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Марія
Дата-аналітик
- Age:
- 21 years
- City:
- Lviv
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KRAVCHUK
MARIA
Master’s student in Data science at Lviv Polytechnic
National University. Holds a Bachelor's degree in
System Analysis (Data Science) from Ivan Franko
National University of Lviv. Strong foundation in
Bayesian modeling, stochastic optimization (Mean-
CVaR) and predictive analytics in Python.
[open contact info ](look above in the "contact info" section) EDUCATION
[open contact info ](look above in the "contact info" section) LVIV POLYTECHNIC NATIONAL UNIVERSITY | MASTER OF SCIENCE IN DATA
SCIENCE (2026 – PRESENT)
IVAN FRANKO NATIONAL UNIVERSITY OF LVIV | BACHELOR OF SCIENCE IN
HARD SKILLS SYSTEM ANALYSIS (DATA SCIENCE) (2022 – 2026)
EXPERIENCE
Python (Pandas, NumPy, SciPy).
SQL and DBs
Excel STUDENT PROJECT – CITY GUIDE APP
Linear Algebra LVIV IT CLUSTER ACADEMY PROJECT
Mathematical Analysis
Mathematical statistics PARTICIPATED IN A TEAM PROJECT TO DEVELOP A MOBILE
Git/GitHub APPLICATION FOR EXPLORING NEW CITIES.
Data Cleaning & ETL RESPONSIBLE FOR COLLECTING, CLEANING, AND ORGANIZING
LARGE-SCALE LOCATION DATA (VENUES, CATEGORIES, CONTACTS,
ETC.).
THE PROJECT RECEIVED HIGH RECOGNITION, LEADING TO AN
INVITATION TO THE LVIV IT CLUSTER'S SUMMER STARTUP SCHOOL,
WHERE WE CONTINUED DEVELOPING IT AS A MINI-STARTUP.
SOFT SKILLS
COURSEWORK — BAYESIAN MODELS FOR BUDGET ALLOCATION (2025)
Leadership BUILT BASELINE BAYESIAN REGRESSION MODELS IN PYTHON TO
Presentation skills ESTIMATE MARKETING CHANNEL EFFECTIVENESS.
Ability to work in a team PREPROCESSED MULTI-SOURCE DATA AND CONDUCTED POSTERIOR
Attention to detail INFERENCE TO EVALUATE CAMPAIGN PERFORMANCE.
Analytical thinking
Constant desire to learn and BACHELOR'S THESIS — BAYESIAN MMM & STOCHASTIC OPTIMIZATION
develop (DSS) (JAN 2026 – JUN 2026)
LANGUAGE DEVELOPED AN END-TO-END DSS WITH BAYESIAN MMM (PYMC)
MODELING ADSTOCK AND SATURATION EFFECTS.
OPTIMIZED BUDGET VIA MEAN-CVAR ACROSS 5,000 MONTE CARLO
English (Upper-intermediate) SCENARIOS (+110% RISK-ADJUSTED GAIN).
VALIDATED CONVERGENCE VIA GELMAN-RUBIN DIAGNOSTICS (R-HAT
≤ 1.01) AND PREDICTIVE CHECKS (94% HDI).
MARIA
Master’s student in Data science at Lviv Polytechnic
National University. Holds a Bachelor's degree in
System Analysis (Data Science) from Ivan Franko
National University of Lviv. Strong foundation in
Bayesian modeling, stochastic optimization (Mean-
CVaR) and predictive analytics in Python.
[
[
SCIENCE (2026 – PRESENT)
IVAN FRANKO NATIONAL UNIVERSITY OF LVIV | BACHELOR OF SCIENCE IN
HARD SKILLS SYSTEM ANALYSIS (DATA SCIENCE) (2022 – 2026)
EXPERIENCE
Python (Pandas, NumPy, SciPy).
SQL and DBs
Excel STUDENT PROJECT – CITY GUIDE APP
Linear Algebra LVIV IT CLUSTER ACADEMY PROJECT
Mathematical Analysis
Mathematical statistics PARTICIPATED IN A TEAM PROJECT TO DEVELOP A MOBILE
Git/GitHub APPLICATION FOR EXPLORING NEW CITIES.
Data Cleaning & ETL RESPONSIBLE FOR COLLECTING, CLEANING, AND ORGANIZING
LARGE-SCALE LOCATION DATA (VENUES, CATEGORIES, CONTACTS,
ETC.).
THE PROJECT RECEIVED HIGH RECOGNITION, LEADING TO AN
INVITATION TO THE LVIV IT CLUSTER'S SUMMER STARTUP SCHOOL,
WHERE WE CONTINUED DEVELOPING IT AS A MINI-STARTUP.
SOFT SKILLS
COURSEWORK — BAYESIAN MODELS FOR BUDGET ALLOCATION (2025)
Leadership BUILT BASELINE BAYESIAN REGRESSION MODELS IN PYTHON TO
Presentation skills ESTIMATE MARKETING CHANNEL EFFECTIVENESS.
Ability to work in a team PREPROCESSED MULTI-SOURCE DATA AND CONDUCTED POSTERIOR
Attention to detail INFERENCE TO EVALUATE CAMPAIGN PERFORMANCE.
Analytical thinking
Constant desire to learn and BACHELOR'S THESIS — BAYESIAN MMM & STOCHASTIC OPTIMIZATION
develop (DSS) (JAN 2026 – JUN 2026)
LANGUAGE DEVELOPED AN END-TO-END DSS WITH BAYESIAN MMM (PYMC)
MODELING ADSTOCK AND SATURATION EFFECTS.
OPTIMIZED BUDGET VIA MEAN-CVAR ACROSS 5,000 MONTE CARLO
English (Upper-intermediate) SCENARIOS (+110% RISK-ADJUSTED GAIN).
VALIDATED CONVERGENCE VIA GELMAN-RUBIN DIAGNOSTICS (R-HAT
≤ 1.01) AND PREDICTIVE CHECKS (94% HDI).
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The candidate's resume is posted at https://www.work.ua/resumes/15913033/