Mohammad Nozari Zarmehri

I manage a data scientist team working on exciting carbon market projects. Some of our projects are:

- Sentiment analysis to rate different entities within the market

- Carbon credit price calculation and forecasting

- Data scraping from different data sources

- Document querying to extract insights

- Carbon credit demand projection

- Power BI dashboards

o Use the AWS and GCP platforms for different projects, o Data analysis and feature engineering to select the most effective inputs for modeling, o Design and deploy Machine Learning models o Use Reinforcement Learning for flight/hotel price recommendations, o Analyze time series and develop demand and revenue forecasting apps o Use Text mining for trend analysis, o Technologies:

▪ AWS and GCP services,

▪ MLflow, ECS, ECR for model lifecycle management,

▪ BigQuery and Snow Flake for data storage,

▪ Terraform and Git CI/CD for pipeline management,

▪ Vscode/PyCharm for development,

▪ Python (SciKit-Learn, Statsmodels, NumPy, SciPy, Matplotlib, TensorFlow, Keras), Ray RLlib, Jupyter Notebooks for data analysis, model creation, and deployment,

▪ Git and GitHub for version control

▪ Agile scrum methodology for project management

o Using the Azure platform for data insights projects o Create ETL pipeline using DBT, o Using machine learning techniques to build cloud-based services, o Technologies: Databricks, Azure Bot Service and Luis framework, AKS, DBT, Azure DevOps (CI/CD), Tensorflow, VSCode, Python, Jupyter Notebooks, Power BI, seaborn