Technical Arsenal & Methodologies
Data Science & Machine Learning
- Python - (Pandas, NumPy, SciPy, Scikit-learn, Statsmodels)
- Machine Learning - (Supervised & Unsupervised Learning, Feature Engineering, Model Evaluation)
- Deep Learning - (TensorFlow, Keras, PyTorch) - Familiarity with CNNs, RNNs/LSTMs
- NLP - (Text Preprocessing, Sentiment Analysis, Topic Modeling - spaCy, NLTK, Hugging Face Transformers basics)
- Computer Vision - (Image Classification, Object Detection basics - OpenCV)
- Azure ML - (Workspace Setup, Experiment Tracking, Model Deployment, Endpoints)
- MLOps - (Principles, CI/CD for ML, Monitoring - Azure DevOps, MLflow)
- Statistical Modeling - (Hypothesis Testing, Regression Analysis)
- Spark - (PySpark for large-scale data processing & ML)
- Real-time Analytics - (Concepts, processing streaming data)
Data Engineering
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Factory (Pipelines, Data Flows)
- Azure Data Lake Storage Gen2
- ETL/ELT Pipeline Design & Implementation
- Data Modeling & Warehousing (Kimball/Inmon concepts)
- SQL & NoSQL Databases (SQL Server, Cosmos DB basics)
- Streaming Data Processing (Kafka basics, Azure Stream Analytics basics)
- Hadoop Ecosystem (Conceptual understanding)
Cloud Architecture
- Azure Solutions Architecture (VNet, Compute, Storage, Security)
- Infrastructure as Code (ARM Templates, Bicep - basics)
- Azure DevOps (Repos, Pipelines for CI/CD)
- GitHub Actions
- Serverless Computing (Azure Functions)
- Monitoring & Logging (Azure Monitor)
- Cloud Security Best Practices
Business Intelligence
- Power BI (Data Modeling, DAX, Report Development, Power Query)
- Data Visualization Best Practices
- Automated Reporting Solutions
- Requirements Gathering & Stakeholder Interaction
Programming Languages
- Python
- SQL
- PySpark
- R - (Familiarity)
- Scala - (Familiarity, especially within Spark)
- Java - (Basic understanding)
- C# - (Basic understanding)
Methodologies & Soft Skills
- Agile/Scrum Methodologies
- MLOps Lifecycle Management
- CI/CD Practices
- Version Control (Git, GitHub, Azure Repos)
- Problem Solving & Analytical Thinking
- Project Leadership & Task Management
- Stakeholder Communication & Presentation
- Team Collaboration & Mentoring
- Technical Documentation
- Continuous Learning & Adaptability
Note: Please refine the skill details (add specific libraries/frameworks) and customize the "Methodologies & Soft Skills" category in
app.py.