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Click here or scroll down to respond to this candidateCandidate's Name
Chesterfield, NJ (Street Address ) 236-5746 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLEExperienceHOME DEPOT, Plumbing and Freight Associate Jan 2022 Mar 2022Assisted customers, kept aisles organized, and replenished with productOn overnight shifts, stocked merchandise onto shelves and overhead storageHBO, INC., Manager Program Planning Analysis Mar 2007 Mar 2021Supported analytical needs of program planning, scheduling, and upper managementDeveloped GO, On-Demand Volume summaries analysis and year-end recapsFilm inventory and electronic sell-through usage, inventory analysis, and ad-hoc requestsHBO, INC., Project and Senior Business AnalystProvided support for over forty non-linear domestic/international services to key business unitsHeavy interaction with business and technical staff for development of new business venturesAssisted in preparation and review of project requests and requirementsPrepared user acceptance test plans with extensive application testing and user trainingFRAGOMEN, DEL REY, BERNSEN & Loewy, LLP, Sr. Business Objects/Crystal Reports Consultant Nov 2006 Feb 2007Supported the largest legal immigration firm in the US by resolving tickets, development work in Business Objects and Crystal reports, and SQL ServerFunctioned as Administrator posting, and scheduling reports as requested to Business Objects serverJPMORGAN CHASE, Database Management Jul 2005 Oct 2006Development DBA created and maintained processes for creating and loading Oracle tables with data acquisition from originating and servicing systems plus ad-hoc requestsPL/SQL, Oracle objects, Unix Shell scripting development and creation/loading of reporting tablesCreated required documentation for integration into user acceptance and production environmentsSCHERING-PLOUGH CORPORATION, Senior Systems Analyst/Designer Sep 2003 Jul 2005Worked closely with the business community, technical staff, Project Planning Office, and vendors to develop and implement enterprise-wide business solutionsThese solutions improved legal matter management, legal expense tracking with an expected saving of $5 million-a-year, and provided budget informationHelped define functional requirements, data mapping, technical analysis, and evaluation of off-the-shelf softwareInstalled, configured, and troubleshot vendor applications on Web Servers and VMWareJPMORGAN CHASE, Business Interface Analyst Apr 1997 Sep 2003Worked on one of the most highly visible projects having third-part vendors replace the legacy loan originating systems with one central originating systemProduced documentation in compliance with company standards including required processes, design approach documents, data mapping, and delivery methods in support of each interfaceJPMORGAN CHASE, Senior Programmer/Analyst Loan Analysis and Structured FinanceCreated batch processes for data acquisition, data feeds using Oracle, PL/SQL and Unix Shell scripts for Loan Analysis and Structured Finance business partners plus report designConverted applications to use Unix and Oracle company standards to improve system stabilityJPMORGAN CHASE, Senior Programmer/Analyst Data WarehouseFull project life cycle development of a centralized data warehouse utilizing Oracle and Unix Shell scripting to extract data from the HP3000 systemHigh-level business/technical meetings and heavy interaction with Database and Unix groupsJPMORGAN CHASE, Senior RPG Programmer/AnalystExtensive programming Year 2000 RPG remediation on HP3000 systemDesigned new program proposals using RPG and collaboration with business partnersEducationRutgers Online Data Science Bootcamp Nov 2021Data Science Certificate of CompletionRutgers College of Engineering May 1991B.S. in Mechanical EngineeringRutgers Newark College of Arts and Sciences May 1987B.A. in Mathematics and EnglishSkillsMicrosoft Office products, Excel, VBAOracle, SQL, PL/SQL, PostgreSQL, MongoDB, ETLPython, Pandas, NumPy, MatplotlibTableau, Business ObjectsAPI, HTML, CSS, BootstrapSupervised Machine Learning, Unsupervised Machine Learning, and Deep Learning |
