I will build, train, evaluate, and optimize machine learning models

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Data Engineer, Full Stack Problem Solver, Python, SQL, React, SEO

I build things end to end: pipelines that move data, dashboards that explain it, and websites that rank for it. Day to day I work in Python, SQL, Airflow, and Docker for pipelines, plus React and Word...
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Need a Machine Learning Engineer or Data Scientist to build and evaluate predictive models?

I help businesses, startups, researchers, and students develop machine learning solutions that transform raw data into accurate predictions and actionable insights.

Services Include:

Data Cleaning & Feature Engineering

Exploratory Data Analysis (EDA)

Model Selection & Experimentation

Supervised Learning Models

Unsupervised Learning Models

Classification & Regression

Hyperparameter Tuning

Model Evaluation & Benchmarking

Feature Importance Analysis

Time Series Forecasting

Recommendation Systems

End-to-End ML Pipelines

Tools & Technologies:

Python

Scikit-Learn

XGBoost

LightGBM

TensorFlow

PyTorch

Pandas

NumPy

Jupyter Notebook

SQL

Deliverables:

Clean Source Code

Trained Models

Evaluation Metrics

Visualizations & Reports

Reproducible Experiments

Documentation

Whether you need customer churn prediction, sales forecasting, fraud detection, recommendation systems, or custom predictive models, I can help design, train, and optimize the right solution for your project.

Please contact me before placing an order to discuss your dataset and objectives.

Expertise:

Feature-Lernen

•

Klassifizierung

•

Churn

•

Clustering

Programmiersprache:

Python

•

SQL

•

NoSQL

•

MLflow

•

Amazon SageMaker

Frameworks:

scikit-learn

•

Google ML Kit

•

keras

•

PyTorch

•

Panda

APIs:

Google Cloud Vision API

Tools:

Jupyter-Notizbuch

•

tensorflow

•

Excel

•

MLflow

•

Colab

•

Andere

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