You will get Data-Driven Insights Using Advanced Machine Learning Models
Project details
Harness the power of data with a seasoned Data Scientist who specializes in chatbot data analysis, model building, and IoT. With proficiency in Python, TensorFlow, and MATLAB - SIMULINK, I deliver insightful and actionable solutions tailored to your needs. Over the past years, I've helped businesses optimize operations, engage customers, and drive growth using data-driven strategies. Together, let's turn your data into valuable insights.
Machine Learning Tools
ChatGPT, GitHub Copilot, Keras, MATLAB, Microsoft Excel, NumPy, OpenCV, Python, PyTorch, SciPy, SPSS, SQL, Tableau, TensorFlow, Tesseract OCR, Word2vecWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 5 | 10 | 18 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$10
Data Source Connectivity
(+ 4 Days)
+$50About Ayoub
Predictive Maintenance & IoT Developer | Aviation Data Pipelines | ML
Tangero, Morocco - 11:12 pm local time
My focus:
- Real-time sensor data processing & anomaly detection
- Remaining Useful Life (RUL) prediction models
- Industrial IoT dashboards with PostgreSQL + Docker
Looking for projects in: PHM, aviation software, industrial ML, or data engineering.
Steps for completing your project
After purchasing the project, send requirements so Ayoub can start the project.
Delivery time starts when Ayoub receives requirements from you.
Ayoub works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation
Discuss the project in-depth, ensuring a clear understanding of objectives and constraints.
Data Exploration and Cleaning
Dive deep into the provided data sets. Identify any missing values, outliers, or inconsistencies, and then preprocess and clean the data