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Power Plant Engineering

Location:
Pompano Beach, FL
Posted:
November 18, 2020

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Resume:

NARAYANAN KRISHNAMURTHY

Coconut Creek FL, adhyhx@r.postjobfree.com, 412-***-****

https://www.linkedin.com/in/NKrishnamurthy74

SKILLS SUMMARY: Web Portfolio - https://bit.ly/2yCFHUM

* Python (Pandas, Sklearn, Keras/Pytorch), R/Rstudio, Statistics, Matlab

* Excel / PowerBI, Tableau, Alteryx, Qlik

* SQL/NoSQL-MongoDB, HDFS, Spark (Python and R Api), Linux

* C++, C#, QT, Embedded Systems, Cmake/Makefile, Parallel Programming

* Java, Javascript, Node.js

PROFESSIONAL EXPERIENCE

Analyst Contact Center JUL 2020 – till date

Frontier Communications, FL

* Contact Center Analytics: Report to director of strategic initiative, to deliver reports, write Teradata SQL queries, create tables that track customer calls. Use R data.table library and Teradata SQL queries for analyzing, summarizing data from different sources.

SOFTWARE ENGINEER – Fabmatics FEB 2019 – DEC 2019

Magic leap, Plantation FL

LINUX & PLC System

* Commissioning/production support: Along with 2 technicians, managed production of the AR version 1 glass handling system. The PLC and C++ system developed by Fabmatics; controlled and automated the lens manufacturing. Was the liaison between magic leap staff and German engineers, to sort out daily issues with manufacturing. Remote access to the system, & analysis of log files, via. terminal was used to correct errors in software, and/or errors due to the operator. System malfunction due to malfunction of sensors, due to changes in position or timing, and any other issues that arose with system or software were handled to facilitate production.

DATA LAKE ANALYST – Cognizant Technologies JUN 2018 - FEB 2019 Revenue protection, Florida Power & Light, Jupiter FL R, Python, SQL, Machine Learning, Issue Tracking

* Wrote code and queries, to analyze customer usage data, and develop ML models for anomaly detection and time series classification.

* Tsfresh time series (TS) features were extracted and dimension reduction techniques; and different ML classifiers (Random Forest, SVM, QDA & Neural Net) were used to classify anomalous time series.

* Feature engineering: Significant features were obtained using CCA, PCA, TSNE & Baruta methods.

* Change point analysis was used to identify anomalous premises, and ggplot visualizations done for 2 million accounts.

* Computations were implemented across threads in parallel to speed up computations using shared memory.

Work Sample 2: Cognizant Project - https://bit.ly/2A7wyE0 DATA SCIENCE ANALYST FEB 2016 - JUN 2018

Oakridge Associated Universities – DOE National Energy Technology Lab, Pittsburgh PA R, Python, IBM Spss & Machine Learning

* Different 9Cr Steel test data of inhouse and those from Japan were analyzed to develop data analytic tools for rapid development of new alloys at NETL in collaboration with Case Western University.

* Pairwise correlations were done as part of exploratory analysis. Variables of non-zero variance & frequent occurrences were used to predict strength, ductility, and other mechanical properties.

* Multi-variate and stepwise regression were used to determine rank order of variables in explaining a mechanical property.

* Random forest recursive partitioning technique was used to explore expanded composition space to predict property of new alloy from existing test data.

* Different techniques i.e. ANOVA, and Tukey HSD tests on mean of samples, principle components, stochastic embedding (t-SNE), hierarchical and medoid, kNN clustering have been used to visualize different classes of alloys Work Sample 3: https://doi.org/10.1016/j.commatsci.2019.03.015 - https://bit.ly/2zmgoGZ NEUROSCIENCE ROTATION JAN 2007 - DEC 2009

University of Pittsburgh, Pittsburgh PA

* Designed and developed Lab VIEW based liquid reward system.

* Designed and developed a Wii based IR motion capture system.

* WiiMoCap: https://bit.ly/2X1fbhg

INTERNSHIPS JAN 2004 - DEC 2006

Bosch & University of Pittsburgh, Pittsburgh PA

* Bosch: CAN driver project: Designed and implemented a higher layer protocol viz. the driver and daemon on top of a Control Area Network (CAN). The daemon takes care of addressing, fragmentation and reassembly.

* COMPUTER: Proposed a pub-sub architecture for emergency notification system using Linux socket programming on ARM PDA's, interconnected via. adhoc routing developed inhouse

* INFORMATION SCIENCES: MIMO Wireless system analysis: Studied MIMO aware MAC, for different PHY architecture, and identify mechanisms that would ultimately address QoS issues, service differentiation based on throughput and delay for Smart antenna based wireless LAN devices

EMBEDDED WIRELESS SOFTWARE ENGINEER JAN 1998 - JUL 2001 Indian Institute of Technology Startup, Chennai India DSP C & ASSEMBLY - https://bit.ly/2M1Hw0A

* Worked through multiple software lifecycles across DECT layers, from requirements, design, implementation and testing in C and Assembly language for ANALOG DEVICE’s DSP processors.

* Projects Completed include 1) Auto ranging 2) Over the air FLASH programming 3) Memory management 4) Modified data link and network layers in the handset to handle dual voice and data connection in DECT wireless in local loop system. MANAGEMENT TRAINEE - ITC BHADRACHALAM, India JAN 1996 - MAY 1997 Recruited on graduation of BS in Mechanical Engineering, one of two selected in a class of 90. Did rotations in different engineering departments at the paper mill and involved with commissioning of new 21MW power plant in Sarapaka India. EDUCATION

UNIVERSITY OF PITTSBURGH JAN 2010 - FEB 2016

Master of Science, Bioengineering

NIH Multimodal Imaging Fellow Award (2012-2013), RF simulation using threaded C code on Linux and Matlab.

* Designed and prototyped components used CAD (Solid works) and workshop for prototyping.

* Model extraction from CAD models, and development of multiple anatomically detailed models and evaluation of MR coils simulations using full wave Maxwell's equations

* Independent Transmit (Tx) & Receive (Rx) coil arrays are used to tackle (electric and magnetic) field in homogeneity that arise at ultra-high field MRI. An important part of my thesis work was bench marking of coil performance for efficient and safe use in-vivo.

* The arrays were tested for reproducibility, reliability, and safe usage across multiple studies. EM/RF Finite Difference Time Domain simulations of the Tx and composite of five head models were used to optimize parameters, to obtain homogenize whole brain excitation with low RF absorption.

Work Sample 1: Thesis: https://bit.ly/3i7Ob71

Publication: https://doi.org/10.1371/journal.pone.0209663 - https://bit.ly/3c5EZgv GEORGE WASHINGON UNIVERSITY SEP 2001 - MAY 2003

Master of Science, Computer Engineering

Teaching Fellow: Held weekly recitations and assisted professors with undergraduate and graduate ECE classes: Circuits Design, Signals and Systems, Digital and Analog Communication and Filter Design, Stochastic Processes, and Signal Processing. CDAC CERTIFICATE IN COMPUTING – INDIA JUL 1997 - JAN 1999 https://bit.ly/3doEbVm : Advanced C, Software Engineering, Object Oriented Programming, C++, Java and Business Computing.

REGIONAL ENGINEERING COLLEGE WARANGAL JAN 1992 - JAN 1996 Bachelor of Technology, Mechanical Engineering, Deans List 1992 PUBLICATIONS

1. KRISHNAMURTHY, N., MADDALI, S., HAWK, J. A. AND VYACHESLAV, R. N., “9CR STEEL VISUALIZATION AND PREDICTIVE MODELING”, COMPUTATIONAL-MATERIALS-SCIENCE; MARCH 2019, HTTPS://DOI.ORG/10.1016/J.COMMATSCI.2019.03.015

2. KRISHNAMURTHY, N., MADDALI, S., VERMA, A., BRUCKMAN, L., CARTER, J., FRENCH, R., VYACHESLAV, R., AND HAWK, J. A., “Technical Report: Data Analytics for Alloy Qualification”,https://www.osti.gov/biblio/1456238-data-analytics-alloy-qualification, DOI: 10.2172/1456238, 2018-03-20

3. ROMANOV, V. N., KRISHNAMURTHY, N., VERMA, A. K., BRUCKMAN, L. S., FRENCH, R. H., CARTER,J. L. W. AND HAWK, J. A., "MATERIALS DATA ANALYTICS FOR 9% CR FAMILY STEEL", STATISTICAL ANALYSIS AND DATA MINING JOURNAL, HTTPS://DOI.ORG/10.1002/SAM.11406, FEB 2019. 4. KRISHNAMURTHY, N., SANTINI, T., WOOD, S., KIM, J., ZHAO, T., AIZENSTEIN, H. J., AND IBRAHIM, T. S., “COMPUTATIONAL AND EXPERIMENTAL EVALUATION OF THE TIC-TAC-TOE RF COIL FOR 7 TESLA MRI, PLOS ONE, DEC 2018, HTTPS://DOI.ORG/10.1371/JOURNAL.PONE.0209663. 5. KRISHNAMURTHY, N., ZHAO, T., AND IBRAHIM, T. S., “EFFECTS OF RECEIVE-ONLY INSERTS ON SAR, B1+FIELD AND TX COIL PERFORMANCE”, JMRI, VOL 39 PP 475-484,2014; HTTPS://DOI.ORG/10.1002/JMRI.24152.

6. ZHAO, Y., ZHAO, T., KRISHNAMURTHY, N., ZHENG, H., HARRIS, C., HANDLER, W., LIN, S., CHRONIK, B., AND IBRAHIM, T. S., “DUAL OPTIMIZATION METHOD OF RF AND QUASI-STATIC FIELD SIMULATIONS FOR REDUCTION OF EDDY CURRENTS GENERATED ON 7T RF COIL SHIELDING”, MAGNETIC RESONANCE IN MEDICINE. VOL 74 PP 1461-1469, 2015.

7. RAVAL, S., KRISHNAMURTHY, N., SANTINI, T., ZHAO, T., BRITTON, C., GORANTLA, V. S. AND IBRAHIM, T. S.“ULTRA-HIGH FIELD RADIOFREQUENCY COIL DEVELOPMENT FOR EVALUATING UPPER EXTREMITY IMAGING APPLICATIONS”, NMR IN BIOMEDICINE, VOL 29, 1768-1779, 2016. 8. KIM, J., KRISHNAMURTHY, N., SANTINI, T., ZHAO, Y., ZHAO, T., BAE, K. T. AND IBRAHIM, T. S.,“EXPERIMENTAL AND NUMERICAL ANALYSIS OF B1+ FIELD AND SAR WITH A NEW TRANSMIT ARRAY DESIGN FOR 7T BREAST MRI”, JOURNAL OF MAGNETIC RESONANCE, VOL 269, PP 55-64, 2016. 9. RAVAL, S., KRISHNAMURTHY, N., SANTINI, T., ZHAO, T., C. BRITTON, GORANTLA, V. S. AND IBRAHIM, T. S.,“ULTRA-HIGH FIELD UPPER EXTREMITY PERIPHERAL NERVE AND NON-CONTRAST ENHANCED VASCULAR IMAGING “, PLOS ONE, VOL 12 (6), PP 1-20, 2017. 10. KIM, J., SANTINI, T., ZHAO, Y., KRISHNAMURTHY, N., ZHAO, T., BAE, K. T., AND IBRAHIM, T. S.,“DEVELOPMENT OF A 7T RF COIL SYSTEM FOR BREAST IMAGING”, NMR IN BIOMEDICINE, VOL 30 PP 1-10,2017.

11. WOOD, S., KRISHNAMURTHY, N., SANTINI, T., RAVAL, S., FARHAT, N., HOLMES, J. AND IBRAHIM, T.S., “DESIGN AND FABRICATION OF A REALISTIC ANTHROPOMORPHIC HETEROGENEOUS HEAD PHANTOM FOR MR PURPOSES”, PLOS ONE, VOL 12 (8), PP 1-16, 2017. 12. SANTINI, T., KIM, J., WOOD, S., KRISHNAMURTHY, N., FARHAT, N., MACIEL, C., RAVAL,S., IBRAHIM, T.S., “A NEW RF TRANSMIT COIL FOR FOOT AND ANKLE IMAGING AT 7T MRI”, MAGNETIC RESONANCE IMAGING, VOL 45, PP 1-6, 2018.

13. SANTINI, T., ZHAO, Y., WOOD, S., KRISHNAMURTHY, N., KIM, J., FARHAT, N., ALKHATEEB,S., MARTINS, T., ZHAO, T., AIZENSTEIN, H.J., IBRAHIM, T.S., “IN-VIVO AND NUMERICAL ANALYSIS OF THE EIGENMODESPRODUCED BY A MULTI-LEVEL TIC-TAC-TOE HEAD TRANSMIT ARRAY FOR 7 TESLA MRI” PLOS ONE, PLOS ONE,VOL 13 (11), PP 1-16, 2018.



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