Freelance Data Analysts in Kyiv
Freelance Data Analysts in Kyiv
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Maksym Semeniuk
AI Personalized Storybook Platform
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47
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Daniel
pro
A clean-looking spreadsheet can still hide a broken record trail. For this synthetic cleanup concept, I used four small rows so every correction could be traced: — 2026-07-03 and Jul 03 2026 resolve to one duplicate — Excel serial 46208 resolves to 2026-07-05 — the formula error is repaired without changing the valid rows — source count, removed duplicate, and normalized output reconcile in the QA ledger The signature element is the checksum seam. It keeps the raw rows visibly connected to the normalized table, because cleanup should preserve provenance rather than replace messy data with an unexplained polished sheet. This is self-initiated concept work built with plausible synthetic data, not a client result. It demonstrates a small, reviewable before/after workflow for spreadsheet cleanup and data-quality checks. Case study: https://contra.com/p/E7q7lFF3-concept-traceable-spreadsheet-cleanup
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120
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Veronika Martyniuk
Early-Stage Startup & Founder Research
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3
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Serhii Seroed
Power BI report for macroeconomic analysis of business segments
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47
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Serhii Ovcharenko
Optix
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14
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Maksym Lazarevych
GA4 Attribution Framework — Demand Creation vs Demand Capture Analysis Developed a GA4-based attribution framework to separate demand creation from demand capture across channels. Mapped each channel’s business role (Organic, Paid Search, Performance Max, Direct, Referral) and translated attribution insights into concrete optimization actions — including where to scale, where to constrain spend, and which channels should be treated as structural. This framework helps service businesses avoid over-investing in demand-capture channels while underfunding true growth drivers.
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Veronika Martyniuk
Researched and qualified U.S. federal employee organizations and local chapters, identifying key contacts, leadership, events, webinar and outreach opportunities. Verified public sources and organized all findings into a structured Excel database with concise fit notes.
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45
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Maksym Lazarevych
Google Ads Lead Performance — 28-Day Snapshot (HVAC Services) Captured a 28-day Google Ads performance snapshot for an HVAC service business to evaluate lead generation efficiency and campaign structure. Key scope: • Reviewed campaign-level spend, conversions, and phone calls • Identified high- and low-performing campaigns based on cost per conversion • Highlighted optimization priorities for reducing wasted spend • Established baseline metrics for ongoing performance improvements Outcomes: • Clear visibility into lead efficiency across campaigns • Prioritized high-intent services for scaling • Actionable insights to improve cost per lead and call volume Tools: Google Ads, GA4, Looker Studio, Excel
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Veronika Martyniuk
Researched and qualified founders of early-stage startups using verified sources. I analyzed founder roles, buyer authority, startup background, persona and segment fit, and organized the results into a structured Excel database with supporting evidence.
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45
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Veronika Martyniuk
Researched and qualified international e-commerce brands based on specific market and localization criteria. I identified relevant decision-makers, verified business emails, checked multilingual and market presence, and organized qualified prospects into a clean, structured Excel database.
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