I will build custom python machine learning and ai models
AI Engineer, Python Developer , AI Agents, LLMs Chatbots, Computer Vision
About this Gig
Unlock Your Data's Value with Expert ML Solutions
Need actionable insights? I bridge raw numbers and business intelligence by building robust, high-performing Python machine learning models and custom AI solutions. As an AI-focused Machine Learning Engineer, I apply rigorous methodology to ensure your models are mathematically valid, scalable, and bias-free.
My Core Services:
- Supervised Learning: Regression (Price, Sales & Demand) & Classification (Fraud Detection, Churn).
- Unsupervised Learning: Customer Segmentation, Clustering, & Dimensionality Reduction.
- Deep Learning: Neural Networks using TensorFlow & Keras.
- Data & EDA: Cleaning, feature engineering, and Pandas/NumPy analysis.
- Visualization: Professional dashboards, charts, and Matplotlib/Seaborn heatmaps.
Why Choose Me?
- Code Quality: Clean, commented, PEP8 compliant Python.
- Tech Stack: Python | Pandas | NumPy | Scikit-Learn | TensorFlow | Keras | OpenCV
CONTACT ME FIRST: Please message me before ordering to discuss your unique dataset and goals.
Let's build something intelligent!
Expertise:
Classification
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Decision trees
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Predictive analysis
Programming language:
Python
Frameworks:
Scikit-learn
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SimpleCV
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Keras
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PyTorch
Tools:
Jupyter Notebook
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Excel
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SimpleCV
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What do you need from me before starting the project?
Please contact me first with a brief overview of your goals and your dataset (CSV, Excel, database extract, etc.). If you don't have a dataset yet, let me know your problem statement (e.g., price prediction, customer churn), and I can help you source or simulate one.
What machine learning frameworks and libraries do you use?
I develop using Python, utilizing industry-standard libraries including Scikit-Learn for traditional ML, TensorFlow and Keras for deep learning neural networks, OpenCV for computer vision, and Pandas/NumPy for robust data preprocessing.
Will you provide the source code and documentation?
Yes! You will receive clean, heavily commented, PEP8-compliant Python code delivered via a Jupyter Notebook, Python script files, or a GitHub repository, complete with a README guide on how to run your model.
Can you deploy the machine learning model into a web application?
Yes, depending on the package or custom offer, I can build interactive web dashboards and prediction interfaces using Streamlit so you can easily test or deploy your model live.
What if my dataset is messy or requires cleaning?
Data preprocessing and Exploratory Data Analysis (EDA) are part of my core workflow. I handle missing values, outliers, feature scaling, and feature engineering to ensure your data is optimized for high-performing models.

