Filip M.-Data Scientist

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Experience
Statistical Modeling of Betting Odds
- Development of a model to identify value bets in the context of odds shading
- Independent collection and cleaning of extensive datasets (web scraping)
- Application of financial and statistical methods to generate own odds forecasts and achieve a statistical advantage over bookmakers
Data Analyst in Product Development
Lebensversicherung 1871
- Development and implementation of interactive dashboards (Tableau) to visualize complex market and business data
- Analysis of risk profiles in life insurance and benchmarking of price-performance positioning against competitors
- Derivation of strategic recommendations for product development through trend analyses with a time horizon of up to five years
- Support for data-driven decision-making to optimize the competitiveness of the product portfolio
Clinical Data Analysis & Survival Analysis
- Statistical evaluation of medication effectiveness using Survival Analysis, with specific consideration of individual patient factors
- Conducting complex descriptive analyses and applying Kaplan-Meier estimators and Cox regression models to model time-to-event data
- Identification and visualization of significant gender-specific differences in treatment response as a basis for medical insights
Predictive Analytics – Flight Delay App
- Development of a software solution to predict flight delays based on historical airport data
- Implementation of a prediction model considering various influencing factors (route, time, historical flight data, weather)
Internship - Customer Intelligence & Data Science
Versicherungskammer Bayern (VKB)
- Development of predictive ML models to identify potential new business (in Python)
- Implementation of LLM-based solutions for the efficient evaluation and analysis of customer surveys to optimize processes
- Improvement and optimization of existing prediction models for more accurate forecasting of customer satisfaction and customer traceability (in R)
- Automation and optimization of data-driven insight processes in the area of Customer Analytics
Linear Algebra Tutor
- Supporting teaching by leading exercise groups and grading coursework
Statistics & Stochastics Tutor
- Teaching complex statistical concepts and stochastic models to students
- Supervising exercise groups and supporting preparation for module examinations
Industry experience
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Experienced in Banking and Finance, Insurance, Healthcare, Pharmaceutical, and Information Technology.
Business area experience
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Experienced in Business Intelligence, Research and Development, Product Development, and Information Technology.
Skills
- Python
- R (Survival Analysis)
- Matlab
- Ms-Office
- Google Workspace
- Sql
- Sap
- Tableau
- Power Bi
Languages
Education
Technische Hochschule Augsburg
Bachelor of Science · Data Science · Augsburg, Germany
FOS/BOS Neusäß
Fachabitur · Neusäß, Germany
Realschule Heinrich von Buz Augsburg
Mittlere Reife · Augsburg, Germany
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Filip is based in Augsburg, Germany.
Filip speaks the following languages: Serbian (Native), German (Advanced), English (Advanced).
Filip has at least 1 year of experience. During this time, Filip has worked in at least 5 different roles and for 2 different companies. The average length of individual experience is 2 months. Note that Filip may not have shared all experience and actually has more experience.
Based on recent experience, Filip would be well-suited for roles such as: Statistical Modeling of Betting Odds, Data Analyst in Product Development, Clinical Data Analysis & Survival Analysis.
Filip's most recent position is Statistical Modeling of Betting Odds.
In recent years, Filip has worked for Lebensversicherung 1871 and Versicherungskammer Bayern (VKB).
Filip is most experienced in industries like Banking and Finance, Insurance, and Healthcare. Filip also has some experience in Pharmaceutical and Information Technology.
Filip is most experienced in business areas like Business Intelligence, Product Development, and Research and Development. Filip also has some experience in Information Technology.
Filip holds a Bachelor in Data Science from Technische Hochschule Augsburg.
Filip is immediately available for suitable projects.
Daily rate distribution
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 26 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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