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Fiverr Pro
English
$
USD
I will emphasize the use of python for detailed data analysis
About this Gig
Stop guessing and start growing with data-driven marketing insights.
I am a Marketing Data Analyst specializing in turning messy raw data into clear, actionable strategies. Using the precision of Python and the accessibility of Advanced Excel, I help businesses identify their most profitable segments, optimize their ad spend, and predict future trends.
What I Can Do For You:
- Exploratory Data Analysis (EDA): Deep dives into your customer behavior and campaign performance.
- Customer Segmentation (RFM): Identify your "Whale" customers vs. those at risk of churning.
- Ad Spend Optimization: Analyze ROI/ROAS to see exactly where your budget is being wasted.
- Multi-Channel Attribution: Understand which touchpoints actually lead to a sale.
- Predictive Modeling: Use Python to forecast sales or customer lifetime value (CLV).
- Interactive Dashboards: Professional Excel or Looker Studio reports that make sense at a glance.
My Technical Stack:
- Python: Pandas, NumPy, Matplotlib, Seaborn (for deep statistical analysis).
- Excel: Power Query, Pivot Tables, Advanced Formulas, and Macros.
My Portfolio
FAQ
What data formats do I need to provide for the analysis?
I can work with almost any structured data format. Most clients provide CSV, XLSX (Excel), or Google Sheets exports from platforms like Meta Ads, Google Analytics 4, Shopify, or HubSpot. If you have a custom database or API, please message me first so we can discuss the connection.
Why do you use Python instead of just staying in Excel?
While Excel is great for quick summaries, Python (Pandas/Scikit-learn) allows me to handle much larger datasets without crashing and perform advanced statistical modeling. It's better for identifying complex correlations, customer segmentation (clustering), and predictive forecasting.
Will my business data remain confidential?
Absolutely. As a professional analyst, I treat your data with the highest level of security. Once the project is completed and approved, I can delete your datasets from my local environment upon request. I am also open to signing a Non-Disclosure Agreement (NDA) for long-term projects.
Do I get the Python code (Jupyter Notebook) or just the final report?
For the Standard and Premium packages, I provide the full source code (well-documented .ipynb or .py files) along with the final report. This allows your technical team to see my methodology or reuse the script for future data updates.
