Scooch is a subscription with AI-powered app for personalised dog healthcare. We provide healthcare services and products to make dog parenting easy and help every dog live a happier and longer life.- AI Startup Of The Year (UK Startup Awards 2024)- Best UK Startup (Nurture by JCDecaux 2024)- Best PetTech Startup (TechRound 2023)I joined the founding team to build the product from scratch, leading and executing business, product, design and analytics functions. - Personalised treatment plan with dog supplements- AI assistant, AI health insights - Health diagnostics, scoring and tracking- 24/7 video vet support - E-commerce shop with our pet care products - Insurance (coming soon)- and more

Fresha is a leading marketplace and B2B SaaS platform for the beauty and wellness industry. We have 60,000 active businesses and 150,000 masters in 120+ countries, with 400 million appointments booked to date. For the last year, we had a 30x increase in card payment transactions with tens of millions of appointments booked monthly and processed $15 billion in transactions to date. In 2021 we raised $152M in Series C led by General Atlantic valuing the company at over $640M, making $182 million of investments to date.I headed a tribe with 3 teams and was responsible for vision, strategy, and execution for Core experiences (95% of users' time and actions happen in this part of the product):— Point of Sale: fully-fledged POS product with a complete checkout and reporting experience. Our main competitor in the POS department is Square as most of our customers are coming from this platform. — Scheduling: booking flow on the marketplace side (B2C), scheduling flow on the business side (B2B), conversion to booking, Calendar product, appointments, Work Roster, resource management, etc.— Experiences: core entities and flows of the product like services, memberships, vouchers; implementing new services and experiences to launch new markets like fitness, mental health, etc. Hired PM and UX roles, led a group of Product Managers (direct reports). Set up processes and tooling for the product department and development processes in my tribe. Reported to VP of Product and Founders.

Wheely is a multinational on-demand ride-hailing service that offers a luxury vehicle and premium personal chauffeur service (Uber for rich people). In early 2020 Wheely had a total turnover of $110 million, as well as a total passenger base of 80,000 customers. Wheely had raised $28 million from investors to date.— Headed a B2B product department (Wheely for Business). Built the product from scratch based on the end-to-end research which I conducted myself.— Hired a product team and established development processes;— Conducted business modeling, forecasting, and strategic planning for the B2B department.

Revolut is a global financial super app, the most valuable UK tech startup in history ($33 billion) and was the fastest growing technology company in Europe, the Middle East, and Africa, according to the Deloitte Fast 500 (having 18+ million users and $361 million revenue in 2020).For the 2019 year, Revolut Business has grown 4 times (and became the biggest player on the market) — our main focus was increasing the number of new businesses per day (successfully onboarded and activated).• Ownership of the Growth scope and scrum team:— Hired the team and established processes (from scratch);— Built analytics and tracking infrastructure for the website as well as automated reporting for its main metrics (including general growth metrics);— Built A/B test framework with automated reporting on its main metrics, statistical significance check, detailed distributions, main CTAs and all funnels;— Built new website from scratch and increased conversion by 5% in A/B test vs. old one, defined its structure, established main value proposition, messaging and positioning, designed and produced most of the content for it.— Worked closely with Marketing and Business Development teams on infrastructure and integrations; • Ownership of the Onboarding scope and scrum team:— Researched and defined ICP (Ideal Customer Profile) — profile of the customer that is most valuable from the business perspective, so that as a department we started to focus on it, and therefore, became aligned;— Built ML scoring model which is prioritising customers queue based on their business value (based on ICP) so that onboarding managers started to focus only on important customers and we started to grow faster (+15% new businesses per day);— Researched and fixed back-office and UX problems of the registration/onboarding/KYB flows in order to decrease drop-off and increase the success rate of the onboarding process (success rate increased by 16%);

Wrike is a SaaS collaborative work management platform with clients like Google, Sony, Airbnb, Okta, Siemens, Snowflake, Lyft, Walmart, TeamViewer, Estee Lauder and many others. Having 20,000+ active businesses, 2.5 million users in 140+ countries, $140 million ARR, and growing at 30% annually, Wrike was included in Deloitte's Technology Fast 500 list for the 6 years in a row (2015-2020). Wrike was acquired by Citrix for $2.25 billion.• Led and managed Growth & Onboarding scope and scrum team:— Set vision, strategy and tactics — formed OKRs, roadmap and hypotheses. Aligned team’s strategy with global company strategy, different business units and stakeholders;— Worked closely with marketing, sales, and professional services departments, their processes and KPIs: joint projects, goals;— Designed product solutions and managed content production (product videos, articles, etc.);— Managed scrum team of 10 people and analytics related to our scope.• As a result, I have released and supported strategic initiatives which significantly increased target KPIs, particularly I’ve:— Developed a radically new vision and approach of onboarding and product growth which proved to be efficient by affecting our retention and conversion rates;— Delivered multiple successful releases and established a scalable onboarding platform, and as result have increased retention by ~20% and proved it in statistical significant A/B test;— Supported and led some of our main strategic launches (Wrike for Marketers, Wrike Resource);— Delivered the registration part of GDPR Compliance;— Defined positioning, messaging and value proposition (cooperating with the marketing team), and produced product video for Wrike for Marketers; — During the internal hackathon led a team as a PM and introduced a new product — Wrike Calendars (it has become one of the core features of the product).

• Lead Analyst (analytics management): — Led and managed all analytics activity and projects related to Growth & Onboarding scope;— Data engineering management: 1 data engineer, process building and maintenance, task setting, planning, backlog managing, review, etc.— Project management: led multiple complex cross-department projects and programs (product, analytics, marketing, sales, and professional services departments) targeted to improve infrastructure, automation, integrations, segmentation, and product quality.• Product Analyst (product analytics): — Under the direction of Group PM I assisted in developing vision, strategy and the roadmap, including proposing product features and hypotheses based on data and research;— Conducted 10+ A/B tests with full analytics support: reports, statistical significance validation, insights and product proposals; — Researched new metrics and correlations that enabled us to measure the effectiveness of product changes and revealed new insights and possible product improvements;— Guided product roadmap and backlog prioritisation based on data analysis and research; — Presented results of past iterations on sprint reviews to the team and stakeholders with conclusions, insights, suggestions, and answers on main business questions, such as how and what we should do in following iterations, as well as strategically; • Product Analyst (data engineering and analytics):— Ad-hoc analysis;— Creation of data sources including data cleansing, transformation and automation (ETL creation);— Building of automated reporting;— Creation of tracking and infrastructure specifications; • Used technologies: PostgreSQL, Python, Spark, Tableau.

VK is one of the biggest social internet companies in Russia and Europe, it accounts for >90% of the Russian internet audience having revenue of $1.4 billion. I was working at Social Network «Odnoklassniki» (Russian Facebook), it's in the top-50 most visited websites worldwide and top-10 in Russia (71 mln MAU).• I've researched factors affecting the user conversion during their first session on the social network using big data and machine learning methods (random forest, logistic regression and advanced statistical analysis);• Based on this research I’ve made product proposals targeted to increase user conversion. As a result, some of these features are still in use. There has been a noticeable increase of core indicators during A/B tests (conversion and retention, details under NDA);• I worked closely with UX researchers, helped identify cause-and-effect relationships, correlations and complex interconnections in user behaviour, and provided insights to the UX and Product teams; • Used technologies: Java, R, SQL, Spark, Scala, Hadoop.

Dell EMC provides data storage, information security, virtualization, analytics, cloud computing and other products and services that enable organizations to store, manage, protect, and analyze data. Dell and EMC merger happened in 2015, deal was valued at $74 billion and was the largest-ever acquisition in the technology sector. The company is listed on the S&P 500 index and is one of the biggest IT companies in the world having $41 billion revenue.I researched and implemented a conceptually new approach to data deduplication (a method for eliminating duplicate copies of repeating data, it's an alternative to data compression algorithms):• Researched and proposed a new class of deduplication algorithms based on advanced math, data mining and computer science methods (under the direction of a Principal Solution Architect);• Implemented the model of this algorithm and the server data structure on Java as MVP; Compression coefficient was ~20% higher than regular deduplication algorithm which was a big success; • Used technologies: Java.