Katerina (Kat) Pasecnika — Business Analyst
If your team has data but not enough senior firepower to act on it - that's exactly where I come in. Most growing travel and e-commerce businesses aren't short on data. They're short on someone senior enough to know what to look for, ask the right questions, and translate findings into decisions the whole business can act on. That gap is expensive - in missed revenue, poor retention, and operational blind spots. I've spent 10+ years closing that gap, across travel-tech, e-commerce, telecom, and FMCG. Most recently, I led a data analytics team at Agoda - one of the world's largest travel platforms - where I owned analytics strategy for Partner Engagement. My work there ranged from building predictive models that helped operations teams act on problems before they escalated, to designing dashboards that gave senior leaders real-time visibility into workforce and SLA performance. I led cross-functional stakeholder work at the most senior level, translating complex analysis into clear decisions. Before that, I was a Senior Data Scientist delivering bespoke end-to-end data science solutions to e-commerce clients. I built churn and LTV models that directly shaped retention strategy and marketing investment for e-commerce brands. Earlier in my career I built ML-driven models at that generated an expected $2.3M in COGS savings and $7M GSV uplift, and designed churn-prevention frameworks using graph database analysis to map customer journeys and identify key trigger points. What connects all of it: I don't just analyse data. I work closely with the business to understand what decisions need to be made, and then I make sure the data actually informs them. Here's what I offer as an independent consultant: · Analytics Audit - a focused deep-dive into your data stack, KPIs, and reporting gaps, delivered as a strategic findings report with clear priorities. Ideal as a starting point. · Fractional Head of Data - ongoing analytics leadership embedded in your team. I own your data roadmap, manage reporting, and deliver measurable impact without the cost of a full-time hire. · ML & Predictive Modelling - churn prediction, LTV scoring, demand forecasting, and root cause analysis. Project-based, with clear scope and deliverables. I work with scale-ups and mid-size businesses in travel and e-commerce that are ready to take their data seriously - and want a trusted senior partner to help them do it. If that sounds like what you need, I'd love to have a conversation.
Stackforce AI infers this person is a Data Analytics Expert in the Travel and E-commerce sectors.
Experience: 13 yrs 6 mos
Skills
- Data Analysis
- Big Data Analytics
Career Highlights
- 10+ years of experience in data analytics.
- Led analytics strategy at Agoda for Partner Engagement.
- Expert in predictive modeling and churn prevention.
Work Experience
Agoda
Lead Data Analyst (2 yrs 4 mos)
Senior Data Analyst (1 yr 3 mos)
Conjura
Senior Data Scientist (8 mos)
Mars
Data Scientist (1 yr 9 mos)
Virgin Media
Data Scientist (1 yr 1 mo)
British Gas
Customer Value Management Analyst (7 mos)
Thatcham Research
Analyst Statistician (1 yr 6 mos)
Lainston Securities Ltd
Project appraisal placement (3 mos)
Ericsson
Performance Analyst (3 yrs 7 mos)
Frutotrade.com
Data Analyst (9 mos)
Education
MSc at University of Southampton
Data science for enterprise at Udacity
Bachelor of Science (BSc) at University of Southampton