You will get high-quality feature engineering for accurate ML models
Project details
You will get professional, high-quality feature engineering that transforms raw, unstructured, or messy datasets into clean, powerful, machine-learning-ready features. I specialize in identifying the most impactful variables, applying advanced preprocessing techniques, encoding categorical features, extracting statistical and domain-specific signals, and generating new features that improve model accuracy, stability, and interpretability.
With experience across predictive analytics, finance, sensor data, NLP, and time-series applications, I deliver work that is precise, well-documented, and designed to maximize your model’s performance. Every project includes clear communication, reproducible code, and clean outputs—ensuring you receive results that are both technically sound and easy to integrate. The work you receive is always original, optimized, and tailored to your dataset and business goals.
With experience across predictive analytics, finance, sensor data, NLP, and time-series applications, I deliver work that is precise, well-documented, and designed to maximize your model’s performance. Every project includes clear communication, reproducible code, and clean outputs—ensuring you receive results that are both technically sound and easy to integrate. The work you receive is always original, optimized, and tailored to your dataset and business goals.
Machine Learning Tools
Accord.NET Framework, Amazon SageMaker, AnyLogic, Apache Mahout, Apache MXNet, Apache Spark, Apache Spark MLlib, ArcGIS, Azure Machine Learning, BERT, BigDL, Caffe, Chainer, ChatGPT, Cloudera, Databricks Platform, Databricks MLflow, Deeplearning4j, fastText, GitHub Copilot, GoLearn, Google Data Studio, Google Sheets, H2O, HortonworksWhat's included
| Service Tiers |
Starter
$34.99
|
Standard
$69.99
|
Advanced
$99.99
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 5 | 10 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Extra Scenario
+$9.99
Extra Model Variation
+$14.99
24-hour Express Delivery
+$14.99Frequently asked questions
About Mohamed Ghassen
AI Engineer
Menzel Bourguiba, Tunisia - 6:49 am local time
I work best on projects involving:
Machine Learning & Deep Learning models
Natural Language Processing (NLP) (information extraction, text analysis)
Data analysis, feature engineering, and predictive modeling
AI-powered backend systems and APIs
Full-stack AI applications (React, Node.js, MongoDB)
I combine strong engineering fundamentals with a research-oriented mindset, ensuring solutions are not only functional but also accurate, optimized, and production-ready. I focus on clean code, clear communication, and delivering real business value.
If you need an AI solution that works — not just a model — I’m ready to help.
Steps for completing your project
After purchasing the project, send requirements so Mohamed Ghassen can start the project.
Delivery time starts when Mohamed Ghassen receives requirements from you.
Mohamed Ghassen works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review & Dataset Assessment
I review your dataset, project goals, business logic, and ML task to determine the right feature engineering strategies.
Data Cleaning & Preprocessing
I handle missing values, outliers, data types, inconsistencies, and normalization steps required before feature engineering.