Vishal Jaiswal
I’m a Senior Data, Analytics & Product Leader with 15+ years of experience defining enterprise data strategies, building AI/ML products, and scaling cross-functional teams across e-commerce, fintech, and global enterprise environments. I’ve unlocked $50M+ in measurable commercial value by bridging the gap between technical execution and C-suite strategy.
Most recently at Wayfair in Berlin, I led the product lifecycle for AI-driven pricing and inventory platforms, rebuilt broken user flows with behavioural data, and built real-time anomaly detection systems that prevented $6M+ in operational losses. Before that, I founded Kryptofolio — an autonomous algorithmic trading platform powered by Agentic AI workflows — and ran global finance analytics at AkzoNobel.
My approach is always the same: own the full data lifecycle — from engineering infrastructure to predictive modelling to executive storytelling — and measure everything that matters. I combine hands-on Python and SQL work with the kind of strategic framing that gets boardrooms to act.
Outside of work, I research Indian equity markets, write about AI’s impact on financial analysis, and think about how complex systems fail in non-obvious ways. Based in Berlin. Open to conversations about AI, data, markets, or collaboration.
Experience
- Led end-to-end product lifecycle for 'PAE360' — an ML platform automating B2B pricing and inventory decisions — unlocking $20M+ in enterprise value
- Analysed the Order-to-Delivery user journey and translated competitive logistics data into a strategic narrative that drove a $2.76M revenue uplift
- Rebuilt the core login funnel using behavioural data and A/B testing, improving success rate from 58.6% to 91.1%
- Built a real-time anomaly detection system for high-volume B2B EDI transactions, reducing error rates from 0.08% to 0.01% and preventing $6M+ in operational losses
- Architected a unified analytical Gold Layer and self-service Looker ecosystem, cutting ad-hoc reporting requests by 40%
- Managed a multi-disciplinary team of 10+ data scientists, analysts, and engineers across 6-month roadmaps and OKR cycles
- Built a scalable autonomous algorithmic trading platform from zero — designed Agentic AI workflows capable of evaluating market sentiment, planning execution strategies, and managing risk independently
- Achieved 223% fund returns through Python-based predictive models, rigorous back-testing, and data-driven risk parameters
- Built real-time ETL pipelines on AWS ingesting high-frequency financial market data streams
- Led digital transformation from legacy spreadsheet-based finance operations to a modern predictive analytics ecosystem across multi-national regions
- Developed time-series forecasting algorithms improving global demand accuracy by 20%
- Integrated SAP ERP data into a unified Single Source of Truth reporting framework for Group Leadership and the C-suite
- Directed ML models for automated entity extraction and classification, enhancing data quality for Fortune 500 clients
- Built attribution models and cohort analytics to optimise acquisition funnels and retention strategies
- Established data governance frameworks and Master Data Management processes for enterprise CRM/ERP integrations
- Conducted quantitative market research, competitive intelligence, and technology landscape assessments for Fortune 500 clients
- Specialised in translating complex analytical findings into executive presentations and board papers
- Applied statistical modelling to analyse borrower delinquency trends and optimise credit policies
Education
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