You will get AI, machine learning, data science, and AI agent solutions
Project details
I build practical AI and data science solutions that turn raw data, business problems, and repetitive workflows into useful results.
Depending on your needs, I can help with data analysis, machine learning, Generative AI, NLP, AI-powered applications, and AI agent workflows using Python and modern AI tools.
My approach is end-to-end: I first understand the problem, analyze the available data or requirements, design the right solution, build and test it, then deliver clean source code and documentation.
I focus on solutions that are understandable, maintainable, and built around your actual goal — not just a model or a piece of code.
Whether you need insights from your data, a predictive model, an AI-powered application, or a small intelligent agent, I can help turn the idea into a working solution.
Depending on your needs, I can help with data analysis, machine learning, Generative AI, NLP, AI-powered applications, and AI agent workflows using Python and modern AI tools.
My approach is end-to-end: I first understand the problem, analyze the available data or requirements, design the right solution, build and test it, then deliver clean source code and documentation.
I focus on solutions that are understandable, maintainable, and built around your actual goal — not just a model or a piece of code.
Whether you need insights from your data, a predictive model, an AI-powered application, or a small intelligent agent, I can help turn the idea into a working solution.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AI, Facial Recognition, Image Analysis, Natural Language Generation, Natural Language Understanding, Object Localization, Sentiment Analysis, Speech Synthesis, Text Recognition, Time Series AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, GPT-4, LLaMA, Naive Bayes Classifier, OpenAI CodexWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10Frequently asked questions
About Abualgasim
Data Analyst & AI/ML Engineer | Python, SQL, Dashboards
Kigali, Rwanda - 8:23 pm local time
I work with Python, SQL, Pandas, Scikit-learn, data visualization, and machine learning to help clients with:
• Data cleaning and preprocessing
• Exploratory data analysis (EDA)
• Business and sales analytics
• Interactive dashboards and reports
• Web scraping and data collection
• Machine learning models and predictions
• Automation of repetitive data workflows
I focus on clean, understandable results — not just code. My goal is to turn raw data into something you can actually use to make better decisions.
I’ve built hands-on projects across data analysis, machine learning, web scraping, and AI applications, and I’m comfortable working with Python-based data workflows from raw data through analysis and modeling.
If you have a dataset, a repetitive data task, or a business question that needs to be answered with data, I can help turn it into a practical solution.
Steps for completing your project
After purchasing the project, send requirements so Abualgasim can start the project.
Delivery time starts when Abualgasim receives requirements from you.
Abualgasim works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the requirements
Review your goals, data, materials, and expected outcome to define the right technical approach.
Analyze and design
Inspect the data or requirements and design the appropriate data science, ML, AI, or agent workflow.