You will get cleaned dataset + EDA report with charts + 3-5 actionable insights
Project details
I'm a data scientist specializing in machine learning and predictive analytics using Python and scikit-learn. What sets me apart is that I don't just hand you a model. I deliver clear, business-ready insights. In my churn prediction project, I tuned a Random Forest model to catch 90.2% of at-risk customers (recall), helping businesses act before losing them. I handle the full pipeline: data cleaning, EDA, feature engineering, model building, hyperparameter tuning with GridSearchCV, and a final report you can actually use, no confusing jargon, just clear answers to your business questions. I communicate clearly, deliver on time, and I'm happy to explain any part of the analysis in plain language.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$45
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$35 - $80Frequently asked questions
About Hadia
Data Scientist/ Data Analyst
Karachi, Pakistan - 2:15 am local time
I'm skilled in Python, SQL, and scikit-learn, helping clients turn raw data into actionable insights and reliable predictive models.
What I bring:
End-to-end ML pipelines: data cleaning, feature engineering, EDA, model building & tuning
Strong foundation in statistics, hypothesis testing, and machine learning (regression & classification)
Clear communication, I translate technical results into business insights
Recent project highlights:
Built a churn prediction pipeline that boosted recall from 46% to 87.8% via GridSearchCV tuning
Developed a heart disease prediction model, achieving 84.4% accuracy with feature importance analysis
Ran statistical analyses (t-tests, correlation), uncovering key performance drivers for real datasets
Built regression models with proper outlier handling and residual diagnostics
Tools & tech: Python · SQL (MySQL) · Pandas · NumPy · Scikit-learn · Matplotlib/Seaborn · Git/GitHub · Jupyter
Final-year Computer Engineering student, committed to delivering accurate, well-documented work on time.
Fast turnaround with clear documentation, you'll always know what I did and why.
Let's discuss how I can help with your data project.
Steps for completing your project
After purchasing the project, send requirements so Hadia can start the project.
Delivery time starts when Hadia receives requirements from you.
Hadia works on your project following the steps below.
Revisions may occur after the delivery date.
Review Data:
Review your data and requirements, confirm the target outcome and goals
Clean the data:
Clean the dataset and handle missing values/inconsistencies