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


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.
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, XGBoostWhat's included
| Service Tiers |
Starter
$35
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 7 days |
Number of Revisions | 2 | 3 | 3 |
Number of Model Variations | 2 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 5 | 6 | 8 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
About Amr
Junior Data Scientist
Talkha, Egypt - 4:27 pm local time
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.

