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I will do data cleaning, preprocessing and feature engineering for ml
Hi, I’m Rizwan Shah, an AI Engineer and Computer Vision Specialist helping clients build reliable AI, ML, deep learning, OCR, and object detection solutions. I offer services in data preprocessing, fe...
About this Gig
Are you working with messy, incomplete, unstructured, or raw data that needs to be prepared for machine learning, research, or business analysis? I will clean, preprocess, transform, and engineer your dataset into an AI-ready format using Python and industry-standard tools.
My services include:
- Missing value handling, duplicate removal, outlier analysis, invalid sample correction
- Data normalization, standardization, encoding, scaling, and transformation
- Feature extraction, feature selection, feature reduction, and statistical balancing
- Exploratory Data Analysis (EDA), correlation analysis, visualizations, and summary reports
- Research dataset preparation for thesis, publication, healthcare, EEG/BCI, business, forecasting, or ML projects
You will receive clean structured data, reusable Python code, and clear documentation depending on your package.
Please contact me before placing an order so I can review your dataset, goals, file format, and project requirements.
Programming language:
Python
•
SQL
•
Colab
•
NoSQL
•
MLflow
Frameworks:
Scikit-learn
•
SimpleCV
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
SimpleCV
•
CVAT
•
Colab
Other Data Science & ML Services I Offer
FAQ
What type of datasets can you clean and preprocess?
I can work with CSV, Excel, structured tables, research datasets, business data, healthcare data, survey data, forecasting data, and machine learning datasets.
What will you do in data preprocessing?
I can handle missing values, duplicates, outliers, invalid records, inconsistent formatting, encoding, scaling, normalization, standardization, and data transformation.
Do you provide feature engineering?
Yes. I can create new meaningful features, select important features, reduce unnecessary features, and prepare the dataset for machine learning models.
Will I receive the source code?
Yes, depending on the package. I can provide clean and reusable Python code using tools like Pandas, NumPy, Scikit-learn, and Jupyter Notebook.
Can you perform Exploratory Data Analysis?
Yes. I can provide EDA including summary statistics, distribution analysis, correlation analysis, visualizations, and key insights from your dataset.
Can you prepare data for machine learning models?
Yes. I can prepare an AI-ready dataset suitable for classification, regression, clustering, forecasting, or deep learning projects.
Do you work on research or thesis datasets?
Yes. I can help with thesis, publication, academic, healthcare, EEG/BCI, and research-level dataset preparation.
Q8: What do you need from me before starting?
Please share your dataset, project goal, target column if available, required output format, and any specific preprocessing or feature engineering requirements.
Q9: Can you build a machine learning model in this gig?
This gig mainly focuses on data preprocessing and feature engineering. If you need model development, I can offer it as an extra service or through a separate ML gig.
Q10: Should I contact you before placing an order?
Yes, please contact me first so I can review your dataset, understand your requirements, and recommend the best package.
