Emrul Hasan Email & Phone Number

Toronto, On, Ca

Toronto, On, Ca

Toronto, Ontario, Canada

Provide consultation to Machine Learning Associates from Vector’s partner companies

Toronto, Ontario, Canada

Toronto, Ontario, Canada

• Performed data cleaning, text mining, feature extraction, feature engineering, data visualization, and preprocessed messy real-world unstructured data• Applied machine learning techniques to develop a recommendation system for real-world applications, resulting in a prediction accuracy improvement of 4% over state-of-the-art• Developed a novel multi-criteria rating and review-based recommender system using a deep neural network and attention mechanism, achieving an 8% performance improvement over several state-of-the-art models.• Applied various classification algorithms such as Naïve Bayes, Logistic Regression, XGboost, SVM, LSTM, and BERT sentiment classifier to obtain the best-performing model. • Used Named Entity Recognition (NER) and POS tagging methods to retrieve the specific clinic terms from the document to improve the similarity score between documents.• Achieved significant performance improvement with transformer-based BERT model on similarity measure compared to a bag of word embedding method.• Presented research findings to academic and industry audiences through written reports and presentations.

Toronto, Ontario, Canada

• Computer Science I (Python)• Programming for Scientist• Introduction to computer programming• Introduction to Natural Language Processing--Conducted a 2nd-year undergraduate programming lab of 40 students and assisted with debugging code.--Evaluated lab reports and assignments and provided constructive feedback to improve performance.

Toronto, Ontario, Canada

Courses:• Probability Theory and Introductory Statistics• Intro to Enterprise Analytics SEC• Intermediate Analytics• Analytics Systems Technology• Database Management Systems• Capstone --Graded weekly assignments and final projects for a class of professional master’s students, and provided suggestions for improvement

Winnipeg, Manitoba, Canada

• Applied the Monte Carlo predictive method to investigate the properties of a material, revealed low-temperature phase transitions, and constructed a phase diagram with 5 different phases.• Analyzed numerical data to identify the magnetic behavior at different applied fields and temperatures,resulting in magnetic phase transition and phase diagram of the material at very low temperatures.

Doctor Of Philosophy - Phd, Computer Science/Artificial Intelligence, 4.13/4.33

Master’S Degree, Physics

Bachelor'S Degree, Physics