Rashik Islam

Predicton of Kidney Graft Rejecton Using clinical notes, vital signs through deep learning models Tools: Python, SQL, BERT, Pytorch, pandas, Transformers

Achievements/Tasks: • Info-bot: Fetches real tme data from Google cloud and provide analytcs visualizaton for the editors in slack • Time series forecastng: Web trafc predicton of portals using models i.e. ARIMA, Prophet, LSTM • Paywall Decision Algorithm (cont..): Decide wheather an artcle should go under a paywall system through machine learning models i.e. SVM, Artfcial Neural Network Tools: Python, R, Pandas, GCP, Seaborn, Matplotlib, statsmodels, Keras

• SmartCounter: A system for steel rod factories to automate the process of rod countng through image processing. • ArgosAI(in collaboraton with premiseHQ) is a digitzed data stream actvated through video cameras that can be used to count people, manage the use of spaces. • Others: Involved in building ETL pipeline from different sources using RestAPI. Tools: Python, Spark, C++, OpenCV, YOLO

Major Duties Assist the instructor during class meetings Conduct help and/or review sessions Proctor exams

GPA: 1.6

GPA: 3.7(equivalent to 1.5)