Skills

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Python

I’ve been using Python in my academic and personal Data Science projects and learning new skills on a daily basis. Some of the libraries I have experience with include NumPy, Pandas, Sklearn for analysis, and Matplotlib and Seaborn for visualization.

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Alteryx

I began learning Alteryx on the job back in 2018, and since then, most of my work projects involve using Alteryx to build data pipelines for automating tasks like consolidation, calculation, extraction, validation etc. I’ve tought numerous professionals both within my company and externally, on data analysis and management using Alteryx. I’m also an Alteryx Designer Advanced Certified professional.

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Power BI

I learned Power BI, DAX and data visualization techniques through self-study and several courses at work. I’m a Microsoft-certified Power BI Data Analyst Associate

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R

During my college years, I used R extensively to practice statistics and econometrics as well as for my master’s thesis research. In my first professional role, I continued to apply R for statistical analysis.

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Azure

As data repositories and accessibility requirements grew at work, I started exploring cloud solutions. I soon gained interest in AI tools in the cloud and started expanding my knowlerdge through self-paced learning and case studies. To validate my expertise, I earned several certifications including Azure Data Scientist Associate and Azure AI Engineer Associate.

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SQL

I’ve used SQL nearly throughout my entire work carreer, starting with PL/SQL and later on T-SQL for querying, developing data warehouses, stored procedures and troubleshooting data and database issues.

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Tableau

I picked up Tableau in 2024 and was instantly hooked by the intuitive UX, rendering speed and how much you can control and customize the visualizations compared to other BI platforms. I’m continously improving my Tableau skills and I keep using it in my data projects.