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You will get Machine Learning and Data Analysis solution of structured data using python
Project details
You will get an optimized and tested machine learning model that solves and helps you understand your business problem.
Area of expertise:
Classification
Regression
Clustering
Customer Segmentation
Data Visualization
Data Augmentation
Containerizing
ML Pipelines
ML Operations
Note: please reach before purchasing
Area of expertise:
Classification
Regression
Clustering
Customer Segmentation
Data Visualization
Data Augmentation
Containerizing
ML Pipelines
ML Operations
Note: please reach before purchasing
What's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 2 | 2 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Data Cleaning
(+ 2 Days)
+$20
Containerized Model
(+ 2 Days)
+$40
Tabular Data Augmentation
(+ 1 Day)
+$20About Mohammad Nur
Data Scientist, ML Engineer, Data Science Trainer
Khalifah A City, United Arab Emirates - 7:30 am local time
Data Science Expertise:
From developing machine learning models to implementing deep learning strategies, I've adeptly addressed diverse challenges, including forecasting, algorithmic trading, and demand analysis.
Projects:
1. Fashion Articles Recommender System:
I crafted a sophisticated recommender system that leverages collaborative and content-based filtering. This involved implementing a Python and Streamlit web app for interactive demonstrations.
2. Predicting Stock Price Movements:
I applied machine learning to predict stock price movements, achieving a profit ratio 3% higher than the buy-and-hold strategy. This encompassed the integration of fundamental data, technical indicators, and trading signals.
3. Demand Analysis and Driver Allocation
Prepared and analyzed data to gain insights into the demand patterns of each restaurant
and understand the behavior of drivers within the network. Based on my analysis, the company was able to reduce the number of drivers by 15-30% for each time window. It also helped restaurants efficiently meet the anticipated demand.
4. Cryptocurrency Trading Bot:
I developed a crypto trading bot using FreqTrade and Python, incorporating a machine learning model for trading signals. The model was trained on a dataset combining both fundamental and technical data.
Education:
- B.sc in Electrical Engineering: Jordan University of Science and Technology (2013-2018)
Skills:
- Programming Languages: Python, C++, Java, SQL
- Web Technologies: JavaScript, CSS, HTML
- Machine Learning Frameworks: TensorFlow, Keras, Pandas, Sci-Kit Learn, PySpark
- Visualization Tools: PowerBI, Tableau
- Cloud Platforms: GCP, AWS; Containers: Docker, Kubernetes
- Specializations: MLOps, NLP, Time Series Analysis, Recommendation Engines, Algorithmic Trading
- Additional Expertise: Image processing, CNNs, Front-End Development (Selenium)
Let's collaborate:
Whether you're in search of a data-driven solution or aiming to deepen your understanding of data science, I'm prepared to contribute. Let's connect and explore the possibilities!
Steps for completing your project
After purchasing the project, send requirements so Mohammad Nur can start the project.
Delivery time starts when Mohammad Nur receives requirements from you.
Mohammad Nur works on your project following the steps below.
Revisions may occur after the delivery date.
Draft
Create first draft
Revision
I will review the model to proceed with tuning and testing