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I will clean, preprocess, and engineer features for your machine learning data
MSc Data Scientist, Custom ML Models and AI Prompts
I develop solutions in Data Science and Machine Learning, grounded in a strong technical foundation. My expertise is built upon a Master's in Computer Science and Harvard-verified certifications in Py...
Informazioni su questo servizio
Professional Data Cleaning & Preparation for Machine Learning
Are you struggling with messy, unstructured data that's holding back your ML projects? I transform your raw data into **ML-ready datasets** so you can focus on building models, not cleaning data.
What I Offer:
- Data Cleaning: Handle missing values, remove duplicates, fix inconsistencies
- Data Transformation: Encoding, normalization, scaling, and feature engineering
- Quality Assurance: Validate data integrity and ensure ML compatibility
- Format Conversion: Prepare data in CSV, Excel, JSON, or any required format
- Documentation: Clear explanations of all preprocessing steps
Package Details:
Basic:
- Dataset up to 5,000 rows
- Basic cleaning & formatting
- CSV/Excel output
- 2-day delivery
Standard - MOST POPULAR:
- Dataset up to 25,000 rows
- Advanced preprocessing (scaling, encoding)
- Feature selection & EDA report
- 4-day delivery
Premium ($395):
- Dataset up to 100,000 rows
- Custom feature engineering
- Data pipeline setup
- Priority support & 7-day delivery
Industries I Serve:
- E-commerce & Retail Analytics
- Financial Data Processing
- Healthcare & Medical Data
- Research
Linguaggio di programmazione:
Python
•
R
•
SQL
•
Java
•
MLflow
Framework:
Scikit-learn
•
DeepPy
•
keras
•
PyTorch
•
Panda
FAQ
Q1: What format should my data be in?
A: I accept CSV, Excel, SQL dumps, JSON, and most common formats. If unsure, just message me!
Q2: How do you handle missing data?
A: I use multiple strategies (mean/median imputation, regression, or custom methods) based on your data type and ML requirements.
Q3: Can you work with sensitive/confidential data?
A: Yes! I sign NDAs and follow strict confidentiality protocols. Your data is never shared or stored after project completion.
Q4: What if I need changes after delivery?
A: Each package includes revisions (1-3 depending on package). I ensure you're 100% satisfied.
Q5: Do you build ML models too?
A: My specialty is data preparation. For model building, I recommend focusing on clean data first, then we can discuss model options separately.
Q6: Can you handle very large datasets (1M+ rows)?
A: Yes! Contact me before ordering for custom pricing on large datasets.
Q7: What ML algorithms do you optimize data for?
A: I prepare data for all common algorithms: Regression, Classification, Clustering, Neural Networks, and Time Series models.
