You will get Python automation for data cleaning and reporting
Project details
You will get a Python automation solution that cleans, structures, and prepares your data for reporting, analysis, or business decision-making.
If you are spending too much time manually cleaning Excel, CSV, Google Sheets, or business data files, I can help you automate the process using Python.
I can clean messy datasets, fix inconsistent formats, remove duplicates, handle missing values, standardize columns, merge files, create summary tables, generate reports, and build repeatable workflows that save time and reduce manual errors.
This project is ideal for businesses, analysts, marketers, researchers, agencies, and teams that work with recurring data files and want a faster, cleaner, and more reliable process.
Depending on your package, I can deliver a cleaned dataset, reusable Python script, automated report, Excel/CSV output, validation checks, and simple documentation.
My goal is not just to write code. I focus on building practical automation that saves time, improves accuracy, and makes your data ready for analysis, dashboards, or reporting.
If you are spending too much time manually cleaning Excel, CSV, Google Sheets, or business data files, I can help you automate the process using Python.
I can clean messy datasets, fix inconsistent formats, remove duplicates, handle missing values, standardize columns, merge files, create summary tables, generate reports, and build repeatable workflows that save time and reduce manual errors.
This project is ideal for businesses, analysts, marketers, researchers, agencies, and teams that work with recurring data files and want a faster, cleaner, and more reliable process.
Depending on your package, I can deliver a cleaned dataset, reusable Python script, automated report, Excel/CSV output, validation checks, and simple documentation.
My goal is not just to write code. I focus on building practical automation that saves time, improves accuracy, and makes your data ready for analysis, dashboards, or reporting.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$99
|
Standard
$249
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 0 | 0 | 0 |
Number of Sources Mined/Scraped | 0 | 0 | 0 |
Frequently asked questions
About Burhanuddin
Data Scientist | Marketing Mix Modeling, ROAS, MMM & Growth Analytics
Khambhat, India - 5:34 am local time
I help brands move from “we spent more” to “we know what worked.”
I am a Data Scientist and Marketing Analytics Specialist with 4+ years of experience in Marketing Mix Modeling, growth analytics, ROI/ROAS measurement, media contribution analysis, statistical modeling, dashboards, and automation.
My work helps marketing teams understand where revenue is coming from, which channels deserve more investment, where budget is being wasted, and what action should be taken next.
I have worked with NielsenIQ and supported analytics projects involving global brands such as Samsung, Ferrero, and P&G across the US, UK, Canada, Australia, Europe, and Asia. I am also supporting an international agency through the Google Meridian program, including client-data preparation, model design, causal structure, EDA, model health, and budget optimization planning.
I have also worked with international clients, including a South Korean business, to build AI-driven dashboards, marketing analytics systems, and automated reporting workflows.
WHAT I HELP BRANDS ANSWER
• Which channels are truly generating incremental sales?
• How much revenue is driven by Meta, Google, TikTok, YouTube, Search, Display, TV, Retail Media, email, promotions, and other activities?
• What is the actual ROI, ROAS, CPA, or marginal return of each channel?
• Which campaigns are saturated, and which still have room to scale?
• Where is marketing budget being wasted?
• How should the budget be reallocated to maximize sales, revenue, or profit?
• What happens if spend increases or decreases by channel?
• How do pricing, promotions, seasonality, distribution, and external factors affect performance?
MARKETING MIX MODELING / MMM
• Build end-to-end MMM models using Bayesian or traditional econometric methods
• Measure incremental contribution by marketing channel
• Estimate baseline sales versus marketing-driven sales
• Apply adstock, carryover, decay, lag, and saturation effects
• Build response curves and identify diminishing returns
• Estimate ROI, ROAS, marginal ROI, CPA, CPIK, and contribution
• Measure media, promotions, pricing, seasonality, and controls together
• Develop scenario-planning and budget-optimization tools
• Create executive-ready recommendations from model results
• Support Google Meridian model design, diagnostics, model health, and optimization workflows
GROWTH & MARKETING PERFORMANCE ANALYTICS
• Analyze performance across Meta Ads, Google Ads, YouTube, TikTok, Search, Display, TV, Retail Media, CRM, and promotions
• Connect media activity to sales, revenue, conversions, leads, or profit
• Identify high-performing and underperforming channels
• Diagnose budget inefficiency, saturation, and scaling opportunities
• Build KPI frameworks for marketing and growth teams
• Turn campaign data into practical recommendations
DASHBOARDS & EXECUTIVE REPORTING
I build automated, decision-focused dashboards in Power BI, Looker Studio, Excel, Google Sheets, Python, and Streamlit.
Dashboards can track spend, sales, revenue, leads, conversions, ROI, ROAS, channel contribution, campaign performance, actual versus target results, budget pacing, and growth trends.
DATA CLEANING, INTEGRATION & AUTOMATION
• Clean and structure messy media, sales, campaign, customer, and business data
• Combine multiple data sources into one reliable dataset
• Automate recurring reports and repetitive analytics tasks
• Build reusable Python, Excel, SQL, and dashboard workflows
• Validate data quality before modeling or reporting
• Reduce manual reporting time and improve consistency
TOOLS & TECHNICAL SKILLS
Python, Pandas, NumPy, Scikit-learn, Statsmodels, PyMC, Google Meridian, SQL, Excel, Google Sheets, Power BI, Looker Studio, Streamlit, Bayesian modeling, regression, time-series analysis, data visualization, automation, MMM, attribution, incrementality, forecasting, ROI/ROAS analysis, and budget optimization.
MY APPROACH
1.Understand the business question and decision to be made
2.Audit, clean, and structure the available data
3.Select the right model, analysis, or dashboard
4.Validate the output carefully
5.Translate findings into clear business actions
I do not simply deliver charts, code, or technical outputs. I focus on the question every marketing leader ultimately needs answered:
“What should we invest in next—and why?”
If you need help measuring marketing effectiveness, improving ROAS, understanding channel contribution, optimizing media spend, building an MMM, or creating an automated analytics dashboard, send me a message with your business goal and available data.
Steps for completing your project
After purchasing the project, send requirements so Burhanuddin can start the project.
Delivery time starts when Burhanuddin receives requirements from you.
Burhanuddin works on your project following the steps below.
Revisions may occur after the delivery date.
Review data and requirements
I will review your dataset, understand the problem, confirm the required output, and identify the best automation approach.
Clean and structure the data
I will clean, format, validate, and organize the data by handling duplicates, missing values, incorrect formats, and inconsistent fields.