You will get a custom machine learning model trained and evaluated on your dataset
Project details
Have a dataset and want to know what machine learning can do with it? I'll build you a working, honestly-evaluated model prototype — not inflated accuracy claims.
I've built deep learning models hands-on, including a medical imaging classifier (pneumonia detection from chest X-rays) trained on ~10,000 images with two CNN architectures — and stress-tested them under image noise, because real-world data is never clean. By day, I'm a data analyst at one of Pakistan's largest media agencies.
What you get:
• Honest feasibility check BEFORE work starts — if your data can't support good results, I'll tell you
• Proper methodology: clean splits, no data leakage, evaluation on unseen test data
• A documented notebook you own and can run or extend
• Results explained in plain language, not just metrics
Prototypes train on cloud GPU resources — comfortable for image or tabular datasets up to ~50k samples with transfer learning. Bigger jobs can be scoped with compute billed at cost; message me first.
This service is for business, research, and personal projects — not graded academic coursework.
I've built deep learning models hands-on, including a medical imaging classifier (pneumonia detection from chest X-rays) trained on ~10,000 images with two CNN architectures — and stress-tested them under image noise, because real-world data is never clean. By day, I'm a data analyst at one of Pakistan's largest media agencies.
What you get:
• Honest feasibility check BEFORE work starts — if your data can't support good results, I'll tell you
• Proper methodology: clean splits, no data leakage, evaluation on unseen test data
• A documented notebook you own and can run or extend
• Results explained in plain language, not just metrics
Prototypes train on cloud GPU resources — comfortable for image or tabular datasets up to ~50k samples with transfer learning. Bigger jobs can be scoped with compute billed at cost; message me first.
This service is for business, research, and personal projects — not graded academic coursework.
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$40
|
Standard
$90
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 1 | 3 |
Number of Graphs/Charts | 2 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$15
Additional Model Variation
+$30
Model Documentation
+$15
Extended PDF report with plain-language findings
(+ 1 Day)
+$20Frequently asked questions
About Rabbia
Data Analyst & AI Developer | Excel, Python | Machine Learning & LLMs
Karachi, Pakistan - 2:19 am local time
By day, I'm a Data Analyst at Brainchild Communications Pakistan, a Publicis Groupe (Starcom) affiliate and one of Pakistan's largest media agencies. I recently completed a broadcast advertising performance study across four TV channels and a macroeconomic analysis correlating GDP, CPI, and inflation with ad spend across four countries.
I'm also a BS Artificial Intelligence student at SZABIST, with hands-on builds: a CNN model for pneumonia detection from chest X-rays, a custom GPT for medical Q&A, and LLM-powered apps.
What I deliver:
✔ Excel reports, PivotTables & dashboards
✔ Data cleaning & preprocessing
✔ Trend & correlation analysis with plain-language insights
✔ Python (pandas) data processing
✔ ML models & custom GPT applications
Send me your dataset or project idea — I'll reply with exactly how I'd approach it, free, no obligation.
Steps for completing your project
After purchasing the project, send requirements so Rabbia can start the project.
Delivery time starts when Rabbia receives requirements from you.
Rabbia works on your project following the steps below.
Revisions may occur after the delivery date.
Assess data & confirm feasibility
I review your dataset's size, quality, and balance, and tell you honestly what accuracy is realistic before work starts — including whether ML is even the right tool for your problem.
Prepare the data
Cleaning, deduplication, class balancing, augmentation where useful, and a proper train/validation/test split so results are trustworthy.