Saifur Rahman

Background

About Saifur Rahman

I have 4+ years of Research and practical experience in Applied Machine Learning, Deep Learning, Computer Vision, and AI which includes: Practical experience-Semantic Risk Analysis using Large Language Mode (LLM), Computer Vision (CV), Deep Learning Frameworks (TensorFlow, Keras, PyTorch, OpenCV, NLTK)-Cosmic Ray Muon (CRM) Data Analysis using Python3(Pandas, Numpy, Matplotlib, SciPy), work on Reconstruction Algorithm (C++), write Production level codes in Python3-Identifying Patterns and anomalies in Electronic Health Records (EHR) and automating emergency signaling in the Hospital ICU (Intensive Care Unit), using Matlab & Python2-Classifying Acoustic signals to identify defects, and discrepancies, and map physical structures for in-depth analysis, using Matlab, Simulink, and Python3. Research & Academic experience-Applying Supervised ML (Regression, Decision Tree, Random Forest, KNN) in predictive analytics and Unsupervised ML (Apriori algorithm, K-means) in finding trends-Performing Data Analysis, Transformation, Exploration, Modeling, and Evaluation to provide -> actionable insights-Training models, running experiments, building ML- pipelines, and defining measurements and metrics-Tuning hyperparameters to optimize the ML model-Performing Big Data Query to extract data from large datasets-Deploy ML models in Cloud Platforms: AWS, Azure, GCP-Creating Dashboard Visualizations and Reports in PowerBI, and Tableau.