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 of Applied Sciences R&D Department (02.2024 - 07.2024)
- Extracted actionable recommendations from qualitative data.
- Transformed feedback from Excel files into insights that enhanced university research 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 integrate data-driven insights into strategic decisions.
Education
German Language-Speaking High School "Goethe" (2017 - 2022)
- Specialized in Mathematics, Physics, and Information Technology.
- Strong foundation in applied mathematics and advanced physics.
BSc in Applied Mathematics (2022 - 2026)
Fontys University of Applied Sciences, Eindhoven, the Netherlands
- Focus on machine learning, statistical modeling, and optimization.
- Specialized coursework in data-driven problem-solving.
Minor Abroad for 6 months (2024 - 2025)
LIUC Business University, Castellanza, Italy
- Specialized in econometrics, business strategy, and marketing for SMEs.
- Gained experience in market analytics and econometric modeling.
Professional Skills
- Working effectively in dynamic, multicultural environments.
- Demonstrating initiative and proactive problem-solving.
- Communicating complex ideas and data-driven insights clearly.
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)
Learned to design interactive dashboards, blend heterogeneous data sources, and apply LOD calculations and design principles to deliver persuasive visual stories.
Data Engineering Certification (Udemy)
Acquired a solid grounding in modern data-pipeline architecture and governance, dissecting the theory behind batch and real-time processing with SQL, Python, Spark, and Airflow.
Master Data Warehousing, Dimensional Modeling & ETL Process (Udemy)
Developed a comprehensive conceptual toolkit for enterprise data warehousing—designing dimensional models, selecting star versus snowflake schemas, and planning scalable, well-governed ETL strategies.
Data Science for Business (Udemy)
Applied AI, deep learning, NLP, forecasting, and computer‑vision techniques to tackle attrition prediction, disease detection, price forecasting, defect classification, customer segmentation, and sentiment analysis across six real‑world business cases.