You will get Advanced Predictive Model and Value Attribution Scripts in Python
Project details
I provide PhD-level data science and econometric modelling using a high-performance Python workflow. As a researcher with 16 peer-reviewed publications, I don’t just run code; I ensure your results are theoretically sound, statistically rigorous, and ready for professional or academic presentation.
Utilizing the Antigravity (AnGR) environment paired with AI-integrated logic, I specialize in transforming complex datasets into actionable insights. Whether you need greenhouse gas (GHG) forecasting, energy market analysis, or virtual-idol pricing attribution, I deliver publication-standard accuracy.
Core Specializations:
Predictive Modeling: Advanced SVR, XGBoost, and Deep Learning (LSTM/CNN) for 2026+ forecasting.
Econometric Rigor: Unit Root, Stationarity, and Co-integration pre-testing to prevent spurious results.
Impact Analysis: Multi-country sensitivity analysis and Shapley Value attribution for 3,000+ row datasets.
Reproducible Research: You receive optimized Python source code and professional visualizations (Matplotlib/Seaborn).
I bridge the gap between traditional economic theory and modern machine learning. Let’s build a model that stands up to the toughest scrutiny.
Utilizing the Antigravity (AnGR) environment paired with AI-integrated logic, I specialize in transforming complex datasets into actionable insights. Whether you need greenhouse gas (GHG) forecasting, energy market analysis, or virtual-idol pricing attribution, I deliver publication-standard accuracy.
Core Specializations:
Predictive Modeling: Advanced SVR, XGBoost, and Deep Learning (LSTM/CNN) for 2026+ forecasting.
Econometric Rigor: Unit Root, Stationarity, and Co-integration pre-testing to prevent spurious results.
Impact Analysis: Multi-country sensitivity analysis and Shapley Value attribution for 3,000+ row datasets.
Reproducible Research: You receive optimized Python source code and professional visualizations (Matplotlib/Seaborn).
I bridge the gap between traditional economic theory and modern machine learning. Let’s build a model that stands up to the toughest scrutiny.
Machine Learning Tools
ChatGPT, GitHub Copilot, Microsoft Excel, NumPy, pandas, Python, scikit-learn, SciPy, SPSS, XGBoostWhat's included
| Service Tiers |
Starter
$40
|
Standard
$90
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 2 days | 6 days | 12 days |
Number of Revisions | 2 | 2 | 1 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
Frequently asked questions
About Umer
Financial & Economic Data Analyst
Peshawar, Pakistan - 8:17 am local time
Core Technical Stack:
Python Data Science: Pandas, Statsmodels, Scikit-learn (LSTM, CNN, GBM).
Econometrics: ARDL, NARDL, VECM, and Multinomial Analysis.
Legacy Tools: Expert-level proficiency in SPSS, EViews, and STATA.
How I Add Value:
Advanced Modeling: Transforming raw datasets into sophisticated economic models (Time-Series, Panel Data).
Academic Excellence: Professional editing, rephrasing, and auditing of research papers to meet journal standards.
Strategic Insights: Moving beyond the numbers to provide policy implications and business forecasts.
Other Services:
• Rephrasing
• Editing
• Proof Readings
• Policy recommendations.
I am committed to regular communication and precise, reproducible results. Let’s discuss how I can bring academic-grade precision to your next project.
Steps for completing your project
After purchasing the project, send requirements so Umer can start the project.
Delivery time starts when Umer receives requirements from you.
Umer works on your project following the steps below.
Revisions may occur after the delivery date.
Data Cleaning & Stationarity Testing
I will screen your dataset for missing values and outliers. Using Python (AnGR), I will perform rigorous stationarity and unit root testing to ensure the data is suitable for machine learning.
Model Development & Architecture
Based on your goals, I architect the optimal model, ranging from Support Vector Regression (SVR) and XGBoost to Neural Networks (LSTM/CNN) ensuring the logic is robust and theoretically sound.