Building applied-AI products in travel retail

Applied AI & Analytics for Real-Time Intelligence and Smarter Decisions Applied AI & Analytics for

Hi, I'm Shaon Biswas — AI & Analytics Engineer. I build applied-AI and analytics products that turn data into real-time, high-stakes decisions.

I moved from business analytics into applied AI — today I build applied-AI and analytics products at ShelfTrak, an AI shelf-intelligence company serving global brands across 70+ airports. MSc (Distinction) in AI & Data Science.

Open to: Research collaboration · Speaking · Open-source

Python SQL Power BI Machine Learning

Consulting & Experience

Providing strategic direction and data-driven solutions to enterprises globally.

6+ years of experience across the UK, Canada, Sweden, and Bangladesh.

Feb 2025 — Present United Kingdom

Business Intelligence Analyst

Building applied-AI and analytics products for leading global FMCG brands across travel retail — serving 70+ airports and 90+ stores. Engineer end-to-end Power Query (M) pipelines and DAX analytics, and built two AI-assisted production tools (Promo Depth & Historic Exchange Rate calculators, developed with Cursor) that feed ShelfTrak's SQL Server reporting pipeline and replace error-prone manual work.

ShelfTrak Limited · part of the team named New Business of the Year (York Press Business Awards 2025)

Mar 2024 — Jan 2025 Canada · Remote

Data Scientist

Delivered data science and ML solutions across multiple industries — reducing client reporting cycles by approximately 25% and improving operational decision-making through deployed BI dashboards and predictive models.

Digilyzent Inc.

Dec 2019 — Oct 2023 Sweden · Remote

Business Data Analyst

Drove up to 20% quarter-over-quarter growth through data-driven sales analysis, reduced supply chain delays by ~30%, and supported a business pivot that contributed to ~200% revenue increase.

Scandinavian Designs Group West AB

Dec 2021 — Apr 2023 Bangladesh

Technical Lead — Access to Market

Led a team of 10 to deliver digital transformation strategies across 98 SMEs — achieving up to 85% increase in customer reach and 20% revenue growth through e-commerce onboarding, social commerce setup, and digital marketing implementation.

Rezia Management Consulting · Swisscontact project funded by the Embassy of Switzerland

Where I Deliver

AI-powered solutions tailored to the industries I know best.

Finance & FinTech

Stock-picking tools, sentiment-driven market analysis, and custom financial apps — AI systems that sharpen investment decisions and automate reporting.

Retail Tech

Demand forecasting, customer segmentation, and intelligent analytics — AI solutions that optimise inventory, pricing, and personalisation at scale.

Business Consultancy

Marketing, finance, and operations — AI-driven consulting that improves productivity, streamlines workflows, and elevates strategic decision-making.

What I Build

End-to-end AI and analytics systems — from data pipeline to deployed decision tool.

AI-Powered Decision Tools

Custom intelligent applications — stock analysis engines, financial dashboards, and decision-support systems that turn raw data into actionable strategy.

  • Stock-picking & market intelligence apps
  • Automated dashboards & reporting
  • Decision-support system design

Operational Intelligence

ML-powered systems that streamline operations — demand forecasting, process automation, and real-time BI that eliminates bottlenecks and cuts costs.

  • Forecasting & segmentation models
  • Process automation & workflow design
  • Real-time BI dashboards

Research & Applied AI

Applied-AI research and experimentation — from uncertainty-aware models to forecasting and analytics strategy, bridging academic rigour and real-world deployment.

  • Applied-AI research & co-authorship
  • Uncertainty quantification & forecasting
  • Analytics strategy & KPI frameworks

Academic Background

Shaon Biswas

My academic foundation underpins my technical expertise. I hold an MSc in Artificial Intelligence & Data Science (Distinction) from the University of Hull, where I focused on utilizing AI in cardiovascular research.

Additionally, I hold an MSc in International Business Management (Merit) from Sheffield Hallam University and a BBA (Magna Cum Laude), giving me a unique edge in translating complex data into strategic business value.

6+

Years Experience

4

Countries Worked In

2

Published Papers

Research Work

Research Interests & Academic Work at the intersection of AI, predictive analytics, and data science.

My research focuses on AI-driven decision support and uncertainty-aware machine learning — with applied work spanning quantitative finance, energy forecasting, and healthcare AI.

Peer-Reviewed Journal Article · Accepted (In Press)

Uncertainty-Aware AI: Conformal Prediction vs Reinforcement Learning for Optimal Trade Execution

With Asadullah Irshad (University of Hull, DAIM) — reframes VWAP trade execution as uncertainty-aware control. A normalised split-conformal predictor is used as an explicit decision gate, reaching 90%+ empirical coverage and cutting execution-cost variability from 19.1 to 10.0 bps, while a multi-seed PPO reinforcement-learning agent proves high-variance and unreliable. Validated on 30 US large-cap equities at 5-minute resolution — the first use of conformal intervals as a decision gate in trade execution.

Quantitative Finance Conformal Prediction Reinforcement Learning Market Microstructure

Statistics, Optimization & Information Computing (IAPress) · DOI forthcoming

Peer-Reviewed Journal Article

Benchmarking Forecasting Models for Global Renewable Energy Consumption

With Paramita Roy — benchmarks statistical, ML, deep learning, and hybrid models (including a novel ETS–GRU hybrid) on World Bank renewable energy data under expanding walk-forward cross-validation, Diebold–Mariano tests, and Model Confidence Set analysis, with structural break considerations for policy-relevant forecasting.

Time Series Energy Policy Deep Learning Walk-Forward CV
MSc Dissertation

AI & Platelet Proteomics in Cardiovascular Risk of Diabetic Patients

Investigated the molecular mechanisms of cardiovascular complications in diabetic patients by applying AI and bioinformatics to platelet proteomics data — utilising PCA, clustering, GSEA, and pathway enrichment analysis to identify potential cardiovascular risk biomarkers.

Machine Learning Healthcare AI Bioinformatics Proteomics

Featured Projects

Breaking News Market Sentiment

A production-grade NLP dashboard aggregating real-time financial news from Bloomberg, CNBC, and Reuters — using VADER sentiment analysis, Fear & Greed Index, VIX, and S&P 500 correlations. Processes 500+ daily news sources with ML data pipelines, containerised with Docker and deployed on Render.

FinTech / Trading NLP Machine Learning

Recognition & Media

Recognised in leading global travel-retail trade publications for advancing data-driven analytics in international airport retail — and part of the ShelfTrak team named New Business of the Year at the York Press Business Awards 2025.

Insights & Articles

Thoughts on AI, retail tech, decision intelligence, and data science.

Peer-ReviewedEnergy & Forecasting

International Journal of Advanced Research · 2026

Benchmarking Statistical, ML, Deep Learning, and Hybrid Models for Global Renewable Energy Consumption

With Paramita Roy — walk-forward CV, structural breaks, and SDG-relevant energy forecasting (open access).

FinTech

2026

Building a Real-Time Financial Sentiment Intelligence Dashboard

End-to-end sentiment analysis dashboard for financial news using NLP, Python Flask backend, and React frontend.

Travel RetailAI

May 2026

The Passenger-to-Sale Conversion Crisis in Travel Retail

Record passengers, declining spend. How AI-powered demand forecasting, personalisation, and shelf intelligence can close the conversion gap.

Browse All Articles

Technical Skills

Data Science & AI

Python (Pandas, NumPy) Scikit-Learn PyTorch / TensorFlow CNNs / Vision Transformers NLP / LLMs Feature Engineering Model Evaluation

BI & Data Engineering

Power BI / DAX Power Query (M) SQL Server Advanced Excel Data Visualisation Data Modeling ETL Pipelines

Tools & Deployment

Git / GitHub Docker / Render Flask VS Code / Cursor (AI-Assisted) Microsoft Dynamics 365 Jupyter Notebook

Research & Modelling

ARIMA / XGBoost / LSTM Transformer Architectures PCA & Clustering GSEA & Pathway Enrichment Statistical Analysis Experimental Design Scikit-Learn Pipelines

Certifications & Professional Development

Let's Connect

Collaboration & Speaking

Open to research collaboration, speaking, and open-source work on AI, data, and decision systems.

Get in Touch

Research & Collaboration

Open to research collaborations and technical discussions around AI, data science, and decision support systems.

Get in Touch