Open to ambitious opportunities

MAHD BAJWA · FINTECH · AI ·

I make business
run better.

Business digitisation specialist using workflow design, automation, data and code to turn busy organisations into structured, manageable systems.

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What I do

I connect finance, data and technology—building analytical models, programmable workflows and digital systems that turn complex information into decisions, then put those decisions to work.

Technical depth · Data analytics

From raw data
to defensible decisions.

I'm not limited to presenting dashboards. I work through the full analytical chain: interrogating messy datasets, cleaning and transforming variables, selecting features, building and comparing models, testing performance and translating the result into something a decision-maker can use.

Python · SQL · R · SPSS Modeler · Power BI · Tableau · APIs

An abstract end-to-end data analysis pipeline moving from raw data through code and predictive models to executive dashboards — 01 · INGEST02 · CLEAN & TRANSFORM03 · MODEL04 · VALIDATE05 · VISUALISE

Data engineering

Python, SQL, R and APIs for ingestion, cleansing, reshaping, joining and automating large, imperfect datasets.

Statistical modelling

Feature selection, correlation analysis, segmentation, classification and predictive workflows across RStudio and SPSS Modeler.

Model evaluation

Confusion matrices, ROC/AUC, precision, recall, sensitivity and specificity—selecting models on evidence, not appearance.

Decision intelligence

Power BI and Tableau dashboards that turn model output and operational data into clear commercial action.

UNIVERSITY ANALYTICS PROJECTInsurance purchase behaviour

Built an end-to-end analytical study across thousands of customer records: prepared the data, engineered variables, tested competing classification techniques, evaluated model performance and visualised the behavioural drivers behind purchasing decisions.

RANDOM FORESTGENERALIZED LINEAR MODELFEATURE SELECTIONCORRELATION HEATMAPKEY INFLUENCERS

Quantitative finance · Portfolio engineering

I model risk.
I don't just report returns.

Using ten years of Bloomberg historical data, I built a Python notebook that moves from raw market prices to an optimised, risk-aware portfolio—combining financial theory, statistical testing, numerical optimisation and clear interpretation.

Bloomberg BDH · Python · pandas · NumPy · SciPy · statsmodels · ARCH · Matplotlib

OPTIMISATION SURFACEMODERN PORTFOLIO THEORY

01MARKET DATA

Bloomberg extraction

BDH historical prices, aligned dates, DAX currency conversion, data cleansing and monthly resampling.

02STATISTICAL LAYER

Returns & distributions

Normalised and log returns, covariance matrices, skewness, kurtosis, Q-Q plots and normality tests.

03OPTIMISATION

Risk-return engineering

Monte Carlo portfolios, maximum Sharpe and minimum variance weights, efficient frontier, CML and tangency.

04RISK MODELLING

Beyond volatility

95% VaR, CVaR, GBM price paths, GARCH(1,1) volatility forecasts and Granger causality matrices.

PYTHON NOTEBOOK · FINANCIAL MODELLINGFrom price history to an investable decision

I wrote the analytical functions, optimisation constraints and simulations in Python, then interpreted what the outputs meant economically—not only which portfolio was mathematically optimal, but why its diversification, tail risk and risk-adjusted return mattered.

E[Rₚ] = wᵀμσₚ = √wᵀΣwSHARPE = (Rₚ − Rƒ) / σₚVaR · CVaR · GARCH

Financial engineering · FinTech architecture

Finance becomes more powerful
when it is programmable.

My technical grounding spans financial markets, digital assets, econometrics and the infrastructure beneath modern finance. I use code and APIs to connect market data, network activity and financial logic—then test how systems behave under real events and changing risk conditions.

PYTHON IN FINTECH · APIs · STATA · DLT · OPEN BANKING · DIGITAL ASSETS

FINANCIAL TECHNOLOGY STACKDATA → CODE → MODELS → INFRASTRUCTURE

05FINANCIAL SYSTEMS

Open banking · API ecosystems · centralised and decentralised finance

04LEDGER TECHNOLOGY

Bitcoin model · Ethereum model · DLT · consensus architecture

03FINANCIAL LOGIC

Risk factors · return models · event studies · abnormal returns

02PROGRAMMABILITY

Python · APIs · STATA · automated data and analytical workflows

01DATA LAYER

Prices · volume · blockchain network data · trends · market factors

Crypto market intelligence

Price, volume, network statistics, Google Trends and traditional and crypto-specific risk factors—tested across daily and weekly return models.

Econometrics & event studies

STATA-based descriptive analysis, outlier treatment, regression modelling and abnormal-return studies around market events, including comparative Bitcoin benchmarks.

Digital-asset engineering

Working knowledge of token architectures, mining and validation, Bitcoin and Ethereum models, proof mechanisms, simulated token deployment and exchange-listing workflows.

Open banking & APIs

Understanding how consented data, APIs and interoperable services reshape payments, lending and financial products across centralised and decentralised systems.

APPLIED CRYPTO-ASSET ANALYSISRipple XRP: markets, networks and event risk

Built a structured view of XRP by combining market data with network activity, search interest and candidate risk factors; modelled return drivers at multiple frequencies and used event-study methodology to distinguish asset-specific effects from wider crypto-market movements.

PRICE & VOLUMENETWORK METRICSGOOGLE TRENDSRISK-FACTOR MODELSEVENT STUDIESABNORMAL RETURNS

Applied AI · Automation engineering

I turn AI into
working business systems.

I work beyond isolated prompts. I combine language models, Python, APIs, agents and workflow platforms to remove repetitive work, structure unstructured information and produce controlled outputs that people can review, trust and use.

OPENAI · CUSTOM GPTs · CLAUDE CODE · CURSOR · LLM APIs · AI AGENTS · PYTHON · STREAMLIT · COPILOT

APPLIED AI OPERATING MODELDESIGNED FOR REAL WORK, NOT DEMOS

01BUSINESS INPUTDocuments · data · instructions

Investor records, financial workbooks, compliance information, operational updates and management requirements.

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02INTELLIGENCE LAYERLLMs · agents · retrieval

Prompt architecture, structured extraction, reasoning chains, tool use, validation rules and exception handling.

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03AUTOMATION LAYERPython · APIs · workflows

Streamlit applications, document generation, data consolidation, notifications and connected operating processes.

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04CONTROLLED OUTPUTReview · audit · decision

Human checkpoints, traceable outputs, exception logs, dashboards and business-ready documents.

AI document processing

Built Python and Streamlit workflows that merge investor, drawdown and contact data into individual capital-call notices—preserving document structure while validating names, figures and exceptions.

Reporting intelligence

Designed automation for multi-company portfolio reporting: mapping changing KPI formats, consolidating monthly data, checking anomalies and preparing reliable management outputs.

LLMs, agents & APIs

Custom GPTs, structured prompts, agentic task flows and API integrations that turn natural-language requirements into repeatable research, analysis, drafting and operational actions.

AI-enabled operations

Applied ChatGPT, Microsoft Copilot and workflow automation across accounting, compliance, client delivery and multi-site management—connecting intelligence to reminders, ownership and execution.

PROFESSIONAL CAPABILITYFrom prototype to practical deployment

I can identify the business problem, design the prompt and data structure, build the Python or API workflow, create a usable interface, test edge cases and introduce human controls. The result is not “AI for AI's sake”—it is faster, more consistent work with clearer accountability.

OpenAI / ChatGPTCustom GPTsClaude CodeCursor AIPrompt EngineeringAI AgentsLLM / API IntegrationPython / StreamlitMicrosoft CopilotMonday.com Automation

OPERATING SCALE

Technical capability applied in the real world.

100+employees structured across hospitality businesses and operating teams

1operating panel connecting deadlines, people and performance

24/7visibility without constantly chasing every manager

Selected work

Ideas are useful.
Outcomes are better.

A selection of work across transformation, AI-enabled operations and founder-led execution.

FINTECHAI & AUTOMATIONOPERATIONS

Omega Accountants ↗

Transforming a traditional UK accountancy practice into a structured digital operation, with Monday.com at its centre. I designed connected boards for every client and workstream, automated reminders and chasing, centralised compliance lists, and created a management view spanning deadlines, meetings, QA and team ownership.

Client hubs, workflows and recurring deadlines
Automated reminders, escalation and chasing
Compliance, QA and management dashboards
Azure-enabled remote working environment

FOUNDERBRANDHOSPITALITY

WorkBeans ↗

Building Pakistan's first café-first coworking concept while using the same digitisation principles behind the scenes. Mobile workflows give managers clear routines and give me consistent oversight across checklists, standards and daily execution.

Concept, commercial strategy and brand
Mobile manager checklists and accountability
Remote oversight across daily operations

Businesses built & operated

Physical businesses.
Digitally managed.

I founded and helped build a hospitality portfolio supported by a team of more than 100 people. Different Monday.com boards connect hiring, onboarding, attendance, HR, daily operations, compliance, finance and management follow-up across every location—with QuickBooks supporting financial control.

01 · RESTAURANT

ONE MANAGEMENT LAYER

Recruitment→Onboarding→Attendance & HR→Daily checklists→QuickBooks→Management dashboards

Technical capability

Tools are only useful
when they change the work.

I combine operational understanding with the technical confidence to analyse data, build solutions and create the infrastructure teams need.

CORE PLATFORM

Monday.com

Advanced workflow architecture, connected boards, dashboards, forms, automations, reminders, dependencies, recurring work and mobile checklists.

CODE & INTEGRATION

Python · SQL · APIs

Data pipelines, programmatic cleansing, system integration, automation and practical internal tools.

STATISTICAL COMPUTING

R · RStudio

Exploratory analysis, feature engineering, correlations, statistical models and reproducible analytical work.

BUSINESS INTELLIGENCE

Power BI · Tableau

Data modelling, interactive dashboards, key-influencer analysis and decision-ready visual storytelling.

PREDICTIVE ANALYTICS

SPSS Modeler

Node-based data pipelines, model comparison, classification, validation and performance evaluation.

CLOUD & WORK

Microsoft Azure

Remote working environments, Microsoft workstations and cloud infrastructure for accountancy operations.

FINANCIAL MARKETS

Bloomberg Terminal

Confident navigation of market data, financial intelligence and analytical functions.

BUSINESS PROBLEM→WORKFLOW DESIGN→AUTOMATION→DATA & INSIGHT→BETTER MANAGEMENT

Operational systems

Monday.com,
made powerful.

Monday.com is one part of my wider technical and operational toolkit: a practical platform I configure to structure entire operations.

It becomes the management panel: every client, owner, deadline, dependency, reminder, meeting action and quality check is visible—and nothing important relies on memory.

Business control centreLIVE WORKFLOW

01Client hubComplianceDeadlinesQA & meetingsManagement

Active deliveryAll workstreams

Accounts & client filesFinance teamOn trackToday

Compliance reviewManagerReviewThu

Workstation follow-upOperationsAutomatedFri

IF deadline approaches THEN remind owner · escalate · update dashboard

Accountancy operations

Client hubs, recurring workflows, deadlines, compliance registers, reminders, meeting actions and quality-assurance checkpoints across the practice.

Distributed workstations

Tasking, documentation, follow-ups and performance visibility for client work delivered through remote and allocated workstations.

Restaurant management

Phone-friendly checklists, hiring, onboarding, attendance, HR and manager accountability—supported by QuickBooks financial control and live oversight without being everywhere at once.

The next good idea

Let's build something
worth talking about.

I'm open to business digitisation, FinTech, AI, transformation and technology-enabled operations opportunities in the UK and beyond.

Start a conversation LinkedIn View my timeline

I make businessrun better.

I connect finance, data and technology—building analytical models, programmable workflows and digital systems that turn complex information into decisions, then put those decisions to work.

From raw datato defensible decisions.