You will get Predictive Modeling & Interactive Dashboarding | Python, SQL & ML

Amr A.Status: Offline
Amr A.

Let a pro handle the details

Buy Machine Learning services from Amr, priced and ready to go.
Amr A.Status: Offline
Amr A.

Let a pro handle the details

Buy Machine Learning services from Amr, priced and ready to go.

Project details

What sets this project apart is the bridge between technical rigor and actionable storytelling. Beyond just writing code, I deliver a complete analytical ecosystem.
By combining my background in complex systems with the latest Data Science methodologies from IBM, I don’t just provide a model; I provide a tool for decision-making. Whether it’s extracting data from APIs, uncovering hidden correlations through SQL, or building interactive dashboards, my focus is on making complex data intuitive and strategically valuable.
I don't just find the "what"—I explain the "why" and show you the "how" through high-impact visuals.
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, TensorFlow, XGBoost
What's included
Service Tiers Starter
$35
Standard
$50
Advanced
$75
Delivery Time 4 days 6 days 7 days
Number of Revisions
233
Number of Model Variations
223
Number of Scenarios
135
Number of Graphs/Charts
568
Model Validation/Testing
-
Model Documentation
-
Data Source Connectivity
Source Code
Amr A.Status: Offline

About Amr

Amr A.Status: Offline
Junior Data Scientist
Talkha, Egypt - 4:27 pm local time
Data Scientist with a background in Biomedical Engineering, specializing in Medical AI. I leverage Python, SQL, and Machine Learning to transform complex healthcare datasets into actionable insights. Expert in building end-to-end data pipelines, from API integration and cleaning to predictive modeling and interactive visualization.

Steps for completing your project

After purchasing the project, send requirements so Amr can start the project.

Delivery time starts when Amr receives requirements from you.

Amr works on your project following the steps below.

Revisions may occur after the delivery date.

Data Audit & Environment Setup

Verifying data sources (APIs/SQL) and ensuring all libraries are configured for a smooth workflow.

Data Cleaning & Preprocessing

Using SQL and Pandas to handle missing values and prepare the data for high-accuracy analysis.

Review the work, release payment, and leave feedback to Amr.