Ali Guliyev

Data Science & Risk Modelling

Mathematics + Data Science • Python • Probabilistic modelling

Ingolstadt, Germany

About Me

I am finishing a B.Sc. in Data Science at the Catholic University of Eichstätt-Ingolstadt, on top of a B.Sc. in Mathematics from Baku State University. Two degrees in the quantitative core: real analysis, probability and measure theory underneath the machine learning, rather than beside it. I work in Python and SQL, teach linear algebra to 120+ first-year students, and have won five hackathons — placing second in a sixth — building working models under a deadline.

I want to work in catastrophe and climate risk modelling — where the probability theory I was trained in is the job, not a prerequisite.

Contact Me

Skills

Modelling & Statistics

Probability, stochastic processes, measure theory
Regression, classification, time-series, model validation
Scikit-Learn, TensorFlow, PyTorch, statsmodels

Programming & Data

Python (advanced), SQL, Java, C/C++
Pandas, NumPy, Matplotlib, Seaborn
Docker, Git, ETL/EDA, Power BI, Tableau

Working & Languages

Agile, JIRA, Confluence
Azerbaijani, Turkish (native), English (proficient)
German B1 — targeting B2 by end of 2026

My Journey

Nov 2024

Salzburg Hackathon

Winner — €1,000 Prize

Smart tourism recommendation system (open-source)

Nov 2024

VGI Challenge

2nd Place — €3,000

Transport optimization project in Ingolstadt

Nov 2024

Würzburg Hackathon

1st Place

Qualified for the ConsulCon25 conference

Nov 2024

Jan 2025

Data4Good Berlin

1st Place — €500

Won our category at the Hertie School hackathon

Jan 2025

Hack4Good Den Haag

Category Winner

Won our category at Hack4Good

Jan 2025

Feb 2025

ConsulCon25

Conference Speaker

Presented the Consul Democracy Analytics Tool

Feb 2025

Mar 2025

European Healthcare Hackathon

Participant

Competed among international teams in Prague

Mar 2025

Jun 2025

Berlin Blockchain Hackathons

Two 24h Web3 Sprints

Built prototypes in two 24-hour blockchain hackathons

Jun 2025

Jan 2026

Data4Good Berlin

1st Place — €500

Defended the title: first place for the second year running

Jan 2026

Experience

Marketing Analytics & Insights Working Student

MediaMarktSaturn

02/2026 – 07/2026 • Germany

Built and maintained Looker Studio dashboards on BigQuery marketing data used by the insights team.
Wrote SQL to join campaign, product and traffic tables into reusable reporting datasets.
Translated recurring analyst questions into standing reports instead of one-off pulls.

Teaching Assistant — Linear Algebra I & II

Catholic University of Eichstätt-Ingolstadt

10/2024 – 07/2026 • Ingolstadt, Germany

~200 hours across 4 semesters teaching Linear Algebra I & II to 120+ first-year students.
Explained abstract proofs — vector spaces, eigenstructure, linear maps — to students with no prior exposure, in their second language and mine.
Graded alongside a team of tutors, aligning on a shared standard so feedback stayed consistent across cohorts.

IT Infrastructure Support Working Student

Flix

03/2025 – Present • Munich, Germany

Resolved 1,100+ support tickets working part-time alongside full-time study.
On-site support, hardware provisioning, access management and network-side troubleshooting for employees across departments.
Worked in English throughout, turning vague problem reports from non-technical colleagues into actionable tickets.

Education

B.Sc. Data Science

Catholic University of Eichstätt-Ingolstadt— Ingolstadt, Germany(10/2023 – 09/2026 (expected))

GPA 1.77 / 1.0 — German scale, where 1.0 is the best possible grade
Specialization in Applied Mathematics
Key courses: Machine Learning, Deep Learning, Measure Theory for Data Science, Probability Theory, Stochastics
Teaching Assistant for Linear Algebra I & II — ~200 hours, 120+ students

B.Sc. Mathematics

Baku State University— Baku, Azerbaijan(09/2021 – 06/2023)

Final grade 83 / 100 (top quintile)
Advanced coursework: Real Analysis, Abstract Algebra, Differential Equations
A full mathematics degree before the data science one — the reason probabilistic modelling reads as native rather than acquired
Transferred to Germany for a more research-oriented data-science track