You will get expert AI and data science project consultation
Project details
Are you planning an AI, machine learning, data science, analytics, forecasting, or automation project but are unsure how to proceed?
I will help you review your project idea, assess technical feasibility, identify risks, and recommend a clear way forward before you spend significant time or money on development.
This consultation is ideal if you need help with:
• AI or machine learning project planning
• Data science and analytics solutions
• Forecasting or predictive modelling
• Dashboard and reporting ideas
• ChatGPT / LLM-based applications
• Python automation or data workflows
• Technical feasibility and architecture
• Project cost, timeline, and next steps
What you will receive:
• 30-minute consultation
• Review of your project requirements
• Feasibility assessment
• Suggested technical approach
• Key risks and challenges
• Recommended next steps
• Brief written summary after the session
My goal is to help you make a better technical decision before starting a larger project.
If we both agree to proceed with a larger implementation project after the consultation, I will credit the consultation fee toward the agreed project cost.
I will help you review your project idea, assess technical feasibility, identify risks, and recommend a clear way forward before you spend significant time or money on development.
This consultation is ideal if you need help with:
• AI or machine learning project planning
• Data science and analytics solutions
• Forecasting or predictive modelling
• Dashboard and reporting ideas
• ChatGPT / LLM-based applications
• Python automation or data workflows
• Technical feasibility and architecture
• Project cost, timeline, and next steps
What you will receive:
• 30-minute consultation
• Review of your project requirements
• Feasibility assessment
• Suggested technical approach
• Key risks and challenges
• Recommended next steps
• Brief written summary after the session
My goal is to help you make a better technical decision before starting a larger project.
If we both agree to proceed with a larger implementation project after the consultation, I will credit the consultation fee toward the agreed project cost.
Machine Learning Tools
Apache Spark, Apache Spark MLlib, BERT, ChatGPT, GitHub Copilot, Keras, MATLAB, NumPy, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, TensorFlowWhat's included $9.99
These options are included with the project scope.
$9.99
- Delivery Time 1 day
- Number of Revisions 0
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 0
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MI
Massab I.
Jun 10, 2026
Machine Learning Model Troubleshooting
Shoaib did an outstanding job on my machine learning project. They delivered clean, well-documented code ahead of schedule and achieved excellent model performance.
NY
Niam Y.
Jan 6, 2026
Senior Developers from Europe for Short Research Interview
About Muhammad
AI Systems Engineer | Forecasting, Risk Models, ML & Python Dashboards
100%
Job Success
Motherwell, United Kingdom - 9:34 pm local time
I help clients turn messy operational data, technical ideas, or research models into working dashboards, APIs, reports, and production-ready analytics pipelines.
I am a PhD-trained applied mathematician and AI/data science specialist with 20+ years of modelling experience across machine learning, predictive analytics, quantitative modelling, simulation, operational analytics, and real-world decision-support systems.
I can help with:
• Predictive analytics and forecasting
• Machine learning model development and validation
• Python dashboards using Streamlit, Plotly, pandas, and NumPy
• Risk scoring systems and decision-support tools
• Quantitative finance and simulation models
• Data cleaning, feature engineering, and pipeline design
• AI/LLM-assisted analytical tools
• Model benchmarking, testing, documentation, and handover
Selected projects:
1. Heston Model Calibration
Built a reproducible quantitative finance calibration framework for the Heston stochastic volatility model using Fourier pricing, constrained numerical optimisation, multi-start robustness checks, and diagnostic visualisations.
2. Probabilistic Renewable Dispatch
Developed a Python decision-support system for renewable energy forecasting, uncertainty calibration, and risk-aware dispatch planning using probabilistic forecasts, conformal calibration, optimisation, Streamlit, and FastAPI.
3. Latent Performance Benchmarking
Created a portfolio benchmarking framework using Fama-French-style models and stochastic frontier decomposition to separate systematic exposure, noise, and latent performance shortfall.
4. Sensor-Driven Risk Scoring System
Built an industry time-series analytics pipeline combining environmental and occupancy signals to generate operational early-warning risk scores for decision support.
My approach is structured and delivery-focused:
• Clarify the objective, constraints, and success metrics
• Audit and validate the available data
• Build a reproducible modelling pipeline
• Test assumptions and document limitations
• Deliver clean code, clear outputs, and practical recommendations
• Provide handover documentation so the solution is maintainable after delivery
Clients receive robust models, readable code, clear documentation, and outputs that support real decisions — not just notebooks or isolated scripts.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
I will review your project idea, goals, requirements, and any files, links, datasets, or notes you provide before the consultation.
Step 2
We will discuss your AI, machine learning, data science, analytics, or automation project and clarify the main technical objectives.