• Creating fraud detection partly automation system

• Creating system of checking, updating and refilling data (scripts + triggers + manually checking)

• Creating a game selection algorithm to maximize promo discounts

• Metrics monitoring and analysis, deep researching hypothesis

• Rebuilding affiliate working flow and managing it

• All marketing communications with partners, providing a full cycle of marketing campaigns

• Technical communication with partners and inner team; task setting, monitoring and testing for both sides

• Revenue forecasting model

• Creating and updating user behavior analytics system, testing and documenting it

• Creating graphs/dashboards

• Data checking

• Helping with developing union words/rows in rows/paragraphs algorithms

• Developing general documents structuring algorithm

• Developing algorithm for adding fillable fields on pdf document

• Developing algorithm for finding document revision date

• Checking A/B, A/B/C tests; aggregation and comparison documents/users stats; association rules and collaborative filtering

• Data bug fixing

• Development comparison algorithm for binary images.

• Development crop calendar visualization algorithm on ndvi index

• Development and implementation of checking algorithm for user activity increase

• Development and implementation of optimal calculation and increase max cpc algorithm for keywords without information in AdWords

• Retrieve, aggregate, calculate variables and predictions for data from AdWords

• Determination of dynamic scope for recommendation models' results.

• Development and implementation of the model A/B/n testing.

• Development and implementation of generalization index model for site performance.

• Development and implementation of statistical algorithms based on ssa methodologies (component analysis, reconstruction, forecasting).

• Development and implementation of algorithms for analyzing the financial indicators data set structure.

• Development and implementation of rotation charts algorithm.

• Research, construction of mathematical models and implementation of them (Fortran).

• Preparation, interpretation and presentation of results of the calculation model for the specific mechanical problems.

Implementation of the interface part of the reporting system.

Combining of data from three systems (Upwork, Elance and internal) using C, NodeJS, JavaScript.

Implementation of classification and regression tasks based on the basic machine learning algorithms (using pyspark, scikit-learn)