Dimi Gatsos

Built a browser-based tool that compares company datasets from two providers, surfacing overlap, uniqueness, and the exact records they disagree about, with no data leaving the browser.

Combined two public U.S. government data sources into a single federal-contracting intelligence layer on the Salesforce Account object, resolving 10.3M+ raw award records down to 54,974 real business entities.

Built a pipeline that scrapes any LinkedIn profile via Apify, sends the data to the Claude API alongside my own profile context, and delivers a structured career comparison and market positioning assessment in under 60 seconds.

Built a Clay-powered workflow to automate competitive research at scale, feeding structured intel directly into Salesforce for SDR use.

Validated the office-level location of 11,000 EMEA contacts using a Clay enrichment waterfall, enabling accurate event invitations for London and Amsterdam.

Built Clay templates for common Salesforce operations, cutting a 48-hour ticket queue down to 2 hours and letting the team act directly — no admin access needed.

Own and orchestrate data hygiene and enrichment across Accounts, Leads, and Contacts. Real-time on creation, refreshed on a schedule, with automatic escalation when the system can't resolve something on its own.

Automated a daily meme delivery system using Clay and Zapier — AI selects and formats a meme, Zapier sends it via Zoho Mail on schedule.

Built a Zapier workflow that reads from Google Sheets and triggers personalised Zoho Mail sends, replacing a manual outreach process.

Built a Zapier automation to pull expense data from Google Sheets, process it, and generate monthly report files in Google Drive — no manual steps.

Designed and automated a HubSpot workflow to route deals to legal review at the right stage, reducing missed steps and manual hand-offs.

Built a HubSpot workflow using ZoomInfo location data to auto-assign inbound leads to the correct regional rep without manual triage.

Audited the existing lead scoring model, identified gaps in company-level signals, and rebuilt the scoring logic with cleaner data inputs via Google Sheets.

Scraped, cleaned, and analysed thousands of used car listings from Greek marketplaces using Python and Jupyter to surface pricing trends and market patterns.

Scraped rental listings across Ireland, cleaned the dataset, and built a Tableau dashboard to visualise regional pricing and availability trends.

Catalogued and valued a Star Wars memorabilia collection using Excel, tracking current market prices and total portfolio value over time.

Modelled user growth trajectories in Excel to project acquisition trends and identify inflection points for a product team's planning cycle.

Built an Excel dashboard to track and analyse P&L across multiple betting accounts, segmenting performance by sport, market, and time period.