elitsa naydenova

Data Analyst & Business Analyst at IBM

* Business requirements analysis and validation * Solutions design * Functional specifications preparation * QA and development teams support and coordination * INSIS Life and UL (unit-linked product) configuration - all modules * UAT support * Key users training * Training materials and user guides preparation * Change requests and bugs communication to vendor * 2nd level IT support to Romanian and Bulgarian clients

Participated in MTPL insurance campaign

* Carried out proof of concept data analysis for credit fraud identification for payday loan providers * Acted as a lead analyst on Fraud projects supervising junior analysts * Performed value-added analysis of potential new data sources * Prepared credit risk predictive models * UK credit bureau new functionalities testing – test cases design, test automation with SAS macros, test results reporting and error analysis * Created structured samples from client data, CAPS, CIFAS and Detect necessary for data analysis and data quality testing * Prepared ad-hoc data extracts from Hunter database as requested by clients * Reporting marketing effectiveness of websites, consumer insights and competitor benchmarking via Hitwise for the UK * Customer segmentation for Club Canvasse * Monitoring offer effectiveness for telecoms * Prepared and conducted internal SQL and SAS trainings within the department

* I participated in implementation of banking software and data migration projects for client Banks in Serbia and Romania. * Responsibilities included but were not limited to: * Configuration of T24 accounting module * Configuration of client-specific modules * Business requirements analysis and validation * Preparation of functional specifications * Data analysis and data quality validation including General Ledger reconciliation * Conceptual design of data quality reports, data migration and data validation programs * Test cases preparation * Unit testing (manual) and test reports preparation * End users support during UAT phase * 3rd level IT support

* Responsibilities: * coordinating Client Services and Review teams * data entry including extensive work with databases and spreadsheets * tracking applications in terms of completeness and status

Courses: The Data Scientist's Toolbox - grade 100% R Programming - grade 99.2%

Course offered by Stanford University via Coursera.org Topics: MapReduce, Web-link analysis, Data-streams, Locality-sensitive hashing, Computational advertising, Clustering, Recommender systems, Analysis of large graphs, Decision trees, Dimensionality reduction, Support-vector machines and Frequent-itemset analysis.

Topics covered: Business Analyst competences Process Analysis Document Analysis Requirements Gathering Solution Statement Quality Management System Thinking

Treasurer, Youth Empowerment Initiative Club, Fall 2008 - Spring 2009 President, Insurance Club, Spring 2007 Graphic designer, CSSU, Fall 2007 Photoreporter, student online publication Flash News, Fall 2005 - Fall 2006