Olesja Fink

Developed and implemented a scalable Anti-Fraud and Anti-Spam solution for SMS services from the ground up. Managed the full project lifecycle: from ad-hoc analytics and data exploration to model development and monitoring. Ad-hoc Analysis. Technologies & Methods: Python (Pandas, Scikit-Learn, PyTorch, XGBoost, CatBoost, RNN, PCA, DBSCAN, tsfresh, Prophet, time-series analysis, Word2Vec), MS SQL (database queries), Prometheus & Grafana (real-time monitoring and metric visualization).

Relocation to Germany, German language courses, full-time parenting, self-learning for Data Science during Covid-19 lockdowns (full list in "Qualifications and achievements") • Python courses (Python for Data Analysis and AI, Algorithms, WEB Parsing) • Mathematics (Discrete Mathematics, Linear Algebra, Statistics) • Databases (SQL, SQLite) • Data Science, Machine Learning & Artificial Intelligence courses

• 3.7 times sales growth without cost change by distribution system analysis • created a new successful product by insights from company's call centre data • built a loyalty programme for B2B and B2C based on the market research

• Optimised in first year: 10% more customers, 160% more income, 16% less costs • Strongly by data research created products (4 new gaming portals) successfully pushed to the market • Operational management

• Unique and successful moves inspired by data, such as achieving negative churn values, an advertising campaign with a "zero" budget or implementing a sales plan without technical network capacity (no fraud) and etc. • Company became a market leader, up to 98% share from 17% since my start (9 networks on the market) • Created brand "BM Telecom" was sold for $1,000,000 in 2002

• Intranet site for sale support created (web-scraping news, PoS materials) • Neural Network Classifier for potential customers prediction created (by BrainMaker package)

24-week intensive coding bootcamp to learn Data Science with Python: Data Analytics with SQL, Pandas, Numpy, and Matplotlib and Seaborn; Statistics with Scipy and Statsmodels; Machine Learning with Scikit-learn; Deep Learning with TensorFlow Keras; and develop Data Products with Google Cloud Platform, ML Flow, and Streamlit. The best personal result at the milestone Kaggle-competition, both for students and teachers (House-price-prediction)

Specialization in Management & Marketing in IT& Telecommunications (5yrs. programme)