You will get a predictive forecasting model for planning and demand
Project details
Turn historical data into a planning signal with a validated forecasting pipeline. I build time-series models for demand, revenue, volume, workload, capacity, inventory, or other measurable business series. The work includes baseline comparison, train and test design, leakage checks, feature drivers, accuracy metrics, uncertainty, scenarios, and planning-ready outputs.
Starter delivers a forecast baseline on a prepared series. Standard adds richer drivers, model comparison, scenarios, uncertainty, and visual planning output. Advanced delivers a connected forecasting system with scheduled refresh, monitoring, deployment, and handover. I measure performance against simple baselines so a complex model is only used when it adds real value.
You receive source code, backtest results, configuration, and operating notes. Forecasts are estimates, not guarantees. Accuracy depends on stable definitions, sufficient history, representative events, data quality, and whether future conditions resemble the training period. Structural breaks, one-off events, and unavailable drivers can reduce reliability. Data engineering beyond scope, hosting, paid tools, and infrastructure are client-funded.
Starter delivers a forecast baseline on a prepared series. Standard adds richer drivers, model comparison, scenarios, uncertainty, and visual planning output. Advanced delivers a connected forecasting system with scheduled refresh, monitoring, deployment, and handover. I measure performance against simple baselines so a complex model is only used when it adds real value.
You receive source code, backtest results, configuration, and operating notes. Forecasts are estimates, not guarantees. Accuracy depends on stable definitions, sufficient history, representative events, data quality, and whether future conditions resemble the training period. Structural breaks, one-off events, and unavailable drivers can reduce reliability. Data engineering beyond scope, hosting, paid tools, and infrastructure are client-funded.
Machine Learning Tools
NumPy, pandas, Python, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$125
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 4 days | 9 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 5 | 10 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Sardar Aaqib
AI Systems Engineer | RAG, AI Agents, Automation & Python Apps
Abbottabad, Pakistan - 7:13 pm local time
I’m Aaqib Gulistan, a Senior Data Scientist and AI Systems Engineer. I connect models, data, tools, interfaces, and guardrails into one dependable workflow. That means you do not have to coordinate a chatbot developer, an automation specialist, a data engineer, and a web developer to ship one product.
I can help you build:
- Private RAG and knowledge assistants with source-aware answers
- AI agents that use APIs, n8n workflows, browsers, databases, and approval gates
- Web data pipelines with validation, SQL storage, monitoring, and delivery
- Full-stack AI applications with responsive interfaces and Python backends
- Analytics, anomaly detection, forecasting, entity resolution, and operational dashboards
- Local or hosted LLM infrastructure, model routing, evaluation, logging, and deployment
My selected work spans agent orchestration, LLM-assisted DevOps, financial intelligence, multi-source event search, private audit knowledge systems, telecom analytics, and document automation. My current flagship build is an enterprise knowledge and agent-orchestration platform that moves from cited evidence to controlled action.
How I work:
1. Define the business outcome and acceptance criteria.
2. Map the data, systems, risks, and human decisions.
3. Build the smallest dependable end-to-end release.
4. Test failure paths, document the system, and hand over editable source code.
Send me your workflow, data sources, required integrations, and definition of done. I’ll identify a focused first release and the clearest path to production.
Steps for completing your project
After purchasing the project, send requirements so Sardar Aaqib can start the project.
Delivery time starts when Sardar Aaqib receives requirements from you.
Sardar Aaqib works on your project following the steps below.
Revisions may occur after the delivery date.
Forecast objective and validation design
I define horizon, frequency, baselines, train and test windows, leakage controls, business drivers, metrics, and acceptance criteria.
Build and compare forecast models
I prepare the time series, engineer approved drivers, compare baselines and models, quantify uncertainty, and create planning outputs.