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English
$
USD
I will do clean advanced or ml ready data basic to pro processing
Data Scientist, Analytics, Python, SQL, ML, Data Cleaning Specialist!
Hi there! I’m Soham, data scientist and Python expert dedicated to helping businesses unlock the true potential of their data. Whether you need predictive models, automated workflows. I transform comp...
About this Gig
Do you need your messy data transformed into a clean, analysis-ready, or machine learning-ready format?
I specialize in three levels of data cleaning from basic fixes to advanced preprocessing for ML models.
BASIC CLEAN (Perfect for reports & visualization)
- Remove duplicates & irrelevant columns
- Handle missing values (drop or simple imputation)
- Fix data types (dates, numbers, categories)
- Statistical Analysis
- Standardize text (case, trim, remove whitespace)
ADVANCED CLEAN (For deep analytics & dashboards)
- Everything in Basic +
- Outlier Analysis (IQR, Z-score)
- Advanced missing value imputation (KNN, median, mode)
- Merge/join multiple datasets
- Create derived features (ratios, aggregates)
- Correct inconsistent categories & encoding errors
ML-READY DATA (For model training)
- Everything in Advanced +
- Encode categorical variables (One-Hot, Label, Ordinal)
- Feature scaling (MinMax, StandardScaler, RobustScaler)
- Train/validation/test split (70-20-10 or custom)
- Handle class imbalance (oversampling/undersampling if needed)
- Remove target leakage
- Output in TensorFlow or sklearn-ready format
WHAT YOU PROVIDE:
- Raw data file(s) CSV, Excel or SQL files.
-
Platform:
Jupyter Notebook
Development technology:
Python
•
Power BI
Expertise:
Formatting
•
Functions
•
Charts
•
Cleaning
•
Data validation
FAQ
Do you handle image or audio data?
No. This gig is for structured/tabular data only.
Will the ML-ready data work with any framework?
Yes — output is framework-agnostic (CSV + NumPy arrays). Scalers/encoders are saved as pickle files for sklearn compatibility.
Can you work with Google Sheets or SQL databases?
Yes — share view-only access or export to CSV/Excel. For SQL, provide a dump or read-only credentials.
What if my data has dates in multiple formats?
I will standardize all date columns to a single format (e.g., YYYY-MM-DD) in Advanced and ML packages.
Do you handle text data like tweets or reviews?
Yes, But not for these gigs. Basic cleaning (lowercase, remove punctuation, strip spaces) is included. NLP preprocessing (tokenization, stopwords, lemmatization) is an extra — message me.
