Leveraged and combined several payment management systems in the mobile app to receive the desired payment flows: user-platform-user, user-platform-merchant, merchant-platform-user. Optimised the usage of 3rd party APIs and their sequence to receive the lowest possible fee.

• Developed an automated Python Machine Learning model that provides post-evaluation for sales support programs and takes mutual cannibalization into account.

• Organized and led an ETL developers team that built Avon Russia's Cloud Data Warehouse, the only data source with consolidated and verified business data for operational analytics.

• With a team of ETL Developers Rebuilt Russian data instance of Global DWH in Snowflake with attached data flow interfaces.

• Initiated, developed, and implemented new Representative discount system and performance tracking dashboard in Tableau to promote productive sales behaviour

• Initiated and performed audit of existing business planning processes, suggested ways to improve demand forecasting accuracy

• Initiated and performed series of strategic analysis on pricing, average order, representatives’ costs and benefits to understand causes behind current business performance and highlighted possible business solutions to the top management and enabled more accurate sales predictions.

During the development of a web application for the TakŻyli startup (takzyli.pl), I employed AI agents to automate the code writing process. The project utilised Microsoft Autogen and CrewAI as multi-agent collaboration orchestrators to streamline the entire application development process. These agents were equipped with tools for checking existing code, modifying it, and inserting new code. They also had the capability to review application logs after implementing changes to self-correct and to inspect the frontend's appearance. The use of multi-agent automation in this project demonstrated its vast potential in enhancing development efficiency and innovation.

Created and developed the application logic for bank product calculators (credits, savings, etc.) from data layer to presentation layer.

Managed and scaled:

⁃ Trading products

⁃ Buy and sell

⁃ Crypto and NFT products

⁃ Alternative payment methods, digital wallet payment methods

⁃ Bank payments (instant, local in UK)

Oversaw partnerships, strategy, GTM, and distribution channels

Managed a team of 20+ product managers and mentored junior PMs

Machine Learning are not robust against adversarial attacks. We conducted approaches to improve that.

As an iOS developer in FG BCS, a leading investment company in the Russian market, I contributed to their app for private investors.

User was able to enter parameters of an account or a card they wanted to create (currency, type, name, etc) and after confirmation refill it from another card, account or with Apple Pay

How to find value -> sell digital SaaS products to enterprise/mid-market customers.

Planning the Success plan/Onboarding steps

Forecasting for retention and expansion

I have closed upsell opportunities to converted 4 customers from monthly->annual subscription. Upselling customer to an Enterprise plan with +>$1000 MRR upsell

As a manager I created, managed and launch products with the total revenue more than $10M+.

Top Skills:

— Product management

— Project Management

— User Experience Design

— User Interface Design

— Business analysis

— Strong Front-End & Back-End Development Background

With extensive team discussions I employed three distinct methodologies, namely the Vader sentiment analysis, Bag of Words, and a Hugging Face BERT language model, for the purpose of tweet classification into two categories: "Disaster Tweets" and "Non-Disaster Tweets.". Using BERT-based language models, natural language processing (NLP), data analysis, TensorFlow, and Python programming, i made an in-depth evaluation to determine the optimal approach for the given task.