Data Analyst Assistant
Resume:
Syem Ishaque
Mississauga, Ontario
************@*****.***
EXPERIENCE
Software Development Experience (Courses, Projects, Research) Ryerson University - Toronto, ON September 2011 - present
● Wrote, tested and implemented codes using C programming language to turn on LEDS, timers, and convert analog signals to digital bits.
● Utilize functions, classes and initiated variables on C++ to develop patient queue, analyze gene sequences and develop a rock, paper and scissors game.
● Utilized python to predict and classify stress using machine learning algorithms, developed algorithms to sequence DNA and RNA genes.
● Utilized HTML and CSS to style web apps.
● Developed Digital System algorithms using VHDL and specific functions.
● Utilized simulink to design control systems and matlab to analyze and visualize results.
● Utilized SQL to extract data from specific categories, applied mathematical transformation on results to obtain desired results.
● Utilized monte carlo to analyze the effect of radiation.
● Utilized C programming language to develop a biofeedback algorithm which can assess the trunk muscle and utilize an accelerometer and LEDS programmed through arduino to indicate the motion of the trunk muscle.
● Utilized python to implement pipelines which extracted specific features, normalized data, applied hyperparameters in order to classify and predict stress more accurately.
Research Assistant/Data Analyst
Ryerson University - Toronto, ON April 2018- present
● Interpreted, analyzed and recorded data from a VR video game (data was recorded from physiological sensors and sent to cloud via bluetooth).
● Researched the various pathologies associated with low HRV. ECG signals were processed to detect R-R peaks which can be used to assess HRV through time, non-linear and frequency domain analysis.
● Utilized Matlab, python to assess ECG data.
● Applied Feature Engineering, Feature Reduction to normalize data and prevent overfitting.
● ML algorithms such as DT, SVM, NB, KNN, LDA, LR were used to predict and classify labels using HRV features.
● Deep learning with tensor flow, keras and theano packages were used to classify/predict 5 levels of stress.
● Developed a machine learning algorithm to classify/predict stress. Performed Image and NLP classification using Deep Learning algorithms.
● IEEE conference paper called Stress Classification from VR simulations was accepted for publication.
Teaching Assistant
Ryerson University - Toronto, ON September 2019 - April 2020
● Supervised and Instructed 3rd and 4th year Engineering students during their lab experiments for Control Systems and Signal and Systems modelling.
● Labs included using Machine learning algorithms to classify diseases or abnormalities, extracting features from online data using signal processing methods, using biomedical devices to produce specific data and using online data to analyze, understand and solve health related issues. Website
https://github.com/sishaque/Stress-Classification-from-VR-simulation EDUCATION
Ryerson University, Toronto, ON — MAsc in Biomedical Engineering Graduated in April 2020
CGPA: 3.34
Ryerson University, Toronto, ON — Bachelor of Biomedical Engineering Graduated in April 2017
PROJECTS
AI Developer Project
Intel Corp - Remote
October 2019 - February 2020
● Winner of Intel AI/ML
abstract competition.
● Worked on a AI
developer project with
Intel to classify and
predict stress from VR
simulations using Intel
Nuc.
● Developed a novel 100
fold cross validation
algorithm to effectively
evaluate performance.
Stress Analysis using novel Gini
Index
Ryerson University- Toronto, ON
January 2020 - May 2020
● Developed signal
processing and machine
learning algorithms to
effectively analyze
stress.
● Developed a novel DT
cart model to classify
stress more accurately.
Journal paper submitted
to IEEE JBHI.
SKILLS
● G Driver License
Certified
● Programming: C/C++, perl,
python, VHDL, web
development. Machine
Learning, Deep Learning,
NLP, Matlab, SQL, Image
Processing, javascript
● Application:Eclipse,
Notepad++, Matlab,
MPLAB-X, Simulink,
LABVIEW, Monte carlo,
Python. Scikit Learn, Keras,
Theano, Tensor flow,
Tableau, R, Visual Studio
● Operating Systems:
Windows 7, Linux, Windows
XP, Mac 0s
● Certifications:Lean Six
Sigma
● Interpersonal:
Communication,
Leadership, Collaboration
AWARDS
Deans list April 2013
LANGUAGES
English, Bengali, Hindi
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