You will get a custom machine learning model built in Python for prediction & scoring
Project details
I'll build a custom machine learning model on your data: properly validated, honestly evaluated, and explained so you know why it predicts what it predicts. No black box handed over without documentation.
WHAT YOU GET
✔ Trained model (scikit-learn, XGBoost or LightGBM) with saved weights
✔ Feature engineering and selection from your raw data
✔ Cross-validation and hyperparameter tuning, not one lucky split
✔ Honest evaluation: precision, recall, F1, ROC-AUC, confusion matrix
✔ SHAP explainability showing which features actually drive predictions
✔ Prediction script or API endpoint + full documentation
USE CASES
Customer churn, lead scoring, credit risk, fraud detection, price prediction, conversion likelihood, customer segmentation, medical and industrial classification.
PROCESS
1. Send your data + what you want predicted
2. I'll tell you honestly whether the data supports it before you pay
3. Build, validate, explain, hand over
WHY ME
Top 10% on Upwork. 100+ projects delivered. Under 1 hour response time. I report real accuracy, including when it's disappointing.
Message me your dataset and target variable first.
WHAT YOU GET
✔ Trained model (scikit-learn, XGBoost or LightGBM) with saved weights
✔ Feature engineering and selection from your raw data
✔ Cross-validation and hyperparameter tuning, not one lucky split
✔ Honest evaluation: precision, recall, F1, ROC-AUC, confusion matrix
✔ SHAP explainability showing which features actually drive predictions
✔ Prediction script or API endpoint + full documentation
USE CASES
Customer churn, lead scoring, credit risk, fraud detection, price prediction, conversion likelihood, customer segmentation, medical and industrial classification.
PROCESS
1. Send your data + what you want predicted
2. I'll tell you honestly whether the data supports it before you pay
3. Build, validate, explain, hand over
WHY ME
Top 10% on Upwork. 100+ projects delivered. Under 1 hour response time. I report real accuracy, including when it's disappointing.
Message me your dataset and target variable first.
Machine Learning Tools
Python, scikit-learnWhat's included
| Service Tiers |
Starter
$60
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 13 days |
Number of Revisions | 2 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10Frequently asked questions
About Muhammad Fasih
DataScience|Data Analysis|Machine Learning|Data Visualization|Python|R
Islamabad, Pakistan - 1:46 am local time
🎖️ 2+ Years of Experience | 100+ Projects Delivered
⏱️ Under 1 Hour Response Time | Cross-Industry Expertise
🌐 Supporting Startups, Enterprises & Tech Teams Worldwide
🚀 Unlock the Power of Data with Expert AI & Data Solutions
I help businesses build AI-powered products, automate workflows, and extract actionable insights. With hands-on experience in machine learning, cloud deployment, and analytics, I deliver scalable, production-ready solutions tailored to your goals.
🎯 Looking to develop smart AI systems, automate decision-making, or launch powerful dashboards? Let’s get started.
💡 Core Expertise Areas
🔹 Generative AI and LLM Applications (GPT, RAG, Fine-tuning)
🔹 Predictive Modeling and Business Intelligence
🔹 Deep Learning (Computer Vision, NLP, Transformers)
🔹 Custom AI Chatbots and Natural Language Understanding
🔹 ML Ops, Cloud Deployment, and CI/CD Automation
🔹 Advanced Data Pipelines and Data Warehousing
🔹 Real-time KPI Dashboards and Performance Tracking
🛠️ Skills I Possess
💻 Programming & Libraries
👉 Python (NumPy, Pandas, Scikit-learn, Polars, TensorFlow, Keras)
👉 R
👉 SQL (PostgreSQL, MySQL, SQLite)
📊 Machine Learning Techniques & Statistics
👉 Regression, Gradient Boosting, Maximum Likelihood Estimation
👉 Probabilistic Graphical Models, Deep Learning
👉 Hyperparameter Tuning, Feature Engineering
⚙️ Data Processing & Engineering
👉 Apache Spark, Python Polars, AWS Glue
👉 Apache Airflow, dbt, Mage
📈 Visualization & Dashboards
👉 Tableau, Looker Studio, Power BI, Seaborn, Plotly
☁️ Cloud & Infrastructure
👉 AWS (S3, Lambda, SageMaker, Athena)
👉 GCP (BigQuery, Vertex AI)
👉 Docker, Streamlit, CI/CD
📦 Databases & Storage
👉 PostgreSQL, MySQL, SQLite
👉 AWS Athena, GCP BigQuery
👉 Data Lakes and Warehouse Architecture
💼 Services I Offer
🤖 ML/AI Product Development
👉 Transform your ML vision into a clear product plan with a defined roadmap and timeline.
🧪 Machine Learning & Data Software Engineering
👉 I can start from scratch or quickly integrate into your existing project. I specialize in optimization, scalability, and fast delivery within 24 hours.
☁️ Cloud Development
👉 Deploy, monitor, and optimize ML or data pipelines in AWS or GCP environments.
📊 Business Intelligence & Automation
👉 Build intelligent dashboards and automate your business processes to unlock time and efficiency.
📈 Technical Stack Summary
🧠 Languages: Python, R, SQL
🧠 Libraries: Scikit-learn, TensorFlow, PyTorch, Pandas, Polars, Hugging Face
🧠 Visualization Tools: Looker Studio, Tableau, Power BI, Seaborn, Plotly
🧠 Cloud Platforms: AWS, GCP
🧠 Deployment: Docker, Streamlit, CI/CD
🧠 Workflow Tools: Apache Airflow, Mage, dbt
🧠 Databases: BigQuery, Athena, PostgreSQL, MySQL
🌟 Why Clients Choose Me
✅ Scalable and Production-Ready Solutions
✅ Business-Aligned AI and Data Strategies
✅ Fast Onboarding with Clear Communication
✅ Thorough Documentation and Smooth Handoff
✅ SEO-Friendly, High-Performance Deliverables
✅ Agile Collaboration and Frequent Progress Updates
🎯 Ideal If You Need
🔍 Generative AI or Custom LLM Integration
🔍 Full-Stack Machine Learning Solutions
🔍 Real-Time KPI Dashboards
🔍 Predictive Analytics or Time Series Forecasting
🔍 Chatbots and NLP-Driven Tools
🔍 Automated Business Workflows
🔍 Deep Learning in Vision or Language
🔍 Data Pipelines using dbt, Airflow, Glue
🔍 Cloud-Based Deployment and MLOps
📨 Ready to turn your data into intelligence and automation? Message me today and let’s build something impactful together.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Fasih can start the project.
Delivery time starts when Muhammad Fasih receives requirements from you.
Muhammad Fasih works on your project following the steps below.
Revisions may occur after the delivery date.
Data audit & feasibility check
I profile your data and check whether it can actually support the prediction you want. If the signal isn't there or the sample is too small, you'll hear it on day one, not at delivery.
Feature engineering & baseline
I build features from your raw data and train a baseline model to set the floor. Every later improvement is measured against that number rather than against nothing at all.