Tom
Melnikov.

Owning analytics engineering and internal tooling across sales, affiliate ops, and leadership. First managerial-scope role running cross-functional projects with the in-house dev team.

• [Custom CRM]Shipped custom internal CRM replacing Bubble's admin UI — 8 personalized rep workstations, live activity streams, shared user glossary, and filterable search. Team calls it a "day and night" improvement.
• [$3K+ recovered / week]Built Slack nudge bot flagging 48h+ unconfirmed ambassador deposits. One rep recovered $3K+ in a single week from previously dropped follow-ups.
• [~14 hrs/week saved]Stood up Supabase as off-Bubble data layer (webhooks + scheduled sync). Integrated Dots, Venmo, Calendly data not previously captured. Deployed OpenClaw AI agent on a VPS to scrape 18 partner sites with no API access — replaced ~14 hrs/week of manual tracking.
• [11 dashboards live]Scoped 4 epics / 66 engineering tickets to rebuild Bubble admin panel for 300+ live campaigns into a single filterable workspace. Shipped 11 internal dashboards driving daily decisions across sales and exec.

GTM and revenue operations data work for a Series A analytics platform. Bridged enterprise accounts, product, and leadership.

• [Contract expansion]Ran requirements-gathering with enterprise accounts to identify analytics gaps. Translated needs into dashboard specs that prevented churn and contributed to contract expansion of an at-risk account.
• [90% auto-routed]Designed automated ticket routing classifying 200+ weekly support inquiries, distributing 90% of low-complexity issues to outsourced support.
• Audited API integrations across Salesforce, HubSpot, and ad platforms to resolve sync issues and restore accurate GTM reporting for leadership.

Co-founded and led product/systems analysis for a job search startup. Sunset November 2025.

• Led user research with 110+ job seekers; translated pain points into MVP scope and a prioritized development roadmap.
• [118K postings · 70% relevance]Analyzed 118K+ job postings to define quality filters; shipped semantic matching via vector database, tuned to a 70% relevance threshold.
• [83% latency cut]Diagnosed backend bottleneck through query analysis; partnered with engineering to cut core operation latency from 23s → 4s.

Sole business-focused hire across 400+ customers. Bridged product, customer ops, and exec strategy end-to-end.

• [83% setup reduction]Analyzed usage patterns in BigQuery/Postgres and split the platform for business vs engineering users — cut SDR setup from 2 hours to 20 minutes.
• [8+ hrs/week → 0]Designed automated feedback classification processing 400+ support tickets — cut manual review from 8+ hrs/week to zero and surfaced roadmap themes.
• Built Power BI dashboards consolidating product usage, customer health, and support metrics; reduced manual reporting effort by 40%.

Growth and investor-facing analytics for a Series A AI startup. Anchored the round with a flagship enterprise deal.

• [$112K · DHL]Led enterprise POC with DHL resulting in $112K contract. Ran needs assessment, built the business case, partnered with engineering on a tailored solution — deal anchored the Series A raise.
• [50% of pitch deck]Built financial projections and market analysis comprising ~50% of the Series A pitch deck; ran Monte Carlo simulations modeling unit economics and runway scenarios.
• Researched Singapore PDPA for market entry and recommended a partnership-first GTM strategy informing regional expansion.

First analytics role. Logistics redesign, SQL pipelines, and customer growth for a retail/supply chain SME.

• [~$120K/yr saved]Analyzed logistics across 4 distribution nodes and built the cost-benefit case for direct China–Vladivostok–Chelyabinsk rail — saving ~$120K annually.
• [80% reporting cut]Built SQL pipeline consolidating 10+ operational sources; cut manual reporting from 10 hrs/week to 2 hrs/week.
• Designed customer segmentation and social media campaign that grew private retail customer base by 30% (~80 customers) in 12 months.