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).
Hi, I'm Shaon Biswas — AI-Powered Solutions Architect. I design intelligent systems that boost productivity, improve operations, and drive smarter decisions.
With 6+ years of enterprise experience and an MSc (Distinction) in AI & Data Science, I build end-to-end solutions across finance, retail, and business consulting.
Open to: Research collaborations · Consulting engagements
Providing strategic direction and data-driven solutions to enterprises globally.
6+ years of experience across the UK, Canada, Sweden, and Bangladesh.
Building end-to-end data solutions for leading global FMCG and consumer goods brands across international travel retail — spanning Power Query pipelines, Power BI dashboards, DAX-driven analytics, and bespoke automation tools for retail pricing and promotional analysis.
ShelfTrak Limited
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.
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
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
AI-powered solutions tailored to the industries I know best.
Stock-picking tools, sentiment-driven market analysis, and custom financial apps — AI systems that sharpen investment decisions and automate reporting.
Demand forecasting, customer segmentation, and intelligent analytics — AI solutions that optimise inventory, pricing, and personalisation at scale.
Marketing, finance, and operations — AI-driven consulting that improves productivity, streamlines workflows, and elevates strategic decision-making.
End-to-end AI solutions — from strategy to deployment — tailored to your business.
Custom intelligent applications — stock analysis engines, financial dashboards, and decision-support systems that turn raw data into actionable strategy.
ML-powered systems that streamline operations — demand forecasting, process automation, and real-time BI that eliminates bottlenecks and cuts costs.
AI-driven consulting across marketing, finance, and operations — helping teams work smarter with automated workflows and data-backed strategy.
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.
Years Experience
Countries Worked In
Published Paper
Research Interests & Academic Work at the intersection of AI, predictive analytics, and data science.
My research focuses on AI-driven decision support systems, with applied work in medical imaging and predictive analytics.
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.
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.
Benchmarking specialised deep learning architectures — EfficientNetV2-S, DeiT-Small, MaxViT-Tiny, and DINO — for automated glaucoma detection from retinal fundus imagery, focusing on improving sensitivity for early-stage diagnosis.
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.
A deep learning diagnostic tool utilizing computer vision and advanced metrics to classify medical images with high accuracy.
Achieves 95%+ classification accuracy on benchmark datasets.
Featured in leading global travel retail trade publications, recognised for advancing data-driven analytics across international airport retail.
The world's leading travel retail business publication.
Global Travel Retail Magazine — industry authority covering 50+ international markets.
Duty Free News International — global duty free and travel retail industry publication.
Thoughts on AI, retail tech, decision intelligence, and data science.
With Paramita Roy — walk-forward CV, structural breaks, and SDG-relevant energy forecasting (open access).
End-to-end sentiment analysis dashboard for financial news using NLP, Python Flask backend, and React frontend.
Record passengers, declining spend. How AI-powered demand forecasting, personalisation, and shelf intelligence can close the conversion gap.
Looking to collaborate on BI, AI, or data engineering projects? Let's build something impactful.
Discuss a ProjectOpen to research collaborations and technical discussions around AI, data science, and decision support systems.
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