Welcome to my GitHub profile! I'm a passionate developer who loves turning ideas into code.
- 🔭 I'm currently working on Azure-based data engineering pipelines and ML solutions using Databricks
- 🌱 I'm continuously expanding my expertise in Azure AI services and advanced MLOps practices
- 🔬 Research Focus: Interpretability and explainability for forecasting models - making predictions transparent and trustworthy
- 👯 I'm looking to collaborate on Azure data projects, forecasting research, and explainable AI initiatives
- 💬 Ask me about Azure data services, Databricks, MLOps, XAI, and forecasting model interpretability
- 📫 How to reach me: Connect with me on LinkedIn
- ⚡ Fun fact: I believe the best forecasts are not just accurate, but also explainable and interpretable
- 🏆 Certified: Azure Data Scientist | Azure Data Engineer | Azure AI Engineer | Databricks Data Engineer
My primary research focus is on interpretability and explainability for forecasting models. I'm passionate about:
- 📈 Developing transparent forecasting algorithms that provide clear reasoning behind predictions
- 🔍 Creating explainable AI (XAI) frameworks specifically tailored for time series forecasting
- 🎯 Building trust in predictive models through feature attribution and model interpretability techniques
- 📊 Bridging the gap between complex forecasting models and business stakeholder understanding
- 🧠 Investigating how explainability affects decision-making in forecasting applications
Languages: Python, SQL, Scala, R
Data Science: Pandas, NumPy, Scikit-learn, MLflow, LightGBM
ML/AI: Azure ML Studio, AutoML, Machine Learning Pipelines, MLOps
Forecasting: Prophet, ARIMA, LSTM, Transformer models, Time Series Analysis
Explainability: SHAP, LIME, Permutation Importance, Feature Attribution
Big Data: Databricks, Apache Spark, Delta Lake, Azure Data Factory, Azure Synapse
Databases: Azure SQL Database, Azure Cosmos DB, PostgreSQL, Snowflake
Cloud: Microsoft Azure, Azure Data Lake Storage, Azure Blob Storage
Analytics: Azure Synapse Analytics, Power BI, Azure Analysis Services
Tools: Azure DevOps, Docker, GitHub, Jupyter, VS Code, Azure CLI, Kubernetes
Certifications: Azure Data Scientist Associate, Azure Data Engineer Associate,
Azure AI Engineer Associate, Databricks Certified Data Engineer
⭐️ From thec0dewriter