QUALIFICATION HIGHLIGHTS

• 15 years of IT project development and management experience.
• Doctoral PhD - strong technical background.
• PMP Project Management Professional certification 2009 not renewed 2012 .
• Expert in initiating and implementing technical/operational solutions from abstract ideas.
• IT expertise in databases, distributed information management, wireless and multimedia communications, client/server, Internet protocols, pull/push, resource efficiency.
• Project team development, quality management/control, trouble shooting.
• Strong communication, presentation, analytical and problem solving skills. Diversity.

KEYWORDS

Data Flow

• PHP, Java Script, C, C, Java
• Project Management
• Large Scale Data
• Databases, HTML5, CSS
• SQL, MySQL
• Oracle, Hadoop, Warehouse
• Resource Constraints
• Visual Data Analysis

PROFESSIONAL EXPERIENCE

Confidential

Data Management and Analysis on 1 hadoop cluster datamine, 2 home grown data-warehousing, 3 Oracle production database. On-demand data extraction and analysis per client requests. Administration over the Java code base in response to client requests. Oracle database monitoring and updating. Hands-on Java programming for automated datamine/database querying. The company was an online advertising company which enabled exposure to advertising terms and technologies. Among these technologies user profile extraction through cookies required networking expertise as well to fully analyze the data. In addition to other tasks also performed user data ingestion based on data provider inputs.

Confidential

• Development of the company financial database moving from manual operations on excel spreadsheets. The objective of the project was to enable detailed cost analysis. The tasks included designing the database to best fit the current state of the system with strict time constraint, overseeing data updates according to accounting department input and joining non-uniform tables The results of the analysis was provided to the highest level of management.
• Detailed data analysis on the database for historical performance focusing on costs. . Data was analyzed with numerous SQL queries formed in response to questions on different aspects such as total cost, cost per server, cost per GB usage, and cost per virtual machine used, etc. Management required dynamic reporting structure as they were trying to figure out the best way to use their existing data. Using Spotfire style analysis data was analyzed from different date and time angles. This enabled the management to define the strategic decisions on 2013 and to better understand their costs for strategic planning.
• Development of the company database web page targeting for report generation to enable CEO access. LAMP development, PHP MySql JavaScript. The users are provided with different levels of authority to use reporting or data uploading actions and to be able to access views or tables from the database.
• Intense SQL programming to validate, verify and query data. Basic database administration for back-up restore and stored procedures. Advanced level MS Excel processing including vertical lookups, macros and pivot tables for data analysis support. Data fed into Spotfire analysis.

Confidential

• Hands-on project management. Database integration for interactive interfaces for front and back-end LAMP development. Enhancements in data management and communication strategies using PHP MySql Javascript. Hands-on Web SOA service Oriented Architecture applications involving Google mapping API and Facebook API. JSON and XML related technologies were applied. Project targeted for mobile users, cross optimization for networking and database use. SQL based querying.
• Development of the company web page to enable web 5.0 functionalities. In addition to improved user interfaces, database access for archival data was enhanced for better user experience. Advanced level MS PowerPoint and MS Excel use.
• Web development on Amazon EC2 for two web services. Data analysis for historical performance analysis using various tools enabling spotfire style analysis. The data analysis was supplied by aggregate values and error margins to enable analysis from different angles.
• Front-end design and implementation using solid object-oriented programming and HTML5, CSS. Implementation of back-end support for location-based applications using geolocation functions.

Previous Employment:

Confidential

• Project Management initiating, planning, foreseeing the activities of a diverse project team, developing time schedules for activities, providing guidance and leadership to the team, data analysis and also presenting the project deliverables/results to various domains of users using Microsoft Office tools such as PowerPoint, Excel.
• Sample Projects:1 QUAD Quadrant-based location estimation: Proposed, developed and implemented a location estimation approach for mobile nodes without GPS for cost and size efficiency, minimizing resource usage. The approach is based on a wireless node's position comparison to a number of landmark points and information exchange among neighbors. Our approach enables accurate estimates within a confidence interval. 2 AEROS Adaptive and Energy-Efficient Registration and Online Scheduling: Self-organization comes at an additional cost on severe resources. We proposed, developed and implemented a novel protocol, to exploit application-based data flows to allow cost-efficient self-organization that governs communication routes and schedules. With minimal communication costs and conflict-free schedules we allowed risk-free sleep time to save power. Java, NesC, C programming, shell script, Perl, Matlab, PowerTOSSIM, 3 Pull/Push: Detailed performance analysis of pull and push based data communications in a broadcast-based environment on a prototype testbed on Microsoft NT 2000 using IP Multicast. Contrary to common wisdom, we observed pull outperforming push even when request processing and scheduling overheads are a significant factor. Solaris, Microsoft NT 2000, Windows 2000, Linux. 4 PLASMA PLAnetary Scale Monitoring Architecture: We focused on distributed networks where individual nodes have severe energy, storage and processing limitations. We developed efficient and highly scalable communication and processing under such constraints. Significant performance improvements by a minimal investment in adaptive organization.
• Lead intense data analysis work using various tools for performance analysis. Also professional service in committees of cross disciplinary organizations such as ACM SIGMOD Special Interest Group in Management of Data, VLDB Very Large Databases, IEEE ICDE International Conference on Data Engineering, IEEE ICC International Conference on Communications, IEEE WIAPP etc.

Confidential

• Surveillance applications using CMOS cameras. The main focus of this project was to enable efficient multimedia data collection from resource constrained wireless nodes. We reversed the traditional decoding/encoding complexity to accommodate new resource constraints on transmitting nodes. In particular, resource constrained nodes made use of efficient filters to reduce the amount of data that needs to be communicated. Resource-intensive complex analysis in return was moved to the resourceful receiver.
• IBM MPEG7 annotation tool was used to partition and index videos for various attributes while object descriptors were processed for persistent storage and SEBM video model for persistent storage of captured object data.

Confidential

Proposed, analyzed, implemented, prototyped, and evaluated a novel on-demand scheduling algorithm, RxW. RxW uses a time based priority to make online scheduling decisions according to the popularity of the requested items and the accumulated waiting time in the service queue. Using a single parameter, its performance can be tuned from a constant time to a pruned to tradeoff between accuracy and efficiency. Applied extensive concurrent programming using multiple threads with C, C programming and GNU tools on two main operating systems.

Confidential

Developed an object oriented data model for incomplete and uncertain data. Implemented the new data model on a Database Management System using persistent objects. C programming on UNIX environment.

Confidential

Performed and assisted critical systems maintenance and the major system upgrade of the Caesar's hotel and casino management support system. The task involved assisting operations for a smooth transition while a major upgrade was taking place on NCR systems, UNIX.