- Apache Spark
- Azure Data Factory
- Azure Data Lake
- Azure Databricks
- Hadoop
- MySQL
- NoSQL
- Python
- Azure
- SQL
- R
- Teamwork and collaboration
- Big Data
- Data Analysis
- Data Engineering
- Data Science
- Data Visualization
- Data Warehousing
- Data Wrangling
- Database Marketing
- Deep Learning
- ETL (Extract
- Machine learning
- Machine Learning Algorithms
- Natural language processing (NLP)
- Predictive Analytics
- Predictive Modeling
- Regression Analysis
- Statistical Analysis
As a data professional, I have a strong background in statistics and hands-on experience working on a variety of data projects, including data pipelines, interactive dashboards using R Shiny, statistical analyses, data visualization, and machine learning applications. My expertise can add value to research and development projects in the following ways:
I bridge the gap between data science and engineering teams by leveraging both my computer science and statistics skills to facilitate communication between the teams.
I have extensive experience with computational and software development methods using Python, R, and SQL.
My deep understanding of machine learning and deep learning methods, such as linear regression, logistic regression, GAM, SVM, KNN, random forest, ANN, and LSTM, allows me to develop and optimize effective machine learning models.
I am skilled in designing, implementing, and optimizing data transformation processes and have hands-on experience with ETL tools such as SSIS and Talend.
Additionally, I have experience working with Auto Machine Learning tools such as Paxata and datarobot. In the field of image processing, I have a deep knowledge of different libraries, including YOLO, OpenCV, and Detectron2.