JUWE CHEKWUME RAPHAEL - PDF document

JUWE CHEKWUME RAPHAEL
JUWE CHEKWUME RAPHAEL Mail: raphaeljuwe@gmail.com Mobile: K2S48PS7647272 GitHub: github.comOraphaeljuwe LinkedIn: ng.linkedin.comOinOraphaeljuwe Research Interests Sequential Pattern Mining and Knowledge DiscoveryL Neural Networks for Pattern Recognition Discrete algorithms for statistical data modeling and Probabilistic ProgrammingL Big Data AnalyticsL Machine learning AlgorithmsL Business IntelligenceL and Operations Research & Algorithms. Technology Summary Education & Credentials Research Experiences Programming experience: Data miningL RL CKKL JavaL HiveL Python (ScipyL Ipython)L LinuxOUnix Shell ScriptingL Crystal ReportL Enterprise Mash upL Service Oriented Architecture (SOA), Google Visualization and Graph API. Databases: PostgreSQL, MS SQL Server, MySQL. Development Environment : Orange Data mining, KEEL Data mining OBAFEMI AWOLOWO UNIVERSITY: Computer Science & Engineering. [Post Graduate Diploma (PGD) In Computer Science 2PQ4]. Research Areas: Data and Graph MiningL Machine learning Statistical Modeling Advisor: Dr. Anu AjayiL anuajayi@oauife.edu.ng UNIVERSITY OF BENIN: B.Sc (Hons) Microbiology (2PP6). Research Areas: BioinformaticsL Population geneticsL and Statistical Modeling Advisor: Prof. E Enabulele (Winnex Research &Development Laboratory) Topics: Data miningL machine learningL graph miningL anomaly detectionL social network analysisL business analytics and optimization Graph anomaly detection based on statistical modeling a) gAnomaly: a regularized mixture model for anomaly detection in graphs. LargeMscale graph indexing and query processing algorithms to efficiently and effectively index large graphs and answer queries are designed. Various types of graph indices and queries are studied. a) gDensity: labelMbased proximity search via density indexing; b) gIceberg: graph iceberg search via local aggregate scoring. Professional Experience SOFTMTECHNOLOGY LTD LAGOS STATE. (NIGERIA) Data Analyst / Software DeveloperL 2PQ2 (October) M Present DevelopedL and maintained support application programs for database administrationL systems & web applications using related machine learningL data miningL information retrievalL natural language processing tools. Analyse codes for system testing and debuggingL working with dot Net & JEE mobile and web frameworks. Accomplishments:  ReMengineered systems applications that fueled improvements in productivity

and efficiencyL for businessOclie
and efficiencyL for businessOclients operations for intelligent application computingL statistical methods using Random ForestsL clustering and classification algorithms. SVM etc.) for finding patterns O models from industrial data.  Integration of thirdM parties (open source) applications O frameworks with effective code reMuseL into solution & business critical applications dot Net communication model.  CollectingL collating and carrying out complex data analysis in support of management & customer requests. Also involved in reporting statistical findings to work colleagues and senior managers.  Prompt and regular database backupL SynchronizationL resolving integrity issues. CSL NETWORKS LTD ONDO STATE (NIGERIA) (NIGERIA COMMUNICATION COMMISION USPF CCC) Programmer & Project IT ManagerL 2PP8 (May) – 2PQ2 (February). Maintenance and support for clients’ application interfacesL handling analysis and programming of project requirementsL and management of company’s ICT infrastructureL providingL analyzing consumer marketO data researchL competitive intelligence toolsL customized consulting solutionsL and business modeling analysis. Accomplishments:  Developed new solutions that increased integration and scalability of the company’s products and services by 7PEL in cloud based development and deploymentL open source practices and frameworks.  Effective formulation of business developmental strategies that impacted positively on the company’s profit scaleL implementation of operational networking policyL with efficient bandwidth utilization & auditing.  Simulation of a web based tool written in PythonOR to manipulate statistical modelsL defining data needsL data qualityL and critique appropriate statistical analyses. CHRIST EMBASSY BENIN EDO STATE. (NIGERIA) Information Systems OIT Systems AdministratorL 2PP6 (November) – 2PP8 (March). Graduate Trainee and system administratorL in the Internet and Multimedia departmentL Working with web O mobile developers to create and maintain a robust application framework. Accomplishments:  Progressed through promotions, culminating in responsibility for Web-based application programming .Became adept in analyzing business client’s relationship needs.  Requirements gathering and analysis , developing and documenting technical designs in support of requirements (SRS,SDS), process, function, and data modeling, code generation and review, screen design and development, unit, integration, and regression testing, data conversion, and database support.  Prototype modeling, designing of algorithms formulation for cloud and SharePoint services.