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I will clean your dataset and deliver eda report in python
Data Scientist, AI Solutions Engineer, Agentic AI Specialist
Hi! I'm Zain, a Data Scientist & ML Engineer. I transform complex data into actionable insights using Python, ML, Deep Learning, and NLP. I specialize in building state-of-the-art agentic workflows wi...
About this Gig
Is messy data slowing you down? Most Data Science projects fail due to poor data quality. I am here to help. I provide expert Data Cleaning, Exploratory Data Analysis (EDA), and Feature Engineering to ensure your data is accurate, insightful, and "model-ready."
What I Offer:
1. Professional Data Cleaning
- Handling missing values (Imputation) and removing duplicates.
- Fixing structural errors and inconsistent data types.
- Outlier detection and treatment to prevent skewed results.
2. Deep Exploratory Data Analysis (EDA)
- Univariate and Multivariate analysis.
- Visual insights using Heatmaps, Scatter plots, and Histograms.
- Identifying hidden trends, patterns, and correlations.
- Statistical summaries that tell the story behind the numbers.
3. Advanced Feature Engineering
- Creating new meaningful features from raw variables.
- Categorical encoding (One-Hot, Label Encoding).
- Feature selection to boost model performance.
Tools & Technologies:
I use Python with industry-standard libraries: Pandas, NumPy, Seaborn, Matplotlib, and Scikit-learn.
Deliverables: You will receive a cleaned dataset (CSV/Excel) and a fully documented Jupyter Notebook (.ipynb) with all the code and visualizations.
My Portfolio
FAQ
What do I need to provide to get started?
Please provide your dataset in CSV, Excel, or SQL format along with a brief description of your goals. If you have specific questions you want the Exploratory Data Analysis (EDA) to answer, feel free to list them!
Which tools do you use for data cleaning and EDA?
I primarily use Python with powerful libraries like Pandas and NumPy for data manipulation, and Matplotlib or Seaborn for high-quality data visualizations.
Can you handle very messy datasets with missing values?
Yes! That is my specialty. I use advanced imputation techniques (mean, median, mode, or predictive filling) and outlier detection to ensure your data is consistent and ready for analysis.
What is "Feature Engineering" and why do I need it?
Feature Engineering is the process of creating new variables from your raw data to help Machine Learning models perform better. For example, turning a "Date" column into "Day of the Week" or "Is Holiday." It adds significant value to your predictive models.
What does "100 Items Cleaned" refer to in your packages?
In the Data Cleaning category, Fiverr sets a minimum of 100 items. I treat these "items" as data points or rows. My Basic package is designed to provide high-quality cleaning and EDA for standard datasets. If your file has several thousand rows, don't worry—I can handle it within the listed package
Will I get the source code?
Absolutely. I will deliver a well-documented Jupyter Notebook (.ipynb) or Python script so you can see exactly how the data was transformed and recreated in the future.
Is my data safe with you?
Yes, I take data privacy very seriously. Your data will only be used for the scope of the project and will be deleted from my system once the order is completed and accepted.
