Problem framing
Clarifying the decision being made, who owns it and what evidence would materially change it.
Founder, SSS Techs
Dr Muhammad Shoaib
Applied mathematician and data scientist working across quantitative modelling, forecasting, model assurance, scientific computing and analytical decision systems.
Professional profile
Quantitative depth, applied to decisions that have to hold up.
SSS Techs was founded to work on the analytical problems that sit between research methods and operational reality.
Dr Muhammad Shoaib works at the intersection of applied mathematics, data science, quantitative modelling, model validation, scientific computing and analytical software development. In practice these are not separate disciplines: a forecast is only as useful as the assumptions behind it, and a model is only usable once someone has built the workflow, checks and interface around it.
The problems he works on tend to share a shape. A number is being relied on and nobody is certain it holds. A forecast is presented without the uncertainty around it. An analytical process works but cannot be repeated or audited. In each case the technical question and the commercial question are the same question: is this good enough to decide on?
Because SSS Techs is founder-led, that judgement stays with the person doing the reasoning rather than being handed down a delivery chain.
Methods and assumptions
Choosing proportionate methods and making data choices, baselines and modelling assumptions explicit.
Validation and uncertainty
Testing sensitivity, edge cases, residual behaviour and uncertainty before an output is relied on.
From analysis to delivery
Carrying the reasoning through to interpretation, dashboards, APIs, workflows or documented handover.
Credentials
Academic background used as working discipline, not decoration.
The value of a research background in commercial work is the habit it enforces: state the assumptions, make the method reproducible, test the sensitivity and declare the limitations.
PhD in Applied Mathematics
The grounding used to formulate problems precisely, reason about uncertainty and judge when a method is justified.
More than 50 peer-reviewed publications
Applied to client work through stated assumptions, reproducible methods and clearly declared limitations.
From model to usable delivery
Experience spanning analysis, validation, dashboards, APIs and operational handover.
Technical depth
The technical foundations behind the consultancy work.
These are areas of analytical and computational depth rather than separate service packages. A difficult engagement will often draw on several of them at once.
Applied mathematical modelling
Formulating quantitative problems precisely enough that assumptions, structure and method can be examined and defended.
Forecasting, uncertainty and risk
Probabilistic forecasting, scenarios, calibration and downside analysis for decisions made under uncertainty.
Optimisation and scientific computing
Numerical methods, simulation, optimisation and reproducible computation for analytically demanding problems.
Analytical software and decision systems
Turning models into APIs, dashboards, automated workflows and tools that other people can use and audit.
Research and applied work
Research discipline informs the approach. The objective in commercial work is a defensible decision.
Peer-reviewed research rewards methods that others can reproduce and criticise. Commercial analytical work rewards something narrower: an answer a decision-maker can act on, with its limitations understood.
What carries across
ReproducibilityData handling, configuration and calculations structured so a third party can review them.
Mathematical modellingProblems stated precisely enough that the method can be chosen and defended.
Validation and uncertaintyBaselines, sensitivity and edge cases examined before an output is relied on.
Computational methodsNumerical and simulation techniques turned into tools that other people can operate.
Public technical work
Technical work you can inspect before starting a conversation.
Rather than asking prospective clients to take technical claims on trust, selected platforms, demonstrators and implementations are available to examine directly.
WattVector
The primary renewable analytics platform, combining forecasting, uncertainty, revenue intelligence and decision-support workflows.
View WattVectorGridRisk
A technical demonstrator for uncertainty-aware dispatch, storage optionality, downside exposure and scenario-based decision analysis.
View GridRiskOpen-source and research implementations
Public repositories and technical implementations that can be inspected for modelling approach, reproducibility and engineering practice.
View open sourceFounder-led delivery
Technical responsibility stays close to the client problem.
SSS Techs is the trading identity of Smart and Scientific Solutions Ltd, with analytical direction and technical responsibility led directly by the founder.
Modelling choices, validation strategy and technical communication remain directly led by Dr Muhammad Shoaib throughout the work. Where additional engineering, design or specialist expertise is required, collaborators can be brought in while assumptions, responsibilities and delivery ownership remain explicit.
Start with the problem
Discuss a problem with SSS Techs
If you have a difficult dataset, model, forecasting problem or analytical workflow, start with the problem rather than the technology. We can then establish what analysis, validation or tooling is genuinely required.