Results-driven analyst with a strong background in qualitative and quantitative research, seeking to leverage my skills in data analysis, visualisation, and automation to transition into a data analyst role. My expertise in Python, SQL, Tableau, and Excel, combined with my experience in project coordination and stakeholder management, positions me well to contribute effectively to data-driven decision making and business growth.

Links

<aside> <img src="/icons/link_gray.svg" alt="/icons/link_gray.svg" width="40px" /> LinkedIn →

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<aside> <img src="/icons/link_gray.svg" alt="/icons/link_gray.svg" width="40px" /> Tableau Public →

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<aside> <img src="/icons/link_gray.svg" alt="/icons/link_gray.svg" width="40px" /> GitHub →

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<aside> <img src="/icons/link_gray.svg" alt="/icons/link_gray.svg" width="40px" /> Download CV →

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Contacts

<aside> <img src="/icons/mail_green.svg" alt="/icons/mail_green.svg" width="40px" /> Email [email protected]

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<aside> <img src="/icons/phone-call_green.svg" alt="/icons/phone-call_green.svg" width="40px" /> Phone

+49 1573 9896816

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<aside> <img src="/icons/map-pin-alternate_green.svg" alt="/icons/map-pin-alternate_green.svg" width="40px" /> Location

13409, Berlin, DE

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Technical Proficiency

Python • Intermediate (Packages include Pandas, Seaborn, SciPy, Selenium, BeauftifulSoup)
SQL • Intermediate
Excel • Intermediate
Tableau • Intermediate

Statistical Analysis

Solid grasp over regression, hypothesis testing, probability distributions and other statistical concepts
Adept at interpreting data to identify trends, patterns, and correlations

Data Wrangling

Proficient in cleaning, transforming, and merging data sets from various sources
Knowledge of data preprocessing techniques, including imputation, normalisation, and outlier handling