You will get a clean Python data processing & automation script
Rising Talent
Project details
Messy data kills productivity. I build clean, documented
Python scripts that handle missing values, remove duplicates,
reformat columns, and output analysis-ready data — fast.
Ranked in the top 0.5% on Kaggle (200,000+ users), I bring
real competitive data science experience to every project.
You get clean code, clear documentation, and results you
can actually use — not just a notebook that works on my machine.
Every delivery includes the Python script, cleaned output
file, and a short summary of what was changed and why.
If something isn't right, I fix it. Simple as that.
Python scripts that handle missing values, remove duplicates,
reformat columns, and output analysis-ready data — fast.
Ranked in the top 0.5% on Kaggle (200,000+ users), I bring
real competitive data science experience to every project.
You get clean code, clear documentation, and results you
can actually use — not just a notebook that works on my machine.
Every delivery includes the Python script, cleaned output
file, and a short summary of what was changed and why.
If something isn't right, I fix it. Simple as that.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$90
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $25
Additional Revision
+$10Frequently asked questions
3 reviews
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CF
Colton F.
May 16, 2026
Looker Studio HR Analytics Dashboard — Multi-Table SQL Data Model + Workforce Intelligence Reporting
Honestly took us a while to find the right person for this. We'd tried two freelancers before who just connected the spreadsheet directly to Looker Studio without touching the underlying data — the numbers were wrong and they didn't know why.
This guy actually dug into the SQL layer first. He found the duplicate department entries that were inflating our salary totals — something our previous freelancers completely missed. He restructured the whole data model using CTEs before building anything visual, which is the right way to do it.
The dashboard itself is clean and our leadership team can actually read it without explanation. The geo map was a specific ask from our COO and it came out exactly right. Turnover rate as a percentage was also his suggestion — we were originally just tracking raw count which wasn't useful for benchmarking.
Only minor thing was the first version had the salary bar chart sorted alphabetically instead of by value — he fixed it immediately when we flagged it. Communication was smooth throughout, always responded within a few hours.
Will definitely come back for the sales reporting side next quarter
This guy actually dug into the SQL layer first. He found the duplicate department entries that were inflating our salary totals — something our previous freelancers completely missed. He restructured the whole data model using CTEs before building anything visual, which is the right way to do it.
The dashboard itself is clean and our leadership team can actually read it without explanation. The geo map was a specific ask from our COO and it came out exactly right. Turnover rate as a percentage was also his suggestion — we were originally just tracking raw count which wasn't useful for benchmarking.
Only minor thing was the first version had the salary bar chart sorted alphabetically instead of by value — he fixed it immediately when we flagged it. Communication was smooth throughout, always responded within a few hours.
Will definitely come back for the sales reporting side next quarter
SB
Sabeeha B.
Feb 20, 2026
Senior Applied AI Engineer (LLMs & Automation)
Imaad delivered high-quality AI and LLM solutions with excellent attention to scalability and reliability. Communication was clear, deadlines were met, and he proactively improved our automation workflows. Highly professional and easy to work with — would gladly hire again.
SM
Sidra M.
Feb 19, 2026
Python Developer Needed for Quick Task
Imaad delivered a clean and well-structured Python data processing script that worked perfectly on our dataset. The solution handled missing values, removed outliers, and generated a clear analytics report automatically. Communication was smooth and delivery was fast. Highly recommended for any data processing or automation tasks.
About Imaad
Data Analytics & AI Engineer | Looker Studio | Predictive Modeling
100%
Job Success
Bahawalpur, Pakistan - 4:22 am local time
The spreadsheet is a mess. The dashboard looks good but answers nothing. The freelancer you hired last time delivered charts, not decisions.
⚠️ The Problem I Solve
- Raw data that hasn't been cleaned or structured before analysis
- ML models built for demo accuracy — not real-world performance
- Dashboards that visualize data but don't answer business questions
- Python scripts that break the moment the data changes
⚙️ How I Work
- Clean and structure the data before touching any model or visualization
- Validate models properly — cross-validation, feature engineering, honest metrics
- Deliver documented, explainable outputs — not black boxes
- Communicate throughout — no surprises at delivery
📊 What Gets Delivered
- Python data pipelines — cleaning, transformation, automation
- Predictive ML models — classification, regression, forecasting
- Time series forecasting — Prophet, ARIMA, XGBoost
- Analytics dashboards — Looker Studio, Plotly, Matplotlib
- RAG pipelines — LangChain, ChromaDB
⭐ Why Trust This
- 3 completed jobs · All 5.0 reviews · 100% Job Success Score
- Kaggle Notebooks Master · Rank #77 globally out of 62,000+
- 2 Silver Medals in international ML competitions
🛠️ Stack
Python · Pandas · XGBoost · LightGBM · Prophet · LangChain · ChromaDB · SQL · Looker Studio · Plotly · Streamlit
Steps for completing your project
After purchasing the project, send requirements so Imaad can start the project.
Delivery time starts when Imaad receives requirements from you.
Imaad works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze your dataset and confirm scope within 12 hours
Build and test the Python script on your data