I, Md Ashfaqul Haque John, an AI research scientist with a passion for exploring the vast potential of machine learning, data science, and natural language processing with a couple of published research papers on machine learning, have established a strong foundation in the field of AI. Currently, I am pursuing an MSc in Computer Science with a focus on data science and am keen on contributing to the development of AI and exploring new frontiers.

I have also done work on federated learning. I have proficiency in Data Cleaning, Data Visualization, Feature Engineering, Hyperparameter Tuning, and implementing ML & DL models using sci-kit-learn, TensorFlow, Py Torch, and fast.ai. and also, data visualization using Open Refine. Additionally, I am adept at writing high-quality research papers, which is a valuable skill in any research field.

I completed my BSc from RUET in ETE with a 1st class grade (CGPA: 3.04 scale 4.00), then worked as a service engineer. After that started a tech-based YouTube channel. But both of these got stopped amid this pandemic. Then started to work on Machine Learning and started my MSc at Brac University, in the meantime started teaching HSC students Math, Physics, and ICT. Now I am working as a researcher-admin at a Canadian immigration company remotely temporarily. I have completed the courses of MSc and only thesis remaining with a CGPA of 3.95 (out of 4.00) after completing the courses.

Here are the research projects I have done on Machine Learning:

• Symptomatic & Non-Symptomatic Hepatocellular Carcinoma Prediction using Machine Learning.

• ML Classifier Comparative Performance Analysis of Prediction on Cervical Cancer.

• Prediction on Intent Classification of Java and C# Web queries using Semi-supervision.

• Implementing Horizontal Federated Learning with Random Forest in Healthcare Sector.

Recently completed a project on Computer Vision which is on dental caries prediction using a modified transformer model and also used Gradcam for interpretability.

With a broad knowledge of AI and an eagerness to keep learning, Consider me a strong candidate for the AI, ML, as well as DL engineer or researcher.

 Clean Data
 Missing Value Imputation
 Visualizing
 EDA
 Feature Engineering
 Build Predictive Models
 Hyperparameter Tuning (Tuning the Model)
 Find the Best Optimal Predictive Model
 Classification (Text / Image)
 Regression
 Deep learning Models (Pytorch / Tensor Flow-Keras)
 Transformer Models
 ResNet, VGG Net, Inception, Mobile Net,
 NLP
 Custom Deep Learning Model
 Fusion Model
 Meta-Learning Model

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