Beta

S M Shafiul Hasan

Postdoctoral Scholar

Emory University

Technologies

My Portfolio Highlights

My New Workbook

Competition - Everyone Can Learn Python Scholarship

My New Course

Introduction to Python

My New Workbook

Competition - Everyone Can Learn Python Scholarship

Data enthusiast, turning information into intelligence with a smile.

My Work

Take a look at my latest work.

DataLab

Competition - Everyone Can Learn Python Scholarship

DataLab

Using Joins to Analyze Book Sales in SQL

DataLab

Investigating Netflix Movies and Guest Stars in The Office

DataLab

Competition - Everyone Can Learn Python Scholarship

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

DeepLearning.AI, Coursera Sequence Models

DeepLearning.AI, Coursera Structuring Machine Learning Projects

DeepLearning.AI, Coursera Convolutional Neural Networks

DeepLearning.AI, Coursera Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

DeepLearning.AI, Coursera Neural Networks and Deep Learning

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Emory University School of Nursing | Jun 2022 - Present

Postdoctoral fellow

• Designing machine learning models (logistic regression, gradient boosted trees, random forest) to analyze risk or developing post stroke cognitive impairment (PSCI) from Electronic Health Record (EHR) data. • Designing survival models to identify patients at risk for Atrial Fibrillation (AF) by utilizing most informative features from routine EHR data and achieved Harrell’s concordance metric of 0.78. • Exploring novel deep learning-based survival models to better learn the probabilities of developing post stroke comorbidities (e.g., AF, PSCI) from routine clinical data. • Incorporating Deep and Cross Network (DCN) to learn from the interactions between different features to enhance the predictive capability of risk prediction models. • Utilizing explainable machine learning models including Generalized Linear Models (GLM) and Generalized Additive Models (GAM) to gather further insight into ML model outcomes. • Exploring signal processing algorithms (Granger causality analysis, Cross-frequency coupling) to measure the connectivity between cerebral blood flow velocity and neural activity monitored by electroencephalography (EEG).

Florida International University | Aug 2018 - Apr 2022

Graduate Research Assistant

• Designed experimental protocols and collected physiological data from healthy and amputated subjects to study human movement-related neurophysiological phenomena. • Analyzed and interpreted Electroencephalography, Electromyography, Functional Near-Infrared Spectroscopy using advanced signal processing and machine learning techniques. (MATLAB, Python, Scikitlearn) • Designed a Support Vector Machine-based algorithm to predict human intention to start and stop walking with >80% accuracy from pre-movement EEG. (MATLAB, Python, Scikitlearn) • Collected and analyzed data related to human intention to accelerate and achieved >85% accuracy in predicting acceleration intention. (MATLAB, Python, Scikitlearn) • Analyzed the effect of affective music stimulus on human motor intention prediction performance and displayed that happy music stimuli significantly enhance predictability. (MATLAB, Python, Scikitlearn)

Florida International University | Aug 2018 - Aug 2021

Graduate Teaching Assistant

• Prepared laboratory activities and course materials such as syllabi, homework assignments, and handouts. • Supervised students' laboratory work. • Evaluated and graded students' classwork, assignments, and papers. • Prepared and delivered lectures to undergraduate or graduate students on topics such as autonomous robotics, microcomputers, and signal processing.

Dhaka Power Distribution Company Limited | Aug 2017 - Aug 2018

Assistant Engineer

1. Conducted regular inspections and maintenance of distribution lines and transformers. 2. Prepared reports regarding the operation of the divisional office. 3. Supervised billing and metering activities and solved consumer complaints. 4. Acted as an in-charge officer of 33/11KV feeders to ensure safe and dependable power to the consumers.

Daffodil International Unviersity | May 2016 - Dec 2016

Lecturer

1. Member of the sports and athletics coordination committee. 2. Member of the executive committee to refurnish and enrich the lab facilities. Courses taught: Measurement and Instrumentation, Electrical Machines I, Electrical Machines II, Communication Engineering I, Communication Engineering I Laboratory.

My Education

Take a look at my formal education

Doctor of Philosophy in Electrical and Computer EngineeringFlorida International University | 2022

Master of Science in Electrical EngineeringFlorida International University | 2021

Master of Science in Electrical and Electronic EngineeringBangladesh University of Engineering and Technology | 2019

Bachelor of Science in Electrical and Electronic EngineeringBangladesh University of Engineering and Technology | 2016

About Me

I am looking for a full-time position as a data scientist or a machine learning engineer. I am a highly adaptable, driven individual with a knack for learning and more than 7 years of experience in data science and machine learning.

Create Your Data Portfolio for Free