Data Analyst Resume
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Profile of Qualifications
- Expertise to provide end-to-end Analytic Support, including but not limited toInterpreting and Cleaningdata,Performing Statistical Analysisusing SAS and building Predictive Models along with Creating Reports for KPI’s and Making Strategic recommendations using well Written Executive Summaries, Data Visualizations and Presentations.
- Strong understanding of advance advanced analytic methods & business concepts including but not limited to Time series analysis,Cluster analysis and Segmentation, ANOVA, ANCOVA and Survival Analysis, Lifetime value Analysis, Customer Churn.
- Assess the validity, accuracy, completeness, and reliability of data
EDUCATION
Master of Science - Management Information Systems
Master of Science - Telecommunications Management
Bachelor of Engineering- Electronics and Telecommunication
EXPERIENCE
Data Analyst January 2010 - Present
Modeling the effect of weather patterns on infectious disease propagation
- Followed Cross Reference Industry Standard Process for Data Mining (CRISP-DM) methodology and took a two stage approach toidentify the types of storms that have significant impact on the provided DRGs, and built a predictive model to predict the number patients admitted.
- Used PROC SQL extensively to clean, arrange and merge/modify different datasets into single dataset
Propensity Modeling
- Built a propensity model that identifies customers most likely to Upgrade (buy a new handset from Company ABC).
- Performed market analysis to understand pricing/revenue needs of clientsand the roles of variables in large data sets containing up to 300,000 entries.
- Used Quantitative methods such as Univariate as well as Bivariate analysis w/ help of general linear models and carried out imputation of missing values, variable transformations, rejection of insignificant variables.
- Built decision trees, logistic regression, neural network and ensemble models and Evaluated model performance using ROC charts, cumulative lift and Score ranking charts and Implemented the optimized model to score the propensity model.
Credit Card Application Analysis
- Understood and analyzed credit worthiness of customers of bank considering applicants current relationship with bank.
- Performed Data Analysis using Contingency Tables, Two-Sample T-Tests, MV Tests and Regression Model.
- Graduate Assistant/Teaching Assistant forMSIS Department, OSU August 2007 May 2011
- Managed I.T. helpdesk of department in regards scheduling times and delegating responsibilities
- Mentored undergraduate students in basics of SQL
- Set-up lab environment for students to work on projects in lab and maintain lab connectivity with the network, Troubleshoot computer hardware, network and Internet connectivity, Disinfected Laptop/Desktop computers using Antivirus, Anti-Spyware and other tools.
COMPUTER PROFICIENCY
- SAS Enterprise Miner 6.1, SAS Enterprise Guide 4.2, SAS 9.2, JMP 9, SAP R3, MS Word, MS Excel, MS Access, MS Project, My SQL, SQL Server 2008, SPSS-Clementine, CART, Basics of C programming, SAS Macros, SAS Graph,Linux.
CERTIFICATIONS AND ACHIEVEMENTS
- Certified Predictive Modeler Using SAS® Enterprise MinerTM 6 May 2011
- SAS Certified Base Programmer for SAS 9 July 2011
- Graduate Certificate Business Data Mining May 2011
VOLUNTEERING AND LEADERSHIP ACTIVITIES
- Malaysian 24 Season Drum Troupe, OklahomaState University May 2008-Present
- Communications Officer to co-ordinate performance schedules and Update WebsiteMay December 2009
