I am an experienced data scientist and AI engineer. For many years, I have been involved in developing methods and conducting qualitative and quantitative data analyses. My strength lies in integrating my diverse academic backgrounds to derive meaningful insights from complex data.
I specialize in the development of machine learning algorithms, utilizing Python, R, SAS, and SQL. I have hands-on experience in developing AI solutions in the cloud and can address your data-centric questions using these technologies.
In the past, I have created AI models for optimizing decision-making processes in the healthcare insurance and biopharmaceutical industries.
My experience and expertise include:
- Development of machine learning algorithms
- Qualitative and quantitative data analysis
- Statistical modeling and inference
- Development of AI solutions in the cloud
- Proficiency in Python, R, SAS, and SQL
- Creation of AI models for healthcare insurance and biopharmaceutical applications.
Here are some technologies, methods, and tools I specialize in:
- **Deep Learning**
- **Reinforcement Learning**
- **Big Data with Spark and Hadoop**
- **Microsoft Azure**
z. B. **Azure Databricks**, **Azure Data Factory**, **Azure Synapse Analytics**, **Azure SQL Database**, **Azure Apache Spark Pools**, **Data Warehouse Analytics with Microsoft Azure**, **Azure ML Studio**
- **Amazon Web Services**
z. B. *Amazon Redshift*, *Amazon SageMaker*, **Amazon Comprehend**, **Amazon Lex**
- **Google Cloud**
z. B. **BigQuery**, **Vertex AI**, **AutoML**, **MLOps**, **TensorFlow**, **ML Pipelines**
- **IBM Cloud**
z. B. **Watson Studio**, **Watson Machine Learning**, **Watson Discovery**, **Watson Assistant**
- **Natural Language Processing** (NLP)
- **Clinical Trials**, **Epidemiology**.
I am confident that my experience and skills enable me to effectively tackle data-related challenges and provide valuable insights.