Vadym Yatsyna
Github
https://github.com/vadymyats
Kaggel:
Phone number:
E-mail:
https://www.kaggle.com/vadymyat
+38 --
Goal achieving a position of Data Scientist
Personal summary:
Passionate data scientist with 2 years experience in data mining and python coding and
1+ year predictive modeling experience. Have an analytical mindset and good understanding of
product deployment.
Technology stack:
• Python framework: numpy, pandas, scipy, scikit-learn,;
• Exploratory Data Analysis (EDA): feature engineering, feature selection, preprocessing e.t.;
• Data visualization: plotly.express, seaborn, matplotlib;
• Supervised Machine Learning: LinearRegression, LogisticRegression, DesitionTreeClassifier,
RandomForest, XGBoost, CatBoost.
• Unsupervised machine learning: Kmeans, EM, DBSCAN.
• PostgreSQL.
• English - B1 I can be interviewed in this language
Work Experience:
Projects in Data Science samples:
1. Bank - attract customers to open a deposit. Data analysis, identification of patterns and
the search for decisive factors that influenced the fact that the client invested in this
bank.
2. Online store - segment existing customers, interpret these segments and determine the
strategy of interaction with them. Construction of a model of clustering of clients on the
basis of their purchasing power, frequency of orders and the term of the last purchase.
3. City taxi - Build a model that will predict the total duration of a taxi ride around the city.
Marketing analyst
2019 - present time
Everlast (https://everlast.ua/)
Production company
• Applying and preparing different types of product analytics and financial reports.
• Products cost ratio and price analysis;
• Profitability and marginal analysis for the group of products;
• tckb;
• Customer analysis
• Tank semi-trailers market analysis and identifying promising segments, monitoring trends, identifying promising areas for
launching new products;
• Сompetitor due diligence: main players, market structure, competitors' production volumes, development dynamics,
assortment, design, price, sales structure;
• Google analytics report;
Marketing analyst
2013 - 2017
Alcoline
FMCG company
1. Alcohol market analysis and identification of perspective segments, looking for new product ideas, trend tracking, A / B
testing, analysis of consumer preferences.
2. Collection, structuring, analysis and forecasting of data. Working with an array of data. Preparing reports for the sales
department.
3. Matrix assortment processing.
4. Competitors researching: main players, market structure, market share, development dynamics, assortment, design, price,
sales structure within a separate line, etc.
5. Organization and conduct of marketing research.
Education:
2022 SkillFactory
IT
• Strong knowledge in linear algebra, probability theory, mathematical statistics.
• Advanced programming skills in Python.
• Parsing data from web sources, API, data cleaning and visualization.
• Intelligence data analysis. Feature engineering, statistical tests, A/B testing.
• Supervised machine learning: Regression and Classification.
• Unsupervised machine learning: clustering, dimensionality reduction.
• Data validation and model evaluation.
2011 Odessa State Economic University
Department of International Economics, specialty Marketing