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Electrical Engineering Data

Location:
Cypress, Texas, United States
Posted:
May 24, 2018

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Resume:

SOCIAL SERVICES

• Helped flood affected victims in Houston during Harvey.

• Completed Jury Services for Southwark Crown Court, London, UK. EDUCATION

• Fall 2017 – Current

PhD in Electrical Engineering, Prairie View A&M University, GPA 4.0 Courses : Information Networks, Stochastic Processes, Computational System Biology.

• 2015 - 2017

MS in Electrical Engineering, Prairie View A&M University, GPA 4.0 Courses include: Machine learning for Big data, Deep Learning, Algorithms, Network and cyber security, Fault tolerant computing, Probability and statistics, Internet design and architecture. Thesis topic: Demand forecasting using convolutional neural networks on big real-world data.

(forecasting done from over 3 million data entries, Using - Python, Tensorflow)

• 2008 - 2012

BS in Electrical and Electronics Engineering, Queen Mary University of London, UK GPA 3.33 Individual Final Project: Proportional, Integral and Derivative [PID] controller-based Line Tracking Robot. (this project was sponsored by British Airways)

PROJECTS

• Sentiment analysis: On self-collected Tweets [5GB] regarding the US Election 2016 to observe the sentiment trend of major events (before, during and after) like - presidential debates [GPU-TitanX, Tensorflow- RNN, Python] (2016).

• Classification: Image classification of Cifar-10 dataset [184MB] and Video classification on YouTube bounding boxes dataset[500GB] (CNN, Python), Binary and TF-IDF to represent Spam-Ham Dataset and evaluate on Precision, Recall, F-score,[SVM, Neural Network,Logistic Regression, Python, Cross-validation] (2017-2018).

• Forecasting: CityBike-NYC usage [500MB] forecasting between male and female subscribers [LSTM, Python](2017), Load forecasting in different homes [SVM, NN, Logistic regression, Python, SKlearn](2018).

• Others: Implemented various algorithms including BFS [C DFS [C Linear Regression [Matlab], Random forest [C Decision Tree [C Logistic Regression [Matlab](2015-2017).

• Website Management: Built and managed websites for the CREDIT center and also for all three Mission Critical Big Data Analytics Workshop (MCBDA)(2016,2017,2018) [HTML, CSS] (2015-Present).

• APP Development: Location Privacy for POI Based services [Android Studio, Java, XML] (2016).

• Circuit design and building : Built Reaction Time Machine from scratch [Multisim, micro-controller, C]

(2012).

SAFAT MAHMOOD

15 Graylin Woods Pl, Spring, Texas, 77382 713-***-**** ac5lkh@r.postjobfree.com https://www.linkedin.com/in/safatmahmood/ A hard working, dedicated and focused individual expertise on Big Data, Machine Learning, Natural Language Processing, Robotic Sensing & IOT. Winner of 2016 IEEE Big Data Initiative competition. Communicative team player with excellent leadership skills. S

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Programming Languages Framework and Libraries Tools Design

Software

C/C++, Python, Java,

HTML, CSS,

VHDL, XML, Assembly,

SQL, R, Ruby

Scikit-learn, pandas,

Tensorflow, Keras, numpy,

matplotlib, NLTK, GIT

Familiar: Theano

Matlab, Multisim, Git,

Weka, Xilinx, Android

studio, Xcode, Wireshark.

Familiar: Hadoop,

MapReduce, Spark

Photoshop,

Lightroom,

Illustrator

WORK EXPERIENCE

• 2015 - Present

Research Assistant, CREDIT (Center of Excellence in Research and Education for Big Military Data Intelligence) at Prairie View A&M University

Developed various machine learning models to analyze huge datasets and to fit the problem efficiently.

• 2013 - 2015

Web & Database Engineer, Pacific Jeans, Bangladesh. Implemented and deployed web applications & services, mobile applications, database management, application stability, capacity management and load balancing.

• 2012 - 2013

Internship, Wolfson Microelectronics, Scotland, UK. Worked with design and installation team to design, implement & test audio processor IC’s. AWARDS

• Winner of the 2016 IEEE Big Data Analytics Competition organized by IEEE Big Data Initiative.

• 2016-17 Outstanding MSEE Student of the Electrical and Computer Engineering Department.

• British Airways sponsorship for the Individual Final Project.

• D.O.D Travel Grant to attend the 2017 IEEE Big Data Conference at Washington D.C.

• 2nd best poster award on Mission Critical Big Data Analytics (MCBDA) 2018. PRESENTATIONS & WORKSHOPS

• Workshop

• Hosted Mission Critical Big Data Analytics (MCBDA) Workshop three times

• Operated Hands-on Training on Machine Learning.

• Presentation

• Presented competition work in Chengdu, China 2016

• Presented IEEE Competition work on MCBDA 2017

• Poster Presentation

• Texas A&M Pathways Research Symposium (2015,2016,2017)

• MCBDA (2016,2017,2018)

REFERENCES Available upon request

AUTHORIZED TO WORK FOR ANY EMPLOYER IN THE USA WITHOUT SPONSORSHIP



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