I will build a time series forecasting model for any business

Parte de la información aparece en idioma inglés.

Pakistán

Hablo Inglés

AI and Data Science Expert

AI Lead with 7+ years building production AI systems for governments, banks, and telecoms. Currently deploying AI agents for Qatar's national smart city platform (TASMU), processing 1,000+ weekly quer...
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Bad forecasts are expensive. Overstocked shelves, understaffed shifts, missed revenue targets, and idle cash, all caused by models that looked good on paper but failed in production.


I build forecasting systems that actually work. At Faysal Bank, my cash demand forecasting model reduced shortages by 90% and delivered PKR 124M in annual savings by combining rigorous feature engineering, ensemble methods, and continuous error analysis rather than relying on a single off-the-shelf model.


Whether you need to forecast sales, inventory, cash flow, energy consumption, or staffing demand, I'll run a structured model comparison, tune for your specific error metric, and deliver production-ready code with a full accuracy report.


No black boxes. Every forecast comes with explainability, confidence intervals, and honest error analysis.

Experiencia:

Aprendizaje de características

Clasificación

Lenguaje de programación:

Python

SQL

NoSQL

MLflow

Amazon SageMaker

Marcos:

Scikit-learn

Google ML Kit

keras

PyTorch

Panda

API:

Microsoft Computer Vision AI

Amazon Rekognition

Herramientas:

Jupyter Notebook

TensorFlow

Excel

MLflow