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$
USD
I will perform exploratory data analysis with visualization
I am a Data Analyst and ML Engineer with 1 years of experience
Your data is sitting there full of answers you're not getting to.
Messy spreadsheets, a model that broke, or numbers nobody's had time to analyze? I'm Ishrat, a Data Analyst & ML Engineer who turns r...
About this Gig
Are you sitting on raw, messy data and need clear, actionable insights?
I'll turn your dataset into a professional Exploratory Data Analysis (EDA) report that uncovers patterns, trends, and outliers so you can make confident, data-driven decisions.
I specialize in end-to-end data analysis using Python, from data cleaning and preprocessing to advanced data visualization and statistical summaries. Whether you're a startup founder, researcher, or business analyst, I'll help you understand exactly what your data is telling you.
What I offer:
- Data cleaning & preprocessing (handling missing values, duplicates, outliers
- Exploratory Data Analysis (EDA) with clear statistical breakdowns Data visualization using Python (Matplotlib, Seaborn).
- Correlation analysis, distribution checks, and trend identification.
- Interactive dashboards
- Insight summary report with business recommendations.
- Feature analysis to prep your dataset for machine learning
Programming language:
Python
Technology:
Jupyter Notebook
Analysis type:
Descriptive analysis
Tools:
Pandas
My Portfolio
FAQ
What is data analysis?
Data analysis is the process of analyzing your raw and messy data to get insightful results
What is data cleaning?
Data cleaning is the process of cleaning the raw data which includes handling missing values in the data set and removing the unwanted rows and columns in the data set,
What is EDA?
EDA stands for exploratory data analysis. It includes the cleaning, outlier removal and analysis of the data before using this data to train machine learning model
Why is Exploratory Data analysis of dataset is important before giving it to train Machine learning model?
Because when you do not perform EDA, the dataset will contain unnecessary data and the outliers which will make the model underfit or over fit which results to incorrect output generated by the model.
How you do EDA?
I will do EDA using the Python program where i will do all the process that are included to do EDA and I will add my personal experience to do better EDA
