Jennifer Lin
2+ years data analysis and 4+ years in information technology experiences
Graduate Students in the University of Texas at Dallas
Dallas, TX
SUMMARY
• Strong attentive to sales, financial, healthcare data with 2+ years data analysis and 4+ years in information technology
• Strong focused and knowledgeable data analytics and business intelligence
• Strong proficiency in relational database management and SQL skills
• Expert communicator of complex technological concepts to professional and non-professional audiences
• Objective is to leverage data analytical skills in a data analyst or business analyst positions
SKILLS
Database Management
• SQL query (DDL, DML)
• HiveQL, Pig Latin in Hadoop
• Oracle Database
• NoSQL
• Mongo Database
Data Analysis
Analysis Tools: SAS 9.4, SAS Enterprise Miner, Advanced Excel
Business Analysis
Tableau Python R
Project Management
• Scrum, SDLC methodology
Data Visualization
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Other Languages
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Certifications & Training
- SAS Certified Base Programmer for SAS 9 see certificate
- Google Analytic - Reference: 1530310960
- Google AdWords - Reference: 4134107212
EXPERIENCES
Financial modeling， January 2017 – May 2017
• Analyzed the provided financial attributes in 10K+ nonbankrupt and 300+ bankrupt company to predict the likelihood of a company being bankrupt or nonbankrupt
• Applied oversampling technique to multiply the 300+ observations in bankrupt firms to 10K+ observations to collect, clean, and balance the dataset for creating a more accurate model
• Achieved a predictive model with 40% accuracy by applying logistic regression to choose significant variables
Restaurant Order System – Software Analysis and Project Management，January 2016 – May 2016
• Developed an order system for Thai Orchid restaurant to resolve complex business issues
• Implemented business process by following SDLC methodology through initiation, planning, requirement analysis, design and testing phases and build a prototype for an order system
• Documented User Stories, Sequence Diagrams and Use Case Diagrams to show the process of taking orders
Sales Promotion Analysis ，August 2015 - December 2015
• Analyzed one year transaction and demographic data in Kroger stores to assist Pepsi managers to develop marketing strategies to promote sales in different regions
• Concluded the significant factors which have influence on Pepsi sales by executing Clustering Analysis, Linear Regression, Factor Analysis and Decision Tree
Information Analyst - Hung Chin Fishery Co, Ltd., Kaohsiung, Taiwan，July 2013 - July 2014
• Proposed the location of fish shoal suggestions through time series analysis, increased in 15% capture volume
• Trained 5+ staff the application of physical equipment and software to decrease 10% in misapplication cost
• Worked closely with the company to identify customer needs and demands to improve customer satisfaction
EDUCATIONS
Business Analytics, The University of Texas at Dallas, August 2016 - December 2016
• Specialize in IT and Data Science tracks
Information Technology Management, The University of Texas at Dallas, August 2015 - May 2016
• Specialized in Enterprise System track
Information Management, Tung Hai University, August 2009 - June 2013
• Specialized in E-Commerce track
OTHER EXPERIENCES
Member, Christian Mosaic Home Group, The University of Texas at Dallas, August 2016 - Present
Volunteer, Richardson Animal Shelter, July 2016
• To take care of stray dogs and cats
IT Volunteer, Guo Ann Elementary School, July 2012
• Led 5+ members to teach 50+ students to learn computer skills, physical fitness and other interests
Chief Coordinator of refreshment logistics, Tung Hai University, Feb 2011
• Led 20+ team members to sale hand-made food, increased club funding by 45%
Executive Secretary, Student Union in Tung Hai University, September 2009 - June 2011
• Responsible for scheduling meetings, documenting meeting minutes for all employees to get everyone in the same page
• Negotiated with local restaurants, increased 30%+ club funding and got 10% discount
• Conduct 10+ activities for students to let them adapt in a new university life efficiently and effectively
