Google Data Analytics Specialization

Career Essentials in Data Analysis by Microsoft and LinkedIn

Data Analyst Associate

Google Business Intelligence Specialization

Stood up the whole hospital's analytics infrastructure from zero.

- Deployed an Airflow-based analytics stack on Ubuntu from scratch — the institution's first scheduled ETL pipeline with Telegram-bot alerting — cutting report delivery time from a week to a day (pokb-airflow)
- Automated KPI data collection and analysis into a Google Sheets dashboard, improving the timeliness and accuracy of decision-making (pokb-metrics-collector)
- Built a daily analysis of inbound calls (virtual PBX) and IT-service tickets, letting management spot problem areas in real time

Data Analyst

Ran the hospital's IT and kept a diverse stack of medical, analytics, and ERP systems integrated and accurate.

- Administered the hospital's IT infrastructure (80 workstations, servers, office systems) and managed data across medical (EMIAS MO, Megaclinic, ERIS), analytics (GASU, BI), and ERP systems (1C, Smeta, URM)
- Deployed an interdepartmental electronic document-management system that replaced manual, paper-based workflows and raised staff productivity
- Built the information-security and compliance framework — security policies, data-protection evaluations, product-labeling compliance (Chestny ZNAK), and electronic-signature workflows
- Mentored a junior assistant and supervised ~2 college interns per year, onboarding them onto medical information systems and day-to-day IT operations

Lead Programmer

1. Installed, configured, and administered various CMS (MODX, WordPress, OpenCart, Shop-Script, etc.), ensuring optimal performance and stability.
2. Managed server software via the Linux terminal (primarily Debian), consistently maintaining high levels of performance and stability.
3. Handled front-end development, creating themes, integrating custom HTML/CSS/JS templates, and optimizing code to ensure a seamless user experience.

Web Developer

- Successfully transitioned to a new role as a data analyst with a strong engineering background, quickly adapted to new technologies and processes.

- https://github.com/DragonSigh/pokb-airflow
Organized ETL process with task orchestration using Apache Airflow with daily scheduled runs, Telegram reporting, which improved the timeliness of report delivery to departments.

- https://github.com/DragonSigh/pokb-metrics-collector
Designed and implemented Python programs to automate data collection and analysis of the hospital's key performance indicators (KPIs) with uploading to a simple Google Spreadsheets dashboard, which improved the hospital's ranking at the regional level.

- Organized the analysis of incoming phone calls and tasks in the information technology department, allowing the supervisor to receive timely summary information.

- Handled and organized data inside medical information system (EMIAS MO), analytical information systems (BI), keeping accurate and efficient data man

Lead Engineer

I work as a data analyst on a wearables ecosystem — smart bands, scales, and a vagus-nerve stimulator. My work covers both revenue and CX: marketplace sales and marketing analytics on one side, and user-behavior analytics on the devices on the other.

- Architected the data warehouse in BigQuery on a medallion model and built an ETL pipeline on Apache Beam and Google Dataflow integrating 5 marketplace and ad APIs (Ozon, Wildberries, Yandex Market, Yandex.Metrica, Yandex.Direct) — formalizing business metrics (GMV, ROAS, CAC, LTV) and feeding a daily-refresh marketing dashboard in Looker Studio
- Automated collection and analysis of device telemetry across the wearables line and built the CX metrics layer in SQL and Looker Studio (churn, retention, lifetime, reconnect rate, NPS, DAU/WAU/MAU), unifying behavioral data from GA4, Firebase, and Yandex.Metrica into a single view of user health
- Developed a clustering model in Python that identified 4 core usage patterns and new audience seg

Traecta helps career changers reach job-ready without dropping out. The thesis: the failure point in adult education isn't content — it's the missing structure and accountability that make people quit. Most platforms push everyone through the same curriculum regardless of background; Traecta maps a learner's existing skills against the target role, finds the gaps between them, builds a focused roadmap, and places them into managed peer circles so they finish.

As a solo founder I own product, engineering, and go-to-market end to end. The product runs as two connected systems:

- Shaped the platform around a proof-of-portfolio model — learners build verifiable outcomes, not a stack of certificates
- Built a cross-platform client (Web, iOS, Android) in Flutter on Supabase, architected with domain-driven design so the learning domain stays explicit and maintainable as the product grows
- Built the marketing and content layer as a separate Next.js platform — a multi-domain web product serv

Founder

Data Analyst @ HealthTech, CX research & data architecture | Founder @ Traecta, platform for career changers

Know about Vlad Kovnerov's work experience, education, bootcamps, certifications, and much more. Vlad Kovnerov