I will build production ready time series forecasting models

Certaines informations sont présentées en anglais.

Bangladesh

Je parle Anglais, Allemand, Espagnol, Français, Italien

AI,ML and Data Science Specialist,Data Annotation, Python, CVAT

Hi, I am Kofil Uddin,a Machine Learning Engineer & Data Specialist.From pixel perfect data annotation ,image annotation,video annotation to deploying production ready AI, I build end-to-end data pipel...
À propos de ce service

A predictive model is useless if it only lives in a Jupyter Notebook. You need production-ready AI.


Instead of just running basic statistical forecasts, I specialize in transforming raw historical data into scalable, deployed forecasting engines. From hyperparameter tuning to real-time API endpoints, I build end-to-end pipelines ready to be integrated into your business logic, whether you are predicting retail sales or high-frequency IoT sensor data.


Advanced Forecasting & ML:

  • Deep Learning & Modern AI: Neural Prophet (Specialty), LSTM, GRU.
  • Traditional & Statistical: ARIMAX, GMM, GARCH.
  • Tree-Based: XGBoost, Random Forest.
  • Hyperparameter Tuning: State-of-the-art optimization using Optuna for maximum accuracy.


The Production Pipeline (The Real Value):

  • Model Registry: Tracking and versioning with MLflow.
  • Time-Series Databases: Integration with TimeScaleDB or InfluxDB.
  • Backend API: Exposing your model via FastAPI for seamless software integration.
  • Visualization: Standalone interactive web apps (StreamlitPlotly) or live monitoring dashboards (Grafana).


IMPORTANT: Every dataset and business goal is unique. Please message me before ordering.

Expertise:

Apprentissage des fonctionnalités

Classification

Langage de programmation:

Python

SQL

Colab

NoSQL

MLflow

Frameworks:

Scikit-learn

Google ML Kit

keras

PyTorch

Panda

APIs:

Autres

Outils:

Jupyter Notebook

tensorflow

MLflow

Amazon SageMaker

Colab

Mon portfolio