Freelance Data Analyst for Performance-Driven Teams

I’m a Data Analyst and Paid Search Specialist with more than six years of experience helping businesses turn data into growth. My background combines data science tools (Python, SQL, BigQuery, Looker Studio, Power BI) with hands-on expertise in digital marketing and paid search (Google Ads, Bing Ads, Yandex.Direct).

I’ve managed advertising budgets of up to $50k across industries like SaaS, real estate, e-commerce, healthcare, and finance. My approach is data-driven: I build automated dashboards, track conversions, and use statistical analysis to identify opportunities that increase ROI.

Roman Myskin — Freelance Data Analyst

Tools I work with


BigQuery Python Tableau Looker Studio Power BI GA4

Why Businesses Struggle Without a Data Analyst

Modern businesses generate enormous amounts of data every day — from sales and marketing campaigns to customer interactions and financial reports. But most of this information remains unused or misunderstood.

Without a data analyst:
  • Decisions rely on guesswork instead of facts.
  • Opportunities are missed, because hidden trends and patterns stay undiscovered.
  • Marketing budgets leak, with money wasted on channels that don’t bring results.
  • Teams lack clarity, making it harder to align strategy with real performance.

A skilled data analyst turns raw numbers into clear insights and actionable strategies. Instead of drowning in spreadsheets, businesses gain clarity, focus, and confidence in every decision.

Services

Dashboards & BI Icon
Dashboards & BI

Your data will be collected, transformed, and pushed into custom reports using powerful visualization tools like Looker Studio or Power BI.

Process Automation Icon
Process Automation

I'll handle your bid and budget adjustments, automatic alerts, and placement and keyword exclusions.

Data Insights Icon
Data Insights

I use Machine Learning to analyze thousands of keywords and placements and identify statistically significant differences across available dimensions.

🏆 Certified Data Science Specialist

IBM Data Science Certificate

Click image to view PDF certificate

I have successfully completed the IBM Data Science Professional Certificate on Coursera, a comprehensive program designed to equip individuals with essential data science skills.

  • Program Duration: Approximately 4 months at 10 hours per week
  • Course Structure: 12 courses covering a range of data science topics
  • Skills Acquired:
    • Data Wrangling
    • Unsupervised and Supervised Learning
    • Predictive Modeling
    • Data Visualization with Plotly and Matplotlib
    • Proficiency in Python, SQL, and Jupyter Notebooks
    • Experience with real-world projects and datasets

This certification provides a solid foundation in data science methodologies, enabling me to analyze and interpret complex datasets effectively.

Experience

Ardos Senior Marketing Data Scientist

Aug 2023 – Aug 2025

  • Conducted internal audits and deployed ML models to identify churn drivers and growth opportunities, analyzing a 5 GB CSV of potential prospects.
  • Built an ML model categorizing Shopify websites into 397 categories.
  • Analyzed weather-driven demand (precipitation vs. conversion rates) and automated bid adjustments, increasing lead volume by 20% on rainy days and reducing spend by 13% on dry days.
  • Created educational guides with concise statistical explanations for marketers; published 107 LinkedIn posts, 17 articles, and 3 YouTube videos on data analysis and automation.
  • Developed a complete automation framework as the sole developer: 56 scripts and 13 research projects applied across 97 accounts.
  • Streamlined reporting across ad platforms by integrating BigQuery with Looker Studio, automating performance tracking for 55 accounts and consolidating 157 goals into 16 conversion types.
  • Reduced auditing time from ~2 hours to 30 minutes via a scalable Google Sheets and Apps Script solution for account validation.
  • Improved remarketing precision through automated audience generation using Google Ads API, applying 30 segments across a 1,000-product website.

Impecco Marketing Data Analyst

May 2023 – Jul 2023

  • Developed an N-Gram analytical script to process millions of Google Ads search terms, identifying irrelevant queries and reducing costs by 12%.
  • Automated reporting with Power Query and Power BI dashboards, eliminating manual errors and providing accurate metrics to stakeholders.
  • Analyzed incoming traffic of 500k+ users and designed a remarketing strategy, generating a 7% revenue uplift.
  • Implemented interactive Power BI dashboards for internal and client performance tracking.
  • Integrated offline conversion tracking using GTM and analytics tools, reallocating inefficient spend to high-performing campaigns.

MediaProNet Digital Marketing Specialist --- Marketing Analyst

Aug 2019 – April 2023

  • Automated data collection from GA4 and Adobe Analytics with Power Query, reducing reporting time from 8 hours to 5 minutes.
  • Applied Google automated rules that reduced branded traffic costs by 40% without losing impression share.
  • Mentored four junior team members.
  • Conducted account audits, presenting findings to stakeholders.
  • Improved internal Excel templates with VBA scripts to increase campaigns setup. Build Google Sheets performance dashboards with automatic data collection from digital channels.

Cases

Performance Dashboard

Extracted data across multiple MCC Google Ads and Microsoft Ads accounts and pushed it to BigQuery forming Looker Studio report with performance tracking metrics

Shopping Feed title and attributes Optimization

Formed a process to write SEO-optimized titles based on available content (from product pages or feeds) and extracted additional attributes.

Automated Reporting for a Car Vendor

Reduced reporting time from 8 hours to 3 hours using Power Query, and further down to 5 minutes with Python automation, for a $50K/month ad account.

N-Gram Analysis & Semantic Search Tools

Built a tool in Python (Pandas) for analyzing Google Search Term reports and extracting high-performing lemmas. Added web scraping with Google Planner to collect keyword ideas from competitor websites in under 10 minutes.

Competitor Ad Collection

Used BeautifulSoup to scrape and analyze Google Ads from competitors for ad copy insights.

YouTube Exclusion Tool

Developed a Python + Google Scripts pipeline to identify and exclude irrelevant YouTube placements based on keywords (e.g., “kids,” “music,” foreign language content).

This Website is Part of My Portfolio

This website also serves as a portfolio of my knowledge in PPC, digital marketing, and data analysis. Here, I share practical insights, case studies, and techniques I use to analyze campaigns and drive results. Whether you are interested in advanced analytics or marketing strategies, you’ll find useful articles that showcase my work.

About Me

Persistent

I'm ready to spend hours and days if I see that the problem is ambitious and its impact can make a real difference.

Curious

I studied physics, then philology, then marketing, and now I'm into data analytics. I see no limits to education and will stop learning only when my brain can’t handle it anymore.

Value-oriented

I work on tasks that solve real problems, and idle work frustrates me.

Analytical Mind

Numbers aren’t magic to me, but they can tell more stories than all the words in the world.

About Me