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Click here or scroll down to respond to this candidateCandidate's Name
Email: EMAIL AVAILABLEContact Number: PHONE NUMBER AVAILABLEObjective Progress as a data scientist with a strong background in Python, Matlab, R, Tableau, SQL, Java and C++ along with excellent analytical skills, collaborative teamwork, driven character and a keen awareness for quality. EducationAugust 2014 - May 2018 University of Texas at Dallas Computer Engineering MajorAugust 2012 May 2014 Texas Academy of Math & Science at UNT Early College Entrance ProgramCertificationsCourseraStanford University Machine Learning Course Proactively applying supervised and unsupervised learning algorithms to solve classification and machine learning problems. Projects were completed using R and Matlabo Breast cancer detection projecto Hand-writing identification projecto Housing Model projectScrum AllianceCertified Scrum Master Attended a two-day scrum training and got certified PublicationUNT Math DepartmentDr. Jianguo Liu A Leave-One-Feature-Out Wrapper Method for Feature Selection in Data Classificationo Computational biology project on Internal Stomach bleeding endoscopy Technical SkillsProgramming Languages: R, Matlab, Python, C/C++, Java, SQL Software Applications: MS Office, Matlab, Qlikview, Tableau, Azure ML Studio, IBM Cognos AnalyticsOperating Systems: Windows, Linux, Unix, AIXWork ExperienceJan 2020 - PresentReal Estate Investment TrustData Scientist Developed a house pricing regression model to accurately predict fair transaction price of a property before it is sold. Implemented predictive models in R using machine learning algorithms linear regression and linear boosting algorithms and performed in- depth analysis on the Aug 2019 Dec 2019Mar 2019 Jul 2019Sep 2018 Mar 2019May 2018 Sep 2018structure of models, compared the performance of all the models and found tree boosting is the best for the prediction.o Applied concepts of R-squared, R.M.S.E, M.A.E., in the evaluation stage to extrapolate that the model was doing better than the previously used prediction technique. Designed easy to follow data visualization using Tableau software and published dashboards on web and desktop platformso Prepared multiple data visualizations using Tableau to reflect the data behavior over a period of time Analyze data using Azure Machine Learning to set up the experiments and creating Web services for the predictive analytics o Performed feature scaling, feature engineering and statistical modeling. Worked on writing complex SQL queries to query databases in performing Data analysis using window functions, joins, improving performance by creating partitioned tables Responsible for working with stakeholders to troubleshoot issues, communicate to team members, leadership and stakeholders on findings to ensure models are well understood and optimized.Tata Consultancy ServicesWalmart LabsBusiness Data Analyst Met regularly with product owner and SMEs to develop a data retrieval application that complied with CCPA Impro Ensured application production readiness by Dec 31st, 2019 o Holding daily stand-ups to discuss team progress o Continuous deployment to production every two weeks MichaelsIT Consultant As an IT team member, ensured a defect free customized Point of Sale Application o Executed automated test scripts which improved test case completion speed by 50%o Performance testing to ensure proper application response time during peak timeso Held presentations with the business to improve business operations by 30% Developed an automated card insertion procedure for the payment terminal MichaelsBusiness Analyst/Lead Our scrum team, onsite and offshore, replaced two in-house document retrieval applications with an Enterprise Content Management Application (Alfresco) Application was delivered based on agile framework o Extrapolating 50-60 business requirements into User stories o Implementing core scrum project management techniques to move seamlessly between business requirements and codeo Managing hundreds of test cases for proper functionality testing o Presenting proper user story validation upon production release Improved document retrieval time by 50% Implemented Alfrescos security aspect for content visibility Infor WFM Implementation (Workbrain)IT Consultant Upgraded Infor WFM application from 6.2.3.6 to 6.2.3.12 Worked with developers to ensure functional modules were implemented properly Collaborate with client and vendor teams to achieve accurate and on-time application delivery Working with development and testing teams to identify and fix defects o Application was delivered on a Waterfall model timeline Optimizing slow running queries for Cognos reports o Improved reporting performance by 60%Jun 2016 Aug 2016 SabreBusiness Intelligence and Data Analytics Internship Designed dashboards in QlikView that tracks equipment usage and flow o Decreased laptop misplacement by 15% within Global desktop support team Preformed in an Agile Environmento Increased team performance with daily morning scrum meeting |
