Data Analysis: Experienced in using R, Python, SQL, Power Query and DAX for data manipulation, cleaning, and mining. Proficient
in using pandas, NumPy, and tidyverse packages for data manipulation and analysis.
Machine Learning: Knowledgeable in scikit-learn and tidymodels for building and implementing machine learning models,
forecasting, and predictive analysis. Experienced in using Azure Machine Learning for building, training, and deploying machine
learning models.
Data Visualization: Proficient in data visualization tools like Power BI, matplotlib, and ggplot2 for creating informative and
visually appealing charts, graphs, and dashboards.
Automation: Proficient in automating data pipelines using APIs to streamline data collection, processing, and analysis workflows.
Other Skills: Proficient in communicating insights from data analysis to both technical and non-technical audiences through
effective visualizations, presentations, and reports. Skilled in collaborating with cross-functional teams to achieve researchdriven solutions to complex problems.
