You will get Expert Data Science & Machine Learning Solution
Project details
Unlock actionable insights with tailored data science solutions that empower your business. With extensive expertise in data preprocessing, predictive modeling, NLP, image classification, and sentiment analysis and recommendation system, I transform raw data into strategic, decision-driving insights. Each project is delivered with clear documentation, robust models, and visually compelling dashboards that help you stay ahead of the competition.
Machine Learning Tools
BERT, Keras, MATLAB, Microsoft Power BI, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, Tableau, TensorFlow, Tesseract OCR, TextBlob, Weka, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$5
|
Standard
$7
|
Advanced
$8
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
MERN Website Integration
(+ 3 Days)
+$5About Mohamed
Machine Learning Engineer & Predictive Modeling
Alexandria, Egypt - 1:37 am local time
I am a Data Scientist, Machine Learning Engineer, and Full-Stack Developer with a passion for building AI-driven solutions that solve real-world problems. My expertise spans data analysis, predictive modeling, and recommendation systems, leveraging technologies like Python, SQL, TensorFlow, and Scikit-learn.
What I Do Best:
• Machine Learning & AI: Developed predictive models using regression, KNN, decision trees, and deep learning. Applied MLOps tools like MLflow and Hugging Face for deploying models efficiently.
• Data Science & Analytics: Built stock analysis dashboards, performed data wrangling and visualization, and applied CRISP-DM methodology to deliver actionable insights.
• Recommendation Systems: Engineered a hybrid anime recommendation system using collaborative and content-based filtering with KNN and Gradio for an interactive user experience.
• Full-Stack Development: Created a Netflix clone using React, Redux Toolkit, Firebase, and MongoDB. Built a JavaFX desktop application for the Grand Egyptian Museum, integrating a chatbot and real-time chat room with Socket.IO.
• Freelancing & Problem-Solving: Experienced in working with clients, managing projects, and delivering AI-driven solutions tailored to business needs.
I’m always excited to work on innovative projects that blend AI, data science, and software engineering. Let’s connect and build something amazing together!
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering:
Client submits project objectives, data sources, and specific requirements.
Data Preparation:
Clean, preprocess, and perform exploratory data analysis (EDA) on the gathered data.