Product Management

Socials growth

• Telegram: 0 -> 4400 subscribers

• Discord: 0 -> 12000 server participants

• Twitter: 0 -> 8000 followers

• Telegram chat: 0 -> 500 chatters

Achievements

• Launched LACHAIN NFT rewards system

• Set up the whole content structure with announcements, weekly events, streams and raffles

• Developed design patterns and standards for SMM

• Launched crossmarketing announcements with: Polygon(Matic), Avax, Fantom and QuickSwap.

• Developed a DAO system with XP and gaming features in discord

• Set up targeted ads in Twitter, Facebook and LinkedIn to attract new audience and investors

– Hired and managed 4 teams of analysts (15+specialists) responsible for customer experience, monetization products, content and core data analysis; grew by experiments conversion to order by 15%

– Developed and implemented data architecture for events transactions and storage for all the company products

– Promoted the culture of experiments in the company: changed the processes of product discovery and delivery, hired A/B-platform Owner, who managed an internal product for A/B-test automation

– Designed product key metrics, created datamarts and dashboards for their monitoring

Built a peer-to-peer Chat, which I took from concept to launch and further development leading two remote cross-functional teams (iOS, Android, Web, Backend). The Chat SDK with customizable UI components aims to provide an excellent chat experience for users and is integrated into Delivery Hero apps across 40+ countries. As a global product, it is daily used by millions of customers and drives $XXXk monthly costs savings for the company.

My main responsibilities were:

• Launched the internal Developer Portal as a one-stop-shop for application engineering using the infotainment platform SDK

• Incorporated the SDK user feedback into the Portal roadmap

• Aggregated, refined and maintained technical documentation, as well as stakeholder focused high-level content

• Organized onboarding sessions and coaching for new and existing SDK users

Led a team to develop an AI monitoring system that was capable of detecting anomalies in various business indicators. By closely working with one of Russia's largest banks over a span of 3 years, we designed and implemented an advanced backend system dedicated to the detection of anomalies across a wide spectrum of critical business metrics. This system significantly decreased the time and effort previously invested in manual incident detection and enhanced operational efficiency.

• Developed and implemented product strategy to improve four apps within priority on customer's problems & requirements, improve booking conversion rates & reduce cancellations

• Oversaw IT team workflow in YouTrack, and conducted sprint planning, retrospectives sessions and demos

• Prioritized backlog using adapted ICE model, considering development cost, commercial impact, and business segments

• Prioritized onboarding future tech partners via Direct API or Travelgate, Netstorming, Juniper, and Technoheaven, successfully onboarded 15+ API suppliers and 10+ API within past year

• Directed the business logic and task definition for launching MVPs of internal company products

• Developed a tree of product metrics and defined tasks for monitoring and evaluating metrics with Metabase

It was necessary to learn how to target the display of the widget on the site depending on the information about the user filling in the "Information about children" block

Since the information about filling in the "Information about children" block is stored on the site side, it was necessary to configure the transmission of this information via dataLayer.

The implementation of this mechanics would allow the project to personalize communication with the user depending on the information about the children and offer the most relevant suggestions.

Task implementation:

1. Set the task on the back-end side of the project team to implement parameter triggers in datalayer;

2. After the implementation of the parameter triggering, I set the task to the support team to conduct checking;

3. After the correct implementation of the parameter triggering, a widget was implemented with the announcement of filling in the "Information about Children" block.

Result:

1. Got information about children from more than a thousand users;

2. Increased the conversion to the rest of the information about children by 174%;

3. Built personalized communication with the user depending on the information about the children.

Socials growth

• Telegram: 0 -> 3200 subscribers

• Discord: 0 -> 7000 server participants

• Twitter: 0 -> 1400 followers

• Telegram chat: 0 -> 1900 chatters

Achievements

• Successful launch of 15 partnerships (crossmarketing and paid promotion from our side)

• Launched LATOKEN NFT native collection Angry Chicas and developed a landing for it

• Setting up the whole content structure with weekly events, streams, raffles, crossmarketing events.

• Created and launched LATOKEN volunteer program called LATOKEN Marshals

• Launched merchandise with LATOKEN Angry Chicas NFT Collection

• 0% of negativity in LATOKEN NFT community created by me

• Created the giveaway, raffles from zero via gleam.io

• Developed bots with gamification system, DAO elements and XP system to keep community always active, engaged and entertained

• Launched AR Instagram Mask for Angry Chica with special promo campaign

• Set up the whole analytics process via GA4 for LATOKEN NFT and LACHAIN

• Created a whole set of content topic regarding memes and global events to launchh viral activity and attract young community

• Comarketing with: Kishu Inu, CVSHOT, MNTG, BabyDoge, Adappter, Olympus, and other crypto projects and influencers

Developed high-load architectures in one of the largest country's marketplaces Avito. Can help with the stack choice and conduct the system's audit