My PhD research involved analytical modeling, simulations, and statistical analysis of large amounts of simulated data for UE-eNB random access at medium access control (MAC) layer in LTE/LTE-A cellular standards and future releases. The research was supported in part by LG Electronics Mobile Research, the SenSIP center at ASU, and NSF NCSS I/UCRC. I have collaborated with research groups in the fields of bioinformatics and nuclear engineering. While working with the bioinformatics research team at ASU, I was heavily involved in automation, ETL, web-scraping, database management, and data mining in addition to general technical support. Having a strong analytical, quantitative, and critical outlook has helped me contribute successfully to diverse fields.

Researcher @ Developed simulators in C and C++ for LTE-A UE/eNB random access process. Developed analytical models of the random access process in Python using NumPy and SciPy libraries. Automated large scale simulations using Perl and Bash scripts. Did statistical analysis of simulated data using R and MatLab. Used GnuPlot for visualization. Wrote automation scripts to automate the process from simulation to generation of PDF reports using LaTeX containing data visualization plots. Reviewer for various journals and conferences. Taught senior level undergrad labs for communication systems and junior level circuits II courses. Wrote Perl based scripts for extracting/web-scraping data from various websites. Transformed data to CSV and XML formats for easier processing. Interfaced with MySQL databases using Perl and automated loading of transformed data (full ETL process) into databases. Worked with large genomics databases over a terabyte in size. Implemented distributed flat file based strategies for faster processing. Experience with NCBI and UCSC genome databases. From August 2007 to December 2015 (8 years 5 months) Scientific Officer @ Worked on electronics design and development for industrial control systems. Designed optical sensor based circuits, wrote associated image processing software, and developed for QNX RTOS in C. Also, worked on designing coding schemes for transmission of image blocks and did implementation in VHDL. From September 2005 to August 2007 (2 years) Mumbai Area, India

Doctor of Philosophy, Electrical Engineering, Signal Processing and Communication, Wireless Data Networks, LTE @ Arizona State University From 2009 to 2014 Master of Science in Engineering, Electrical Engineering, Signal Processing and Communication @ Arizona State University From 2007 to 2009 Nuclear Engineering, Electronics @ Bhabha Atomic Research Centre Training School From 2005 to 2006 Bachelor of Engineering (Hons.), Electronics and Communication Engineering @ Govind Ballabh Pant Engineering College From 2001 to 2005 Translam Academy International From 1994 to 2000 edX Revak Tyagi is skilled in: Apache Spark, Python, Matlab, Data Analysis, Data Science, Big Data, Machine Learning, Analytical Models, Data Mining, R, Big Data Analytics, Simulations, Linux, Mathematical Modeling, Perl