I will clean, analyze, and visualize your data using python
Financial and Operational Data Analyst
About this Gig
Do you have raw data sitting in spreadsheets or files, but no clear picture of what it's telling you? I'll clean it, analyze it, and turn it into insights you can actually act on by using Python.
What I can do for you:
· Clean and prepare messy or incomplete datasets
· Run exploratory data analysis (EDA) to surface trends and patterns
· Build regression/classification models if you need predictions, not just analysis
· Visualize findings clearly using Python (Matplotlib, Seaborn) or hand off to Power BI/Tableau
What's included:
· Data cleaning & preprocessing (handling missing values, duplicates, formatting issues)
· Exploratory analysis with clear visual summaries
· A written summary of key findings and business insights
· Clean, documented Python code/notebook if you want to reuse it
Send me your dataset and tell me what questions you want answered, I'll turn your raw data into a clear, actionable story.
Let's talk about your data.
My Portfolio
FAQ
What do I need to provide before you start?
Please share your dataset (CSV or Excel) along with a short description of the problem or insights you want to extract. If you have specific requirements (e.g., visualization type, statistical test), let me know
Which tools and libraries do you use for data analysis?
Mostly I will use Python libraries (Pandas, NumPy, Matplotlib, and Seaborn). For dashboards, I can also use Power BI, Tableau, or Excel depending on your needs.
Do you provide the code, or just the results?
Both, I'll deliver a clean, commented Python notebook along with a summary of findings.
How large a dataset can you handle?
I can handle datasets of any size, whether it’s thousands of rows or millions of records. Scale doesn’t limit me, I focus on structuring, cleaning, and analyzing data efficiently to deliver clear, actionable insights

