Data Analysis + Insights Report (with Visuals)Mohd Faraz
I turn messy datasets into clear, actionable stories. Using Python, SQL, Excel, and Tableau, I’ll clean your data, analyze it, and deliver a visual dashboard plus an insight-rich report—complete with recommendations and data-driven storytelling. You’re not just getting charts; you’re getting clarity.
What's included
1. Raw Data Audit & Cleaning
- I’ll assess the quality, structure, and issues in your dataset.
- Missing values, duplicates, and inconsistencies will be handled using Python, Excel, or SQL.
- You’ll receive a clean, structured dataset—ready for analysis.
Data Transformation & Calculations
- Feature engineering, calculated columns (e.g., churn rate, user LTV, etc.)
- Logical structuring and manipulation using Excel formulas, Python scripts, or SQL queries
- Includes an explanation of all calculations
3. Exploratory Data Analysis (EDA)
- Visual and statistical exploration of patterns, outliers, and trends
- Summary statistics, distributions, correlations, group-wise analysis
- Delivered via Jupyter notebook, Excel, or Notion page
4. Interactive Dashboard (Tableau or Sheets)
- A beautiful, filterable dashboard visualizing key insights
- Built in Tableau or Google Sheets, based on your preference
- Includes user-friendly layout and KPI summaries
5. Insightful Findings + Key Questions
- A detailed list of questions explored and insights found
- Example: “What user segment has the highest churn rate?” or “When does engagement spike?”
6. Data Narrative + Storytelling Report
- Clear, non-technical summary that walks the reader through:
1. What we looked at
2. What we found
3. Why it matters
- Great for decision-makers and presentations
7. Summary Slide Deck or PDF Report
- Final report (Notion or PDF) with visuals, charts, and takeaways
- Includes 3–5 core insights, charts, and recommendations
8. Actionable Suggestions & Business Recommendations
- Based on data, I’ll give 3–5 clear action steps
- Example: “Segment users by X metric and offer Y campaign to reduce churn”
9. Optional Consultation Call (Premium Tier)
A 30-min strategy or handoff call to discuss insights, explain the dashboard, and guide next steps
10. Final Deliverable Package
- Drive folder or Notion doc with:
1. Clean dataset
2. Charts
3. Dashboard link
4. Insight report
5. Summary deck
FAQs
Contact for pricing
Tags
Microsoft Excel
Python
SQL
Tableau
Data Analyst
Data Modelling Analyst
Data Scientist
Service provided by
Mohd Faraz Delhi, India
Data Analysis + Insights Report (with Visuals)Mohd Faraz
Contact for pricing
Tags
Microsoft Excel
Python
SQL
Tableau
Data Analyst
Data Modelling Analyst
Data Scientist
I turn messy datasets into clear, actionable stories. Using Python, SQL, Excel, and Tableau, I’ll clean your data, analyze it, and deliver a visual dashboard plus an insight-rich report—complete with recommendations and data-driven storytelling. You’re not just getting charts; you’re getting clarity.
What's included
1. Raw Data Audit & Cleaning
- I’ll assess the quality, structure, and issues in your dataset.
- Missing values, duplicates, and inconsistencies will be handled using Python, Excel, or SQL.
- You’ll receive a clean, structured dataset—ready for analysis.
Data Transformation & Calculations
- Feature engineering, calculated columns (e.g., churn rate, user LTV, etc.)
- Logical structuring and manipulation using Excel formulas, Python scripts, or SQL queries
- Includes an explanation of all calculations
3. Exploratory Data Analysis (EDA)
- Visual and statistical exploration of patterns, outliers, and trends
- Summary statistics, distributions, correlations, group-wise analysis
- Delivered via Jupyter notebook, Excel, or Notion page
4. Interactive Dashboard (Tableau or Sheets)
- A beautiful, filterable dashboard visualizing key insights
- Built in Tableau or Google Sheets, based on your preference
- Includes user-friendly layout and KPI summaries
5. Insightful Findings + Key Questions
- A detailed list of questions explored and insights found
- Example: “What user segment has the highest churn rate?” or “When does engagement spike?”
6. Data Narrative + Storytelling Report
- Clear, non-technical summary that walks the reader through:
1. What we looked at
2. What we found
3. Why it matters
- Great for decision-makers and presentations
7. Summary Slide Deck or PDF Report
- Final report (Notion or PDF) with visuals, charts, and takeaways
- Includes 3–5 core insights, charts, and recommendations
8. Actionable Suggestions & Business Recommendations
- Based on data, I’ll give 3–5 clear action steps
- Example: “Segment users by X metric and offer Y campaign to reduce churn”
9. Optional Consultation Call (Premium Tier)
A 30-min strategy or handoff call to discuss insights, explain the dashboard, and guide next steps
10. Final Deliverable Package
- Drive folder or Notion doc with:
1. Clean dataset
2. Charts
3. Dashboard link
4. Insight report
5. Summary deck
FAQs
Contact for pricing