Over a three-year period, we worked closely with one of Russia's largest banks to successfully establish a robust AI monitoring system. This system operates with precision to swiftly address system failures by pinpointing their root causes and making well-informed decisions. The model expanded the scope of forecasted indicators to a total of 50,000, achieving an 85% reduction in false positive alerts. It also delivered a 20% improvement in precision compared to previous methodologies.

• Gathered a team of BI Analysts and Developers from the scratch

• Created a data warehouse prototype using Qlik Sense and built a full commercial business reporting system from the ground

• Complete evaluation of the company's business reporting system, including financial reporting. Sources of financial losses and inefficiency have been identified and quantified.

• Provided recommendations to the operations office on sales enhancement activities and monitored implementation, which resulted in a significant revenue impact.

• Built demand forecasting model using XGBoost Regression

• Developed a universal platform for AB testing.

• Led the setup of a web analytics system from scratch across multiple websites and a mobile application, including change monitoring and business reporting.

• Built a team of marketing analytics to assess the effectiveness of advertising placements of various partners on the site.

Introduced Product Lifecycle Management systems in production, prepared technical documentation, supervised architecture creation

Went through a full startup routine in creating the product, starting with generating ideas through ideations and co creations, making mind maps of them on Miro, leading it to a finished tech plan for developers and making it into life.

Reviewed design via Figma and made testplans with researchers to verify ideas on target audience.

Made integrations with bank front and back systems to aggregate data and made profit of it for our clients with complete analytics of their finances and budget that makes no one at the market right now together with banking functions.

This is a case of MedTech and InsurTech company. My team saw an opportunity to enhance our main product`s (corporate medical insurance) value proposition and boost revenue by launching a full-scale in-house online psychological hotline. I took on supporting product launch, carrying out custdevs and research, and then made first ever sales for the product before it even launched. This enabled sales team to generate new revenue and demonstrated product-market fir needed to request development funds from investors and the board.

A developer with over 10 years of experience in the field of Internet information resources. Implemented the product approach in the company and led product transition to a new technology stack.

As a resident mentor I've had the chance to mentor 100's of startups around the Globe, being part of the very exclusive group of mentors who got a perfect 5 out of 5 rating from both founders and 500's staff. Apart from mentoring I've also led the development of the curriculum and materials of 500's current Global Growth Program.

500 STARTUPS is the most active early stage global venture capital firm. Notable investments in the 500 portfolio include Twilio, Canva, The RealReal, Talkdesk, Udemy and Ipsy.

Tasks:

1. Increase the number of reviews on Yandex about the project;

2. Increase the rating of reviews.

Task implementation:

1. I thought over the mechanics of sending letters to loyal users (more than 3 orders) after placing an order with a request to leave a review on Yandex and receive a gift from partners for it;

2. Discussed and agreed on the mechanics with a partner on the project side;

3. Received the html layout of the letter;

4. I set a task for the layout team - to make up a letter;

5. After the layout of the letter, I set the task to the support team to conduct checking on all possible mailboxes and browsers;

6. After checking the widget, I sent a detailed plan for the implementation of mechanics to colleagues on the project side;

7. Agreed on the implementation of mechanics on the project.

Result:

For the period from 2020 to November 2022 (when the mechanics were not implemented):

• there were 186 ratings and a rating of 4.6 stars

For the period from November 2022 to February 2023 (when the mechanics were implemented):

• 179 ratings were left and the rating of the project on the Yandex resource is now 5 stars

Conducted user and coach interviews to better understand their needs and preferences. We then created a simple, user-friendly version of user profile cards that included basic information, the practices the user was working on, and a progress flow that showed how long they had been working and what results they had achieved so far. This helped coaches to provide more targeted support and guidance to their clients and enabled users to easily track their progress over time. Additionally, we implemented a more standardized approach to coaching, which allowed us to track performance and identify areas for improvement in the coaching process.