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I will clean, preprocess, and perform exploratory data analysis eda in python
Data Scientist, Python Automation Specialist, Machine Learning Engineer
Hi, I am a Computer Science graduate specializing in Data Science and Machine Learning pipelines. I help clients transform messy datasets into clean, structured, and actionable insights.
Core Experti...
About this Gig
Dealing with raw, messy data or need clear insights? I provide expert data cleaning, preprocessing, and exploratory data analysis (EDA) in Python using Jupyter Notebook.
Services Offered:
- Data Cleaning & Wrangling: Handle missing values, duplicates, formatting, and structural errors.
- Outlier Detection: Detect and treat anomalies using statistical techniques.
- Exploratory Data Analysis (EDA): Univariate, bivariate, and correlation analysis to uncover key trends.
- Data Visualization: High-quality visual plots (heatmaps, histograms, box plots) using Matplotlib & Seaborn.
- Feature Engineering: Categorical encoding, scaling, and transformation for ML readiness.
Tools Used: Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, Google Colab.
Deliverables:
- Cleaned dataset (CSV / Excel)
- Well-commented, reproducible Jupyter Notebook (.ipynb)
- Visual charts and clear analytical summaries
- Please message me before placing an order to discuss your dataset and goals!
My Portfolio
FAQ
Q: What format should I provide the data in?
You can provide your data in CSV or Excel (.xlsx / .xls) formats.
Q: What deliverables will I get?
You will receive the cleaned dataset (CSV/Excel) along with a well-commented Jupyter Notebook (.ipynb) containing all code, preprocessing steps, and visual charts.
Q: Can you handle custom datasets or machine learning preprocessing?
Yes, I can handle custom requirements, feature scaling, encoding, and preparation for ML models. Feel free to message me to discuss your specific goals.
