ANGELINE MARTIN https://www.linkedin.com/in/martinangeline

****, **** ********** *****, ** 85281 (480)(678)(0057) act708@r.postjobfree.com SUMMARY:

Graduate Business Analytics Student with extensive experience in SQL and JAVA coding, trained in Statistical techniques, proficient in Mathematics and Problem solving strategies. Resourceful and versatile analyst seeking to implement my technical and statistical skills into business analytics.

EDUCATION:

Masters of Science in Business Analytics-3.6/4.0 May 2016 W.P Carey School of Business at Arizona State University Bachelor of Engineering in Computer Science-7.9/10 June 2013 St. Joseph’s College of Engineering at Anna University PROFESSIONAL QUALIFICATIONS

Programming Languages: C,C++,Core Java, JSP, Servlets

Statistical Programming Languages: Python, R

Data Analysis and Software Tools: Excel, Decision Suite, Minitab

Data Visualization Tools: Tableau, COGNOS

Document Generation Tools: EMC xPression

Database Tools: MySQL, SQL Server and good knowledge in SQL and OLAP queries

Data Mining Tools: SPSS Modeller, Microsoft Azure

Statistical Skills: Optimization, Linear Spread sheet Modelling, Predictive Modelling, Map Reduce, Feasibility Analysis, Regression Modelling, Inferential Statistics, Data Visualization, Quality Improvement, Hypothesis Testing

Software Methodology: SDLC- Waterfall, Agile

EXPERIENCE

Programmer Analyst – Enterprise Content Management Cognizant Technology Solutions August 2013-June 2015

Collaborated with ACE insurance, UK based company to develop an online portal through SDLC methodology.

Part of Development and Innovation team.

Analysed the business requirement documents and performed feasibility analysis.

Designed the XML structure for the code.

Developed code using JAVA and SQL and used EMC Xpressions Tool to automate the document generations.

Created Unit Test Case documents and performed System Integration Testing.

Performed Root Cause Analysis for the issues raised by the client.

Restructured the code based on the change requests. PROJECTS

CAPSTONE PROJECT January 2016 – Present

ASU Applicant Pipeline Analysis

Performed data pre-processing and descriptive analytics on six years’ worth of historical data and developed a predictive model to determine the target areas in future using R language, Tableau and Microsoft Azure ML.

Currently working on the recruitment process of the admission services to identify the efforts that have potential growth and poor returns and to develop methods to perform cost benefit analysis on the same. DATA DRIVEN QUALITY IMPROVEMENT September 2015 – November 2015 ASU Bookstore Staffing Optimization

Collaborated with a team of three students over a period of three months to improve process in ASU Bookstore using DMAIC methodology.

Using the historical and current transactions per hour, the transactions pattern was analysed and new solutions were presented to improve staffing, reduce customer wait time and improve check out. MACHINE LEARNING October 2015 – November 2015

Social Media Personality Prediction

Collaborated with a team of three students to solve the kaggle problem using Microsoft AZURE.

Using the classification algorithm techniques in machines learning, we trained the model to predict the social media personality and achieved 86% accuracy.

APPLIED PROJECT in UNDERGRADUATE January 2013 - May 2013 Vision Based Cursor Control for Handicapped

Collaborated with a team of two engineering students over a semester to create an application using NOUSE technology.

Created the application using Advanced JAVA and tested using handicapped people.

Presented the application to Professor, and was graded “A”.