra University Visakhapatnam, AP

Bachelor of Science: Computer Science, Statistics, Apr'02

Gayatri Vidya Parishad Visakhapatnam, AP

WORK HISTORY

CRM / Operational Analyst, 08/2005 to 05/2007

Vodafone – Visakhapatnam, India

Responsible for Customer Relationship Management (CRM) system integration.

Ensures all functions of CRM system effectively work with all other applications and operating systems while being familiar with a variety of the field's concepts, practices, and procedures.

The Operations Specialist is responsible for ensuring that the Vodafone postpaid numbers are activated and Dealers, Dealer support staff, and Employees are compensated in accordance with outlined plans and models.

Process monthly commission payments for assigned customers in an accurate and timely manner that follows documented compensation plans to the letter.

Actively participate in CRM sprints and daily stand up meetings.

Serve as a knowledge resource for best practice use of the solution for customers.

Perform impact analysis for requested changes/additions.

Remain up-to-date on new trends and features in Vodafone.

Monitor, communicate and incorporate the Vodafone product roadmap into the enterprise.

Clearly communicate results through multiple formats (trend summaries, response analysis, scorecards, and presentations).

Accurately measure and evaluate effectiveness of CRM targeting strategies across a year, season, piece, channel, or customer group.

Gather report and analyze website and email metrics (visits to website, conversion rates, exit pages, click to convert rates, etc.) Evaluating the customer data and offering them VAS (Value Added Services).

Update the Reconciliation Tracking database with results as work is completed.

Evaluate new components, determine the proper business rules to apply and interface with the System Analysts and Management to automate functionality within the system.

Business Systems Analyst, 04/2003 to 07/2005

Rashtriya Ispat Nigam Limited (Visakhapatnam Steel Plant) – Visakhapatnam, India

The mission of RINL is to be a continuously growing company by producing steel of international standards as well as by strategic diversifications of products and services with concern for customers.

Planned, Scheduled and conducted business requirements sessions, and documented them.

Understand their business processes, Joint Application Design (JAD) Sessions.

Conducted brainstorming sessions to aid high level analysis to identify key actor roles and functions and documented use case diagrams.

Conducted usability analysis in coordination with UI design engineers.

Led requirement review sessions with the staff members of the accounting department to ensure that product requirements respond appropriately to the needs of Quality Assurance Department, their managers and other end-users.

Assisted in the creation of the data model for the project, Reviewed test cases to ensure accurate and complete testing of user requirements.

Planned methods to collect information by developing survey questionnaire techniques based on survey design. Conducted and performed surveys by applying sampling techniques and counting responses.

Evaluated reliability of source information by weighting raw data and organized results for analysis.

Presented data by computer readouts, graphs, charts, tables and written reports.

Prepared and created conclusions and forecasts by analyzing and interpreting data summaries.



Contact this candidate