You will get Time Series Analysis and Forecasting
Project details
I am an experienced Data scientist with Phd in the area along with professional experience. I have developed several models in ML and deep learning that gives me hand on experience to work comfortably with different projects. The diverse knowledge makes me able to work efficiently.
This project can provide useful insights for your data along with complete documentation and source code on demand. You will understand your data more logically by employing this project and can predict the future of your product.
This project can provide useful insights for your data along with complete documentation and source code on demand. You will understand your data more logically by employing this project and can predict the future of your product.
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$20
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 11 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 5 | 10 | 15 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Source Code
+$50About Waqar
Machine Learning Engineer | Python, GNNs, Data Science & XAI
Sao Paulo, Brazil - 11:44 pm local time
I hold a Ph.D. in Computer Science (Data Science) from the University of São Paulo and currently work as a Postdoctoral Researcher specializing in machine learning, graph neural networks, spatio-temporal modeling, explainable AI, and visual analytics.
I can help you with:
• Python data analysis and preprocessing
• Machine-learning model development and evaluation
• Graph Neural Networks using PyTorch and PyTorch Geometric
• Graph construction and representation learning
• Time-series and spatio-temporal prediction
• Explainable AI and model interpretation
• Dimensionality reduction and interactive visualization
• Research-paper implementation and experiment reproduction
• Large-scale ETL and data-processing pipelines
• Technical reports, documentation, and scientific writing
My previous work includes developing spatio-temporal GNN models for urban prediction, integrating heterogeneous datasets into graph representations, building explainable-AI and visual-analytics tools, and creating distributed ETL pipelines processing more than 100 million records per day.
I have published research at international venues including IEEE ICDM, IJCAI, IEEE DSAA, BRACIS, and SIBGRAPI, and received the IEEE DSAA 2020 Best Paper Award.
Technologies: Python, PyTorch, PyTorch Geometric, TensorFlow, Scikit-learn, Pandas, NumPy, SQL, Apache Spark, HPCC Systems, MLflow, Plotly, Matplotlib, Tableau, and Git.
You can expect clear communication, carefully documented code, reproducible results, and an honest assessment of what is achievable with your data.
Steps for completing your project
After purchasing the project, send requirements so Waqar can start the project.
Delivery time starts when Waqar receives requirements from you.
Waqar works on your project following the steps below.
Revisions may occur after the delivery date.
Data preprocessing and cleaning
Data preprocessing and cleaning is the first step for the analysis. So, according to the client's requirements, data cleaning and preprocessing will be applied.
Descriptive analysis
For understanding the data, a detailed descriptive analysis will be done. Clients can tell their requirements if they are not satisfied or required more features in the analysis.