I've pursued a Master of Professional Analytics (Applied Machine Intelligence) at Northeastern University Toronto Campus. I'm still a young person who has experimented with several initiatives in each of the aforementioned directions.

Website:

• https://mxnxn.com (Website for Data Scientist)
• https://dev.mxnxn.com (Website for Web developers)
• https://dev.mxnxn.com/skills (Projects for Web developer)

In progress!:

• CI/CD: Jenkins, CircleCI
• DevOps: Apache Kafka & Confluence

Freshly learnt:

• Azure (Deployment, Hypertunning through AutoML, Designing)
• AWS (Pipelining for development and deployment)

Achievements and Completion (2022-2023):

• Rain Forest Classification using different machine-learning models like XGBoost, Gradient Boosting, Logistic Regression, and Random Forest. (Streamline through Scikit-learn Pipelines)
• Successfully implemented BERT with PyTorch for potential risk classification (NLP) including Economic and risk to health for Sofvie Inc, Toronto, Canada.