You will get Geospatial Data Analysis & Machine Learning Solutions
Project details
Leveraging years of experience in geospatial analysis, machine learning, and full‑stack development, I provide end‑to‑end solutions for extracting insights from spatial data. I'll help you analyze geospatial datasets, build predictive models, and create interactive dashboards that empower data‑driven decision making. Each project is tailored to your goals with clear communication and high‑quality results.
Machine Learning Tools
ArcGIS, Azure Machine Learning, NumPy, pandas, Python, PyTorch, scikit-learnWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Afnan Mehmood
Full-Stack Data Scientist | Python ML + React/Next.js
Sargodha, Pakistan - 10:52 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 preparation & exploratory analysis
Gather and clean geospatial and tabular data, perform exploratory data analysis to identify patterns and inform model development.
Model development & evaluation
Develop and train predictive models using appropriate machine learning and geospatial techniques; evaluate models and iterate for optimal performance.