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I will do advanced data analysis and visualization using python, pandas and sql
Pakistan
Data Analyst
About this Gig
Advanced Data Analysis & Visualization with Python
Raw data is just noise until you turn it into a story. I am a professional data analyst with a BS in information technology and a deep focus on Python-based data science. I specialize in uncovering hidden patterns in complex datasets, such as my previous work analyzing 630+ survey respondents and global layoff trends.
What I Offer:
- Data Cleaning & Preprocessing: Removing duplicates and handling missing values and outliers using Pandas and NumPy.
- Exploratory Data Analysis (EDA): Identifying key drivers, correlations, and trends.
- Professional Visualization: Stunning static charts (Matplotlib/Seaborn) and interactive web-ready plots (Plotly).
- Statistical Modeling: Distribution analysis, hypothesis testing, and correlation matrices.
- Survey & Business Insights: Turning complex survey data into actionable executive summaries.
Tech Stack:
- Languages: Python, SQL (PostgreSQL/MySQL).
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, and Plotly.
- Tools: Jupyter Notebook, Excel, and Power BI.
Why Choose Me?
With a background in database management, I ensure data integrity and technical precision in every script. I dont just prove
FAQ
1. In what format will I receive the final analysis?
You will receive a fully documented Jupyter Notebook (.ipynb) containing all the Python code and clear explanations for every step. Additionally, I provide the cleaned dataset in CSV or Excel format and a professional PDF report summarizing the key insights for Premium orders.
2. Can you handle large, unorganized, or "messy" datasets?
Yes, I specialize in data cleaning and preprocessing using Pandas and NumPy. I have extensive experience handling datasets with hundreds of respondents and complex variables, such as my analysis of 630+ survey results and global layoff trends.
3. Do I need to provide the dataset, or can you gather the data for me?
Usually, the buyer provides the dataset (CSV, Excel, SQL database, etc.). However, if you need data structured from a PostgreSQL or MySQL database, I can assist with the extraction using my SQL expertise. Please message me first if your project requires data gathering or web scraping.
4. What libraries do you use for the visualizations?
I use Matplotlib and Seaborn for professional, publication-quality static charts and heatmaps. For interactive and animated visuals, I use Plotly, which allows you to zoom into data points and interact with the charts directly in a web browser.

