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Flag of INDIA
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Joined July 15, 2003
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Vinodh P.

@wecodeforu

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## BIO India Objective To pursue a challenging career that utilizes my analytical and quantitative skills effectively and offers advancement opportunities. Areas of Interest * Statistical Analysis and Programming * Neural Network Modeling / Regression Modeling * SAS Programming * Predictive Modeling / Forecasting * Database Design and SQL * Data Mining Techniques * Process Modeling and Simulation * Optimization Techniques / Genetic Algorithms * Market Research / Conjoint Analysis / CHAID * Software Development in VB/VC++ Education May '01 - May '03 Master of Science in Industrial Engineering, State University of New York at Binghamton, New York Thesis: "Yield Prediction for Area Array Assemblies using Monte Carlo Simulation" Aug '97 - Apr '01 Bachelor of Science in Mechanical Engineering, Anna University, Chennai, India. Experience May '01 - May '03 Research Associate, Universal Instruments Corporation, Binghamton, NY. Design and Development of Yield Prediction Software and Decision Support Systems. Responsibilities included: * Designed and Developed various Process Yield Prediction Software for Electronic Manufacturing companies including IBM, Motorola, Nokia, and TI using Monte Carlo Simulation, Regression Models and Statistical Techniques in Microsoft Visual Basic 6.0. * Developed various Multi-variate Regression Models for process improvement applications in Electronic Manufacturing companies. * Quantitative Data Analysis and Data Modeling for Reliability of Electronic Assemblies. * Designed and Developed Very Large Databases (VLDB) for storing various Reliability testing results in electronic assemblies. * Developed an Information Search, Retrieval and Graphical Reporting System for Microelectronic Components Reliability from massive databases using Data Mining techniques and complex Query Processing. * Involves active and continuous interaction with customers from various Electronic Manufacturing companies. Independent Project Neural Network Based Strategies for Estimation of Placement Process Throughput in Electronic Assemblies * Collected the placement process throughput data for various electronic products with different component mix. * The data was pre-processed and was used to develop a multi-variate regression model for estimation of the placement process throughput. * Analyzed various neural network architectures for modeling of the throughput data through a DOE-based approach and statistical analysis. * A backpropagation neural network model was developed for quick and reasonably accurate estimation of component placement process throughput in the PCB assembly process. Academic Projects Daily Returns Forecasting for "Cisco Systems" stock using Neural Network Modeling * Technical indicators and the data pertinent to the stock index of the company were collected and pre-processed to create a prediction model. * The model was created and analyzed using Backpropagation and Radial Basis Function (RBF) paradigms using "NeuralWorks Professional Plus" software. Flip Chip Assembly Advisor * Developed a Decision Support System (DSS) to optimize the process parameters in flip chip assembly for maximum process yield. * The software was developed in Microsoft Visual Basic 6.0 using Genetic Algorithms (GAs) and Monte Carlo Simulation method. Modeling of a Rental Car Services System * Studied, modeled and simulated the inventory of cars and services in the "Avis Rental Car Company". * The model was developed and simulated using "Arena" simulation software. Solving Traveling Salesman Problem (TSP) using Genetic Algorithms (GAs) * Solved the classical TSP for the shortest traveling time using GAs. * Genetic Algorithm was compared with the Exhaustive search techniques for a 10-city TSP. Implementation of Genetic Algorithms (GAs) for Flow Shop Scheduling Problems * Optimized the sequence of jobs for various flow shop environments using GAs in C Language. * Compared GAs with Complete Enumeration Techniques and proved that GAs are less CPU Hungry than Complete Enumeration Techniques for large number of jobs. Publications * Gopakumar, S., Poyyapakkam, V., Blass, D., Borgesen, P., and Srihari, K., "Lead Free Flip Chip Assembly", ASME Annual Conference, New Orleans, LA, 2002. * Poyyapakkam, V., Borgesen, P., and Srihari, K., "Yield Prediction for Area Array Assemblies using Monte Carlo Simulation", APEX 2003 Conference, Anaheim, CA, 2003.   Presentations and Demos * "Codification Software", Area Array Consortium, Universal Instruments Corporation, Binghamton, NY, March 2002. * "Codification Software: Yield Prediction Modules", Area Array Consortium, Universal Instruments Corporation, Binghamton,    NY, March 2003. * "Yield Prediction for Area Array Assemblies using Monte Carlo Simulation", APEX Conference, Anaheim, CA, March 2003. Relevant Courses Modeling and Simulation Introduction to Optimization Database Systems Information Technology Industrial Management Entrepreneurship Development Operations Research Applied Probability and Statistics Foundations of Neural Networks Science of Manufacturing Marketing Management Quality Assurance for Engineers Computer Skills Operating Systems - Windows 98/2000/XP, Linux, Unix, DOS Databases - MS Access, Sybase, Oracle 8 Programming Languages - C, C++, Java, PL/SQL, VB, VC++ Internet Programming - HTML, XML, ASP, Servlets, EJB, JSP, RMI, JavaScript Packages - MS Office, AutoCAD 2000, Arena, SAS, SPSS,            SAS/Enterprise Miner, Statistica, Statgraphics, NeuralWorks. Achievements * Received Tuition Fee Waiver and Scholarship from the Research Foundation of State University of New York (SUNY) for the complete course of the graduate study. * Obtained a score of 2270/2400 in Graduate Record Examination (GRE) in July 2000.                           Analytical    - 790/800 (98 percentile)                         Quantitative - 800/800 (99 percentile)                         Verbal - 680/800 (95 percentile) ## Area of Expertise Computer Skills Operating Systems - Windows 98/2000/XP, Linux, Unix, DOS Databases - MS Access, Sybase, Oracle 8 Programming Languages - C, C++, Java, PL/SQL, VB, VC++ Internet Programming - HTML, XML, ASP, Servlets, EJB, JSP, RMI, JavaScript Packages - MS Office, AutoCAD 2000, Arena, SAS, SPSS,            SAS/Enterprise Miner, Statistica, Statgraphics, NeuralWorks.

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