Created a universal method of transitioning to lean manufacturing for factories.

Led custdev and research, business development and product positioning.

Identified the challenge of effectively merging two different platforms to provide a seamless user experience. To address this, I worked closely with the development teams (Yandex.Eats and Yandex.Go) to streamline the integration process and ensure a smooth transition for users.

Additionally, I collaborated with the UX team to implement design changes that enhanced the overall user experience.

By coordinating with the marketing team, we were able to create a successful launch campaign that effectively promoted the new features to our users.

Overall, my strategic approach and cross-functional collaboration allowed us to successfully integrate the services and enhance the user experience.

TinderGPT is designed as an AI assistant to streamline the dating experience, sparing users from the time-consuming and often uncertain process of messaging on dating apps. This AI handles everything on behalf of the user—from initiating conversations with messages tailored to the profile in question, crafting engaging interactions, to arranging dates and providing the user with the match’s contact information.

As an iOS developer in FG BCS, a leading investment company in the Russian market, I contributed to their app for private investors. I developed a transaction history feature that allowed users to have a full control of their cash flow budget. I implemented an infinite scroll and comprehensive filter. Users could find the details of each transaction in the modal view and get the summary of their expenses and earnings as a stacked bar chart.

Achieved an 80% accuracy rate in classifying celestial objects as Stars, Galaxies, or Quasi-Stellar Objects using a machine learning model that analyzes solar data. It was done through Data Collection, Data Preprocessing, Model Optimization, Iterative Improvement and Documentation.I Gathered a comprehensive dataset of solar data, including various features and attributes. I then Cleaned the dataset by handling missing values and outliers. Further Chosing appropriate machine learning algorithms for classification tasks and then Fine-tune hyperparameters of the model using techniques like grid search or random search to improve its performance. Lastly, Documented the entire process, including data sources, preprocessing steps, model architecture, and results, to facilitate reproducibility and collaboration.

• Created a team and built a business insights and analytics function from the scratch

• Successful converted Marketing Research department to big scale Business Insights function, combining under one roof Marketing Research, Demand forecasting, Trade efficiency analysis & modeling, marketing planning and reporting.

• Successful development and set up of Demand Forecasting process across all 6 markets.

• Improvement of deployed Primary Research methodologies and internal data sources.

• Development and launch of new analytical reporting initiatives.

I created a new authentication mechanism for Eze that followed the style guide. To make it easier for visitors to authenticate, I added a simple registration and login pop-up form that minimized page shifts.

Developed a new approach to solve this problem by creating a simple and intuitive timeline visualization that allowed users to easily log their fasting and eating periods, along with the food consumed during those periods. We also simplified the logging experience by reducing the number of steps required to enter the information. As a result, users found it much easier and more convenient to track their progress and stay on top of their intermittent fasting goals. So we increased retention and engagement.

Our users received profit for selling their goods and services via our payment gateway in crypto. Many of them wanted to convert this profit into fiat and withdraw it to their bank account. Previously we used a 3rd party service that had a $30.000 threshold for crypto-to-fiat transactions, which prevented our new clients from giving us a try since they couldn’t trust us enough with the amount this high, and SMBs couldn’t afford keeping this amount frozen for so long. I researched and led the integration of alternative service with their API and our UI, that allowed us to lower this threshold to as little as $20 and onboard large clients that previously used our competitor.

I've used my strong background in Product Marketing to help boost our company's reputation in the Edtech sector. Leading a talented team, we've come up with fresh growth ideas especially suited for new companies like ours. In the changing world of Edtech, I've always aimed to make sure Careerist keeps growing and outdoes its goals.