You will get data science, analysis, and ML, DL with jupyter notebook in Python
Project details
Hello,
🔥 I am Muhammad Murtaza, a full-stack data scientist.
I possess extensive expertise in diverse technology stacks within the realms of data science, AI, ML, and application development. My proficiency spans across various tools, allowing me to navigate the intricacies of the data science process adeptly. I excel in tackling intricate data challenges, crafting and deploying models, and contributing to informed decision-making by deriving valuable insights from data.
☑️My Skillset includes:
✔ Data Analysis (Pandas and NumPy)
✔ Data Cleaning/ preprocessing
✔ Data Visualization (Matplotlib and Seaborn)
✔ Classification (sci-kit learn, PyTorch etc.)
✔ Regression
✔ Clustering
✔ Prediction Problems
✔ Data Augmentation
✔ Machine Learning
✔ Prompt Engineering
✔ Natural Language Processing
✔ Generative Adversarial Networks
✔ IBM SPSS
☑️ Tools/Frameworks:
➤ Python
➤ Jupyter Notebook
➤Google Colab
➤ SPSS
☑️Why prefer me?
I. Professional and Skilled Data Scientist
II. I just take projects that I can complete successfully on time and on exact budget
III. Fast turnaround time
IV. Available 24/7 to help my clients
V. Well Communication Skills
☑️Looking forward to working with you
🔥 I am Muhammad Murtaza, a full-stack data scientist.
I possess extensive expertise in diverse technology stacks within the realms of data science, AI, ML, and application development. My proficiency spans across various tools, allowing me to navigate the intricacies of the data science process adeptly. I excel in tackling intricate data challenges, crafting and deploying models, and contributing to informed decision-making by deriving valuable insights from data.
☑️My Skillset includes:
✔ Data Analysis (Pandas and NumPy)
✔ Data Cleaning/ preprocessing
✔ Data Visualization (Matplotlib and Seaborn)
✔ Classification (sci-kit learn, PyTorch etc.)
✔ Regression
✔ Clustering
✔ Prediction Problems
✔ Data Augmentation
✔ Machine Learning
✔ Prompt Engineering
✔ Natural Language Processing
✔ Generative Adversarial Networks
✔ IBM SPSS
☑️ Tools/Frameworks:
➤ Python
➤ Jupyter Notebook
➤Google Colab
➤ SPSS
☑️Why prefer me?
I. Professional and Skilled Data Scientist
II. I just take projects that I can complete successfully on time and on exact budget
III. Fast turnaround time
IV. Available 24/7 to help my clients
V. Well Communication Skills
☑️Looking forward to working with you
Machine Learning Tools
BERT, ChatGPT, Keras, Microsoft Power BI, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SPSS, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$250
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 7 days |
Number of Revisions | 0 | 0 | 1 |
Number of Model Variations | 0 | 0 | 1 |
Number of Graphs/Charts | 1 | 2 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $180About Muhammad
AI & ML Engineer | Production-Ready ML Systems | Deep Learning
Lahore, Pakistan - 3:04 am local time
As an experienced AI / Machine Learning Engineer, I specialize in building end-to-end intelligent systems; from data engineering and model development to deployment, monitoring, and optimization. I work with startups and enterprises to design scalable, explainable, and reliable AI solutions, not just experiments or research prototypes.
🧠 Core Expertise
🤖 Machine Learning & AI Development
• Custom ML / Deep Learning model development and optimization
• Predictive analytics and demand forecasting systems
• Risk modeling and intelligent optimization algorithms
• Production-grade AI system architecture and ML pipelines
📊 Data Engineering & Science
• Advanced feature engineering and data preprocessing
• Statistical analysis and exploratory data analysis (EDA)
• Time-series forecasting and anomaly detection
• A/B testing frameworks and experimentation design
🚀 Deployment, MLOps & Infrastructure
• AI-powered REST APIs and microservices
• Model deployment using Docker and Kubernetes
• Cloud infrastructure: AWS, GCP, Azure
• MLOps: monitoring, logging, explainability, and lifecycle management
• Inference optimization and performance tuning
🛠️ Technology Stack
Languages & Frameworks
Python, SQL, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, TensorFlow, Keras
Data & Storage
PostgreSQL, MySQL, Redis, Feature Stores, Data Warehousing
APIs & Services
FastAPI, Flask, RESTful APIs
DevOps & Cloud
Docker, Kubernetes, CI/CD pipelines, AWS, GCP, Azure, Model Versioning
ML Tooling
Jupyter, MLflow, Weights & Biases, Hyperparameter Tuning, AutoML
✅ My Approach
• ✅ Problem-first thinking — business goals before models
• ✅ Explainable AI — interpretable systems stakeholders trust
• ✅ Clean architecture — scalable, maintainable code
• ✅ Production mindset — reliability, performance, long-term stability
• ✅ Clear communication — regular updates and collaboration
🔬 Advanced Research & Niche Expertise
● Hybrid Quantum-AI systems, QUBO optimization models, quantum-inspired algorithms, and applied research in quantum machine learning for complex optimization problems.
● Quantum Machine Learning (QML): Practical algorithm development using Variational Quantum Circuits (VQC), VQE, QLSTM and QAOA via Pennylane or Qiskit for optimization and simulation problems.
📩 Let’s discuss how I can help you build AI systems that create a real competitive advantage.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Data Analysis, Cleaning, Preprocessing
In this step, I will use libraries like Numpy and Pandas to perform data analysis.
Data Visualization
Data Visualization will be performed using Matplotlib and Seaborn libraries.