I will build machine learning and data science projects in python
Tech Support and Cybersecurity expert
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Machine learning engineer with 3+ years building and shipping real ML systems, not just notebooks. I work across the full pipeline: data cleaning, model training, deployment, and everything in between.
Services:
- Python Machine Learning & Data Analysis
- Deep Learning & Neural Network Design
- Computer Vision & Object Detection (YOLO, OpenCV)
- Natural Language Processing (NLP) & Large Language Models
- TinyML & Edge AI Deployment
- Data Preprocessing & Feature Engineering
- AI Model Fine-Tuning & Optimisation
- Speech Processing & Audio Analysis
- Python Data Visualization (bar, pie, scatter, line, etc.)
- Embedded AI Integration on Hardware
Why work with me?
I've shipped models on resource-constrained hardware, from Raspberry Pi to Jetson Nano. I use PyTorch, TensorFlow, and Scikit-Learn daily, not just for demos. Turnaround is fast, communication is direct, and the code is clean.
Tools:
Python, PyCharm, Jupyter Notebook, Google Colab TensorFlow, PyTorch, Scikit-Learn, OpenCV Edge Impulse, Teachable Machine, Kaggle Raspberry Pi, Arduino 33 BLE Sense, Nvidia Jetson Nano LangChain, ActiveLoop
Good for: research projects, startup MVPs, analytics pipelines, and edge AI prototypes.
Programming language:
Python
•
MATLAB
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SQL
•
Colab
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NoSQL
Frameworks:
Scikit-learn
•
Google ML Kit
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Keras
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PyTorch
•
Panda
Other Data Science & ML Services I Offer
FAQ
What data types do you work with?
CSV, Excel, tabular datasets, text data and labelled datasets for ML tasks.
Can you do NLP projects?
Yes. Text classification, vectorisation, preprocessing and model training are fine.
Can you help with academic projects?
Yes, but I’ll keep the work inside ethical limits. I can help with implementation, debugging, analysis and explanation.
Do you write reports too?
Yes. I already do technical writing work on Fiverr, so I can package the results clearly.
Can you promise a certain accuracy?
No. Real performance depends on the data. Anybody promising fixed accuracy before seeing the dataset is guessing.
