About Me
"Turning data into insights, one algorithm at a time."
My name is Alexander Tanev, and I have always been passionate about mathematics, problem‑solving, and analytical thinking. From a young age, logic, patterns, and structured reasoning have fascinated me, leading to a strong interest in data science.
Currently pursuing a degree in Applied Mathematics with a minor in Data Science, I have developed expertise in data analysis, statistical modeling, and optimization. This background enables me to extract meaningful insights from complex datasets and apply structured methodologies to real‑world challenges.
Always eager to explore new technologies, collaborate on innovative projects, and push the boundaries of what data science can achieve.
Work Experience
Data Analyst Intern — Swinkels Family Brewers (02.2023 – 07.2023)
- Analyzed data to identify product‑market fit across various Dutch regions.
- Created actionable market‑research insights to support business strategies.
- Presented findings using Power BI and Tableau for clear decision‑making.
Research Analyst Intern — Fontys University R&D Dept. (02.2024 – 07.2024)
- Extracted actionable recommendations from qualitative data.
- Turned Excel‑based feedback into insights that enhanced university partnerships.
Data Analyst Intern — XIVER MEMS Foundry (03.2025 – ongoing)
- Implementing and monitoring data‑collection pipelines to optimize production flow.
- Conducting descriptive and predictive analyses to improve manufacturing efficiency.
- Collaborating with cross‑functional teams to embed data‑driven insights in strategy.
Education
German Language‑Speaking High School “Goethe” (2017 – 2022)
- Specialized in Mathematics, Physics, and Information Technology.
- Gained a strong foundation in applied mathematics and advanced physics.
BSc in Applied Mathematics (2022 – 2026)
Fontys University of Applied Sciences, Eindhoven, NL
- Focused on machine learning, statistical modeling, and optimization.
- Completed specialized coursework in data‑driven problem‑solving.
Minor Abroad (2024 – 2025)
LIUC Business University, Castellanza, Italy
- Specialized in econometrics, business strategy, and SME marketing.
- Applied econometric modeling to real‑world market analytics projects.
Professional Skills
- Thriving in dynamic, multicultural environments.
- Demonstrating initiative and proactive problem‑solving.
- Translating complex ideas and data‑driven insights into clear narratives.
Certifications
Machine Learning & AI Course (Udemy)
Gained hands‑on insight into the complete ML pipeline—from rigorous data cleansing and feature design to training, tuning, and evaluating supervised, unsupervised, and reinforcement algorithms.
Data Science Course (Udemy)
Deepened my statistical intuition and Python proficiency by building end‑to‑end analytical workflows that transform messy datasets into clear, business‑ready narratives.
Tableau Analytics Course (Udemy)
Developed the ability to craft interactive dashboards, blend heterogeneous data sources, and apply LOD calculations and design principles to deliver persuasive visual stories.
Data Engineering Course (Udemy)
Acquired a solid understanding in modern data‑pipeline architecture and governance, dissecting the theory behind batch and real‑time processing with SQL, Python, Spark, and Airflow.
Data Warehousing & ETL Process Course (Udemy)
Explored the core principles of enterprise data warehousing—dimensional modeling, star-vs-snowflake schema theory, ETL architecture, scalability, and governance.