Data Engineering & Electrical Engineering

BEN ASHJARI

BIG DATA ANALYTICS ARCHITECT

White Plains, NY

***.*******@*****.***

EXECUTIVE SUMMARY

High achievements in architecture and management of mathematical and technical business data computing, most of which in diverse environments, directly helping the 'bottom line.' Accomplished in the full lifecycle data engineering & governance including data warehousing and data mining projects R&D and their timely delivery. Performed enterprise data modeling and data alignment, data & systems integration. Conducted large-scale data warehouse and big data analytics using mathematical statistics and pattern recognition in disparate databases, plus incorporating advanced data visualization. Have taught data engineering, data science, mathematics, physics, electrical engineering & computer science (EE&CS) courses.

Award-winning accomplishments in high-tech data computing environments, most of which on mission critical solutions in full lifecycle of global data warehousing and enterprise data mining. In team efforts, architected, modeled, mapped, built and 'productionalized' large-scale data warehouses and data mining systems as well as big data analytics.

Experience at vertical and horizontal markets, has honed ability to work with a variety of people from CIO's to IT users.

I am seeking a job in which my proven mathematical, technical and business knowledge and expertise shall make 'bottom line' contributions and difference.

CITIZENSHIP: U.S.A., since 1990.

DESIRED LOCATION: New Lower Westchester and New York City areas.

Languages Fluent

Python, SQL, R, JAVA, C++, C, Pascal, Fortran, SAS, Matlab, Mathematica, Maple, PL/SQL, Erwin, Excel, Toad;

English, French, Persian, Arabic.

WORK ACHIEVEMENTS

Highlights of the breakdown of my major accomplishments in data & knowledge engineering from 10/1990 to present either as a salaried fulltime employee or a consultant/contractor; (most recent first:

HI-TECH, INC. CONSULTANTS; 'On' & 'Off', 'On' = when I performed consulting/contractual work (10/1990- Present)

White Plains, NY; global large-scale data warehousing using Kimball methodology. Hands-on, providing subject matter expertise (SME) to clientele, while practicing in data governance, data mining and big data analytics.

Honorifically named Dr. Data by my co-workers, I have been part of a team of innovators in machine learning, artificial intelligence, and predictive analytics for big data, solving every day BIG DATA problems using virtual MDM and researched & developed predictive analytics technology that integrates with business intelligence platforms, data governance of multiple disparate databases & data marts, data alignment, and data quality business systems & applications to be used as dashboards. Our designs and implementations offered easy-to-deploy self-service predictive analytics solutions that allowed our clientele and their customers to unlock deep insights within and from their data in multifaceted environments without need for SQL or programming, and visualize them using SAS, Matlab, Mathematica or Maple.

Our achievements ensures a variety of robust relational and dimensional database engines, the correct use of different SQL computer languages, valuable business ad hoc & batched queries, statistical techniques such as multivariate [mathematical & empirical] statistical analysis & modeling (e.g. generalized linear modeling, regression, clustering, and decision trees) have been successfully applied to construct accurate data models, then, the models have been properly implemented, tested, 'productionalized,' followed by system integration of effective colorful feature-rich visualization software & systems for user-friendly applications.

IBM Global Services, (6/2010 -12/31/2015)

Armonk, NY; machine learning and predictive analytics for big data, solving BIG DATA problems using virtual MDM and my developed predictive analytics technology that integrates with IBM InfoSphere & SPSS business intelligence platforms, data governance of multiple disparate databases & data marts, data alignment, and data quality business systems & applications to be used as a dashboard. Achieved technology creation of predictive analytics and predictive modeling mathematical methods based on innovative pattern recognition and pattern classification. Accomplished statistical techniques for machine learning and knowledge discovery.

McGraw-Hill Book, Education, and Media, (2/2005-5/2010)

Columbus, Ohio; Global Data Warehouse Lead Architect, Enterprise Database Designer, and Data Architect for the global conglomerate. Web-enabled terabyte-level Global Data Warehouse re-engineering to hold 5 years of decision support historical data and clickstreams plus indefinite archiving: applied star schema dimensional data modeling, snowflaking and denormalization. Designed a scalable modular parallel bus architecture with strong meta data and "meta 'meta data' data" layers and conformed shared dimension tables as well as independent fact tables around Order Pipeline, Line Item Sales, Invoice, Manufacturing, Inventory, General Ledger, Accounts Receivable, Plant Cost Tracking, Product, Time, Royalty, International, Sales Rep, Territory, and Demographics, all loaded from the staging area applying Oracle Warehouse Builder and Informatica ETL PowerCenter suite of tools, while the staging area sourced from an Oracle 11i ERP system.

Used Erwin Data and Process Modeler, ModelMart and Model Navigator. Used Oracle PL/SQL, and Excel and CSV macro programming to reverse engineer and generate complete subject oriented Erwin data models. Interacted with the Business side for requirement gathering and with Business Analysts for deriving the data purposes as well as for Meta Data collection. Mentored team members, resolved slowly changing dimensions and hierarchies, resolved IMDS legacy, Lawson DBMS, T1990-Presentables, and flat file data systems, external syndicated [purchased] market data retrieval (MDR) data compatibility issues with the company’s Oracle platforms, and Oracle Discoverer. Designed Materialized Views for high performance SARBANES-OXLEY aware Web-based Business Intelligence, adhoc query and canned reporting, and data mining.

Corporate Express, (2/2004-2/2005)

Broomfield, Colorado; Principal Data Warehouse Data Modeler. Applied Embarcadero ER/Studio Data Modeling suite, created ERDs, Reversed engineered from DDL. Converted SQL Server 2000 environment to Oracle environment and designed parallel operations and migration cut-over. Used Oracle 9i (Release 2) in Purchasing, Web Logs and user session Clickstreams tracking. Also, Ordering and Inventory data warehousing: Inventory Tasks, Adjustments, and Cycle Counts w.r.t. Products and Locations, Used PL/SQL, TOAD, Advanced SQL, Ab-Initio Graphical Development Environment (GDE), and Ab-Initio Enterprise Meta Environment (EME), Oracle Warehouse Builder, performed functional designs and their documentation, utilized Hummingbird, data webhousing, Maestro scheduler, and FTP client. Dealt with SME's for requirement gathering.

MetLife - Director of Application Development, (1/2001-1/2004)

New York, NY; unification and migration of heterogeneous data from various sources for a 25 million Customer data warehouse called Customer Information File (CIF) a.k.a. corporate information factory. Responsibilities included leading the design of a Web based Reporting and Scorecard System on UDB and Oracle8i. I Performed a study of tools which culminated in a broad encompassing tool report, one of whose byproducts was Ab-Initio adopted as the ETL, meta data (EME) and data migration tool of choice for MetLife's data extraction, transformation and load needs. Performed data mapping. Performed logical and physical modeling using ERwin for the back-end, and OLAP solutions using Cognos Impromptu and PowerPlay on the front-end. Worked with Trillium, UML & Use Case for business data modeling and applied Business Rules approach to application development using Rational Rose. While directly technically part of the team, also planned and followed project’s progress with MS Project.

PepsiCo - Manager of Data Warehousing, (1/1999-1/2001)

Somers, NY; responsible for the data warehouse fed by data sources from 10 national business units across the United States. Applied SQL development. Performed data modeling and mapping, and built tactical and strategic reporting metrics. In the management arena, as the Group Manager which was a second line management position, built a team of professionals composed of 16 full-time employees and 4 consultants located in two locations, New York and North Carolina. This group was divided into 4 teams: Data Architecture, Data Administration & DBA, Data Staging, and Query Consolidation & Optimization. The latter was for creation of a data mart with enterprise data aggregates. Took proactive measures for data warehouse problems and project management. Made short-term decisions without sacrificing long-term goals. Ensured that performers were identified, rewarded and grown.

Worked with Teradata, Redbrick, and Oracle. Crystal Report design as well as ETL and data migration from InfoPump to Ardent (Ascential) DataStage. Used Sybase OLTP servers to feed data warehouse. Integrated SAS into business intelligence to reduce raw data and information into knowledge, Negotiated with and managed vendors. Incorporated IBM Tivoli.

Citibank; Global Corporate Banking Data Model project, (1/1998-1/99)

New York, NY; In this project, I leveraged HPS Case tool and TurboCycler for logical and physical data modeling. I generated DDL and applied forward engineering to go from the repository to Oracle7/8i database schema in the back-end. I also applied data access language (DAL) to build physical database schema, and to find traceability between data elements. I leveraged Functional Requirement Documents (FRD) to model data according to the Citibank’s Corporate Banking Data Model (CBDM), particularly for global trade.

Chase Manhattan Bank; Corporate Profitability & Billing Data Warehouse, (1/1996-1/98)

Wall Street, New York, NY; As part of Corporate Systems & Data Architecture Group, I analyzed and architected Profit-Loss data warehousing technical and business metadata, extraction, transformation and load (ETL), multidimensional OLAP requirements on Cognos suite of tools, OFA and OSA; and ROLAP on MicroStrategy for integration into corporate profitability data warehouse. I also developed a system for automated tool evaluation and selection (ATS). On software, I analyzed Hyperion Essbase, MicroStrategy DSS and DataStage software data tools, as well as Platinum Metadata & Repository Management tool. Managed contacts with GartnerGroup.

Senior Associate & Partner, ASI Financial Services, (1/1994-1/96), USA; Data Warehouse Consultants; also see immediate below two projects:

Chase Manhattan Bank Corp.; Retail Profitability System (RPS-II) Data Warehouse, (1/1995-1/96)

New York, NY; I was involved in the full project lifecycle of a large project, one of its principal architects, design document writer, and its data analyst: The RPS-II system tracks customer account information from 6 million records of multi-tier daily data with over 200 fields each and provides P/L tracking and profitability analysis to support business solutions for the company. Applied the following S/W development & technologies: Oracle Suite, MS Back Office Suite, ERwin, logical & physical modeling, dimensional modeling, data cleansing & transformation, migration, aggregate/meta-table navigation, front-end query on a VB custom designed GUI, as well as Requisite Pro requirement management tool. Liaison between the business and technical developers. I also lead three professionals to identify data problems and inconsistencies to perform data cleansing.

CoreStates Financial Corporation; Lead Data Architect, (1/1994-1/95)

Philadelphia, PA; lead project to develop Loan Information System Automated Settlement (LISAS) Data Warehouse. We built this client/server application utilizing Microsoft Back Office Suite and PowerBuilder. Several third party tools such as Platinum’s integrator were leveraged to implement seamless integration with legacy IDMS and DB2 databases. This productionalized system included solution aspects such as re-engineering the loan settlement process. It incorporates robust reporting with drill down and roll up capabilities as well as a flexible interface for changing business requirements.

Prior Consulting Work, (10/1990-12/93)

New York & New Jersey; Data communications consultant to Bell Labs./Lucent; United Nations; IBM; and law enforcement.

Adjunct Associate Professor of Electrical Engineering, State University of New York (SUNY), New Paltz, New York; taught courses in various topics of Data and Information Science and Engineering, as well as digital signal & image processing, and control, at both graduate and undergraduate levels, 1/1991-12/2000.

Breakdown of the Salaried Positions during 9/1981-10/90:

NYNEX Science & Technology, (9/1988-10/90)

White Plains, NY; Member of Technical Staff (MTS), worked on handwriting recognition and check legal amount recognition.

UNISYS Corporation, (9/1986-9/88)

Plymouth, MI; Manager of Recognition Technology, designed and manufactured Character Recognition and Check Legal Amount Recognition Systems along with Japan's NEC and Germany's AEG.

Bell Communications Research (Bellcore), Corporate Trainer, Member of Technical Staff (MTS), Bell Communications Research (Bellcore), Piscataway, New Jersey; Technical Education & Training Division (TETD), designed and taught 4 courses in Digital Signal Processing to members of technical staff, most of whom with PhDs, (1/1984-8/86).

Stevens Institute of Technology, Hoboken, NJ; Assistant Professor of Electrical Engineering & Computer Science, (9/1981-12/83).

Institut National de Recherche d'Informatique et d'Automatique (National Institute for Research in Computer Science & Control), Paris, France; Visiting Researcher during graduate school at USC, (1977-78).

EDUCATIONAL ACHIEVEMENTS

PhD & Masters, PhD & Masters, Electrical Engineering - Systems, University of Southern California, Los Angeles, California; DARPA Funded PhD Dissertation on data mining and pattern recognition from digital images for missile guidance in non-structural & textural terrestrial path image data: Title: Stochastic Singular Value Decomposition Texture Measurement for Image Classification, February 1982.

Minor: Mathematics. Had numerous advanced mathematics courses.

Bachelor of Science with Honors, Electrical Engineering, Purdue University, West Lafayette, Indiana, May 1974.

MEMBERSHIPS, AFFILIATIONS, & AWARDS

Sigma Xi (Scientific Research Society); Tau Beta Pi (National Engineering Honor Association); Eta Kappa Nu (National Electrical Engineering Honor Society); Senior Member, IEEE; Founding Former Chairman, Systems, Man, & Cybernetics (SMC) IEEE Society North Jersey Chapter; Exemplary Teacher Award, Bell Communications Research; IEEE Leadership Award; Purdue President's Academic Achievement Award; AAAS; Laudatory Citation, Mobile Office Magazine, for Creation of Law-Enforcement Technology; Mensa.

IN THE INTEREST OF BREVITY, PUBLICATIONS AND OTHER AWARDS HAVE BEEN EXCLUDED FROM THIS RESUME.

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