I will lean, analyze, and visualize your data using python
About this Gig
Struggling with messy, disorganized data or need clear insights before making a decision? I clean, structure, and analyze data using Python turning raw numbers into insights you can actually use.
What I recently worked on:
A quantitative research project analyzing real-world financial data, including:
Investigated price data to identify trends and volatility patterns
Bucketed and analyzed risk scores to assess data-driven categories
Designed and priced models using quantitative analysis techniques
Produced clear, data-driven reports summarizing findings
What you'll get:
Clean, structured data duplicates removed, missing values handled, formats standardized
Exploratory data analysis with visualizations (charts, graphs, distributions)
A clear summary of key patterns, trends, and outliers in your data
Well-documented Python code (Pandas, NumPy) so you understand exactly what was done
Results in your preferred format (CSV, Excel, or a written report)
My process:
I start by understanding your dataset and what you want to learn from it, then clean and analyze the data, and deliver clear results with explanations not just a black-box output.
Technology:
Google Colab
Analysis type:
Quantitative analysis
•
Predictive analysis
Programming language:
Python
Tools:
Google Colab
FAQ
What file formats do you accept?
CSV, Excel (.xlsx), and JSON are all fine let me know if you have something else.
Will I get the cleaned dataset itself, not just charts?
Yes, you'll receive the cleaned/structured dataset file along with any analysis.
Can you handle large datasets?
Yes, though very large datasets (50,000+ rows) may need a custom quote message me first.
Do you provide the code used?
Yes, all packages include the Python code/notebook used for the analysis.

