You will get Custom Machine Learning Model for Your Business Problem
Project details
Need a specific machine learning solution? I will explore your data, engineer meaningful features, select the best algorithm (classification, regression, clustering, or NLP), train and tune the model, evaluate its performance, and deliver a ready-to-use model along with a Jupyter notebook and documentation so you can implement it confidently.
Machine Learning Tools
Mapr, NumPy, pandas, Python Scikit-Learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$350
|
Standard
$700
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 5 | 10 | 15 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
About Afnan Mehmood
Full-Stack Data Scientist | Python ML + React/Next.js
Sargodha, Pakistan - 1:35 pm local time
What I deliver:
→ Interactive dashboards with live ML predictions (Tableau, Power BI, custom React apps)
→ Predictive analytics systems (churn prediction, demand forecasting, fraud detection)
→ End-to-end ML applications from data exploration to production deployment
→ Real-time analytics tools with clean UI/UX
Tech Stack:
- ML/Data Science: Python, TensorFlow, Scikit-learn, XGBoost, Pandas, NumPy
- Web Development: React, Next.js, Flask, Django
- Visualization: Tableau, Power BI, Matplotlib, Seaborn
- Databases: PostgreSQL, MySQL, SQL
- Big Data: Hadoop, Apache Spark
I eliminate the gap between data science and deployment. One person, full solution.
Available for: Custom dashboards, ML integration, predictive modeling, data visualization apps.
Steps for completing your project
After purchasing the project, send requirements so Afnan Mehmood can start the project.
Delivery time starts when Afnan Mehmood receives requirements from you.
Afnan Mehmood works on your project following the steps below.
Revisions may occur after the delivery date.
Data exploration & feature engineering
I analyze your dataset, clean and transform the data, and engineer meaningful features to improve model performance.
Model training & tuning
I build and train the selected model, tune hyperparameters, validate performance, and deliver the final trained model with evaluation metrics.