Summary: Graduate student with * years of professional experience as a data analyst seeking full time positions in the field of Data Analytics/Business Intelligence. Highly adaptable, proactive individual capable of completing tasks well within the stipulated time. Strong expertise in data analysis using SAS, R, SQL, Tableau and proficient in Data Mining, Statistical data mining.

Strengths: SAS Programming, Base SAS, SAS Macros, SAS Functions, SAS Enterprise Guide, SAS Enterprise Miner, SAS Datasets, SAS system reporting, SAS/STAT, SAS/ODS, SAS/CONNECT, Data Analysis using R, SQL, Python,Excel, Data Mining, Text Mining, Predictive Analytics, Math, Business Statistics, linear regression, logistic regression, Machine Learning, Time Series Analysis, Visualization using R, Tableau and Excel, Quality Assurance, Sentimental Analysis, Weka, FACETS, EDI files, IBM Rational Clear Quest,HP Quality Center, Metavance.

Education:

1) Muma College of Business, University of South Florida, Tampa, FL. Aug 2015- Aug 2016

Master of Science, Management Information Systems –Analytics and Business Intelligence GPA: 3.87/4

2) University College of Engineering (A), Osmania University, Hyderabad, India. Sep 2009-May 2013

Bachelor of Engineering, Electrical Engineering GPA: 3.52/4

Related Project(s):

1) A/B Testing Analytics (using R studio): Mighty Hive Project (Aug 2015-Dec 2015)

Analyzed the results of advertising experiments of Advertising Technology Company "Mighty Hive" by determining the impact of Ad experiments based on whether a customer purchased or did not make a purchase.

Ran a Regression model to determine the impact of retargeting campaign on the response time.

WORK EXPERIENCE:

1) AML Optimization Statistician/Analyst at Citigroup, Tampa, FL (10/2016 –Present)

Data preparation and validation followed by building of a scoring model using logistic regression/ quantitative methods using SAS, SQL.

Performing data-driven analysis and creating reports. Application of quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration.

Data validation, identifying data quality issues and working with Technology to address the same.

Analyzing and interpreting data reports, drawing conclusions and recommendations which answer specific business needs.

Documentation of solutions and results presentation in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary.

Technologies /Tools: SAS (SAS Enterprise Guide), SAS/STAT, SAS/CONNECT, SAS/SQL, SAS/ODS. Hive DB, Oracle DB. Mantas and Citi Case Management Tools (ACTIMIZE)

2) Graduate Assistant – Data Analyst/Statistics (Muma College of Business, University of South Florida, Tampa) (01/2016-08/2016)

Performed data cleaning by eliminating noise from the data and generated descriptive statistics. Conducted Univariate, Bivariate analysis and visualized it in SAS 9.4/ R Studio. Also, conducted linear regression analysis as well as cluster analysis frequently.

Taught the course Business Statistics / Data Analysis using SAS Studio /Statistix for undergraduate students at department of Information Systems and Decision Sciences, USF, Tampa.

3) Programmer Analyst at Cognizant Technology Solutions, Hyderabad, India. (9/10/2013-6/30/2015).

Involved in developing, testing, writing programs as well as creation of reports in SAS as per the requirements.

Carried out data cleansing activities through analysis and eliminated unwanted data (noise) using various procedures in SAS such as PROC FREQ, PROC MEANS, PROC UNIVARIATE etc. and SAS Macros.

Created new data sets from raw data using various import methods and modified existing data sets utilizing set, merge, match-merge, sort etc. statements. Applied formats to SAS variables.

Generated customized reports in various formats (HTML, RTF, PDF etc.) using PROC REPORT, PROC SQL, PROC TABULATE and SAS ODS. Documented and tested component programs efficiently and included them in the integrated reports.

Built analytical applications using SAS Enterprise Guide with the client’s rich administrative healthcare data such as: Measuring C-Section Rates across various hospitals, identifying top reasons for Emergency Room utilization. Built outreach reports for identifying children who miss their checkups.

Created reports and dashboards in SAS, Tableau. Automated reports with macro variables and created documentation with SAS Enterprise Guide. Developed linear, logistic regression models with our client’s data.

Developed parametric, nonparametric models .Compared models by applying transformations, interactions, dummy variables etc.

Rewards and Recognitions:

SAS Certified Base Programmer for SAS 9 Credential – License Number : BPO58553v9

Joint SAS/USF Certification in Analytics and Business Intelligence.

Standardized scores: GRE= 316, TOEFL=107

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