I will clean and process your data into ai ready datasets
Django React Apps APIs AI Integration Custom Datasets
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Have messy, unstructured, or scattered data that needs to be cleaned and organized? I transform raw data into clean, structured, analysis-ready or AI-ready datasets using Python from one-time cleaning to automated data pipelines.
- Data cleaning duplicates, missing values, inconsistencies, formatting
- Dataset creation collect, structure, and format data from any source
- AI/ML data preparation feature engineering, encoding, train/test splits
- Data transformation merge, reshape, aggregate, normalize across files
- Automated pipelines recurring Python scripts that process data on schedule
- Any format CSV, Excel, JSON, databases, APIs, web sources
I don't just clean cells I build complete data pipelines. Whether you need a one-time dataset cleaned or an automated system that processes data weekly, I deliver production-quality results with Python, Pandas, and SQL.
How I Work:
- Free data assessment send me a sample
- Cleaning and processing plan with timeline
- Python-based processing with quality checks
- Delivery in your preferred format + documentation
- Reusable Python script included (Standard+)
Send me a sample of your data free assessment and quote within 1 hour!
Technology:
Excel
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Google Sheets
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Python
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PowerShell
FAQ
What types of data can you clean and process?
Any structured or semi-structured data: CSV files, Excel spreadsheets, JSON, XML, database exports, API responses, and web-scraped data. I work with text, numerical, date/time, and categorical data. If it's data, I can process it.
Can you create a dataset from scratch?
Yes! I can collect data from websites, APIs, public databases, and other sources, then clean, structure, and format it into a ready-to-use dataset. Especially useful for ML/AI projects that need custom training data. This is included in the Premium package.
What makes a dataset "AI-ready" or "ML-ready"?
An AI-ready dataset is properly cleaned, correctly formatted, with engineered features, proper encoding for categorical variables, normalized numerical values, and train/test/validation splits. My MS in Artificial Intelligence means I know exactly what ML models expect — not guessing.
Can you build automated data pipelines?
Yes — I build Python scripts that automatically collect, clean, and process your data on a schedule (daily, weekly, monthly). Perfect for businesses that need regular data updates without manual work every time. Included in Standard (reusable script) and Premium (full automated pipeline).
What tools and languages do you use?
Python (Pandas, NumPy, scikit-learn for ML prep), SQL for database operations, and specialized libraries for different data types. For web data collection, I use BeautifulSoup, Scrapy, and Selenium. All scripts are well-documented so your team can maintain them.
How do you handle large datasets?
I've processed datasets for trading platforms with hundreds of thousands of records. I use chunked processing, efficient Pandas operations, and SQL for large-scale data. Standard handles up to 50K rows; Premium handles 200K+. For larger datasets, message me for a custom quote.
Can you merge data from multiple sources?
Yes — merging, joining, and consolidating data from multiple files, databases, or APIs is a core service. I handle schema mapping, key matching, deduplication, and conflict resolution to create one unified, clean dataset.
Do I get the Python script along with the processed data?
Yes (Standard and Premium)! You receive the cleaned/processed data AND the Python script that produced it. This means you can re-run the processing on new data yourself without hiring anyone again. Basic package includes processed data only.
Can you prepare text data for NLP projects?
Absolutely. I handle text cleaning (HTML removal, special characters, stopwords), tokenization, lemmatization, labeling/annotation preparation, and formatting for NLP model training. Sentiment analysis, text classification, entity extraction — all text data formats supported.
What do you need from me to get started?
Message me with: (1) a sample of your data (or describe what data you need collected), (2) what you want the final output to look like, and (3) how you'll use the data (analytics, ML training, business reporting). I'll send a free assessment and detailed quote — usually within 1 hour.

