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
I’m a data analyst and storyteller with a background in tech, marketing, and AI research. I work at the intersection of numbers and narrative—helping startups, creators, and small teams make smarter decisions through clean, visual, and insightful data work.
Most of the time, I work solo to maintain focus and quality. But if the dataset is large or time is tight, I have a small, reliable team I bring in to assist with cleaning or visualization tasks—without compromising on quality or consistency.
I use:
- Python for cleaning and analysis
- SQL for database queries
- Excel/Google Sheets for structure and quick analysis
- Tableau for dashboards and visualizations
- Notion or PDF for storytelling-style reports
You’ll receive:
- Cleaned & structured dataset
- EDA findings + charts
- Interactive Tableau dashboard
- Insight Report (PDF/Notion)
- Data narrative & recommendations
- Final folder with all assets neatly packaged
Absolutely. My goal is to make data useful—not confusing. I write reports and summaries in clear, simple language and can even do a short Loom video or live call to walk you through everything if needed.
All data shared with me is handled with strict confidentiality. I never use or share your data publicly. If needed, I'm open to signing an NDA.
That’s totally okay. Many clients come with messy or unclear goals. I’ll review the data, ask a few questions, and guide you toward what’s possible. You don’t need to be a data expert to work with me—that’s my job.
Yes—every project includes 1 free round of revisions to adjust based on your feedback. Beyond that, we can scope extra edits if needed.
It depends on the dataset size and project scope.
- Small projects: 3–5 days
- Medium (dashboard + report): 5–7 days
- Larger or multi-source: 10–14 days
I’ll always set clear expectations upfront.
Yes! For premium packages, I include a 30-minute strategy or handoff call.
If the timeline is tight, let me know early. I’ll assess whether I can take it on solo, or loop in my team to meet your deadline.
Startups, creators, indie founders, early teams, researchers, and marketers. Anyone who wants to make better decisions with their data—even if they don’t speak “data.”
I don’t currently work on:
- Real-time streaming data
- Advanced ML model training
- Financial auditing or tax-related work
If I’m not the right fit, I’ll let you know quickly and point you to someone who is.
All payments are done via Contra. I don’t offer refunds once the work has started, but I do include revisions and always work closely with you to ensure satisfaction.
Contact for pricing
Tags
Microsoft Excel
Python
SQL
Tableau
Data Analyst
Data Modelling Analyst
Data Scientist
Service provided by
Mohd Faraz New 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
I’m a data analyst and storyteller with a background in tech, marketing, and AI research. I work at the intersection of numbers and narrative—helping startups, creators, and small teams make smarter decisions through clean, visual, and insightful data work.
Most of the time, I work solo to maintain focus and quality. But if the dataset is large or time is tight, I have a small, reliable team I bring in to assist with cleaning or visualization tasks—without compromising on quality or consistency.
I use:
- Python for cleaning and analysis
- SQL for database queries
- Excel/Google Sheets for structure and quick analysis
- Tableau for dashboards and visualizations
- Notion or PDF for storytelling-style reports
You’ll receive:
- Cleaned & structured dataset
- EDA findings + charts
- Interactive Tableau dashboard
- Insight Report (PDF/Notion)
- Data narrative & recommendations
- Final folder with all assets neatly packaged
Absolutely. My goal is to make data useful—not confusing. I write reports and summaries in clear, simple language and can even do a short Loom video or live call to walk you through everything if needed.
All data shared with me is handled with strict confidentiality. I never use or share your data publicly. If needed, I'm open to signing an NDA.
That’s totally okay. Many clients come with messy or unclear goals. I’ll review the data, ask a few questions, and guide you toward what’s possible. You don’t need to be a data expert to work with me—that’s my job.
Yes—every project includes 1 free round of revisions to adjust based on your feedback. Beyond that, we can scope extra edits if needed.
It depends on the dataset size and project scope.
- Small projects: 3–5 days
- Medium (dashboard + report): 5–7 days
- Larger or multi-source: 10–14 days
I’ll always set clear expectations upfront.
Yes! For premium packages, I include a 30-minute strategy or handoff call.
If the timeline is tight, let me know early. I’ll assess whether I can take it on solo, or loop in my team to meet your deadline.
Startups, creators, indie founders, early teams, researchers, and marketers. Anyone who wants to make better decisions with their data—even if they don’t speak “data.”
I don’t currently work on:
- Real-time streaming data
- Advanced ML model training
- Financial auditing or tax-related work
If I’m not the right fit, I’ll let you know quickly and point you to someone who is.
All payments are done via Contra. I don’t offer refunds once the work has started, but I do include revisions and always work closely with you to ensure satisfaction.
Contact for pricing