You will get build machine learning and deep learning models in Python
Project details
𝐘𝐨𝐮 𝐰𝐢𝐥𝐥 𝐠𝐞𝐭 𝐚 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐨𝐫 𝐝𝐞𝐞𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 model built specifically around your data and business problem — not a generic tutorial script.
I handle everything from raw data to a working, documented, deployable solution.
𝐖𝐢𝐭𝐡 2 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐢𝐧𝐠 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐌𝐋 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬— including a smartphone price predictor achieving R²=0.903, a bank customer churn predictor with SMOTE pipeline, and a news category classifier — I build models that solve real problems and deliver measurable results.
Every project includes clean Python code, full evaluation report, and a documented Jupyter Notebook you can understand, modify, and build on.
I handle everything from raw data to a working, documented, deployable solution.
𝐖𝐢𝐭𝐡 2 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐢𝐧𝐠 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐌𝐋 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬— including a smartphone price predictor achieving R²=0.903, a bank customer churn predictor with SMOTE pipeline, and a news category classifier — I build models that solve real problems and deliver measurable results.
Every project includes clean Python code, full evaluation report, and a documented Jupyter Notebook you can understand, modify, and build on.
Machine Learning Tools
NLTK, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, Scrapy, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 7 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 2 | 2 | 5 |
Number of Graphs/Charts | 10 | 15 | 20 |
Model Validation/Testing | - | - | |
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Graph/Chart
+$3Frequently asked questions
About Muhammad
Machine Learning Engineer | DATA SCIENTIST | RAG | LangGraph | Python
Lahore, Pakistan - 9:22 pm local time
My work goes beyond notebooks. I design, build, and deploy complete ML pipelines and agentic AI systems — from raw data ingestion and feature engineering to model training, optimization, and live deployment. I build agents that reason, remember, and act autonomously using LangGraph stateful workflows, tool calling, and RAG pipelines. Every project I deliver is production-ready, documented, and built to create actual business value.
𝐖𝐡𝐚𝐭 𝐈 𝐡𝐚𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝:
Built a Job Skill Recommender analyzing 1,500+ real job postings using cosine similarity and 93 engineered binary features — deployed live on Azure
Developed a Bank Churn Predictor with a full SMOTE pipeline, reducing false negatives on imbalanced data
Built SmartPricer, a smartphone price prediction app (R²=0.903) deployed with FastAPI
Engineered a production-ready agentic RAG chatbot using LangGraph with stateful tool calling, long-term memory, and Groq LLM integration — deployed on Hugging Face Spaces
Completed a professional NLP internship delivering a text classification pipeline at ~90% accuracy
𝐂𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬:
𝘗𝘺𝘵𝘩𝘰𝘯 · 𝘗𝘢𝘯𝘥𝘢𝘴 · 𝘚𝘤𝘪𝘬𝘪𝘵-𝘭𝘦𝘢𝘳𝘯 · 𝘕𝘓𝘗 · 𝘓𝘢𝘯𝘨𝘊𝘩𝘢𝘪𝘯 · 𝘓𝘢𝘯𝘨𝘎𝘳𝘢𝘱𝘩 · 𝘙𝘈𝘎 · 𝘍𝘢𝘴𝘵𝘈𝘗𝘐 · 𝘚𝘵𝘳𝘦𝘢𝘮𝘭𝘪𝘵 · 𝘍𝘦𝘢𝘵𝘶𝘳𝘦 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 · 𝘌𝘋𝘈 · 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘓𝘦𝘢𝘳𝘯𝘪𝘯𝘨
I specialize in turning messy, unstructured data into clean insights and deployed applications — and building intelligent agents that automate complex workflows businesses previously handled manually.
𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐚 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐌𝐋 𝐚𝐧𝐝 𝐀𝐈 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐡𝐨 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐬 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 — 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐜𝐨𝐝𝐞, 𝐛𝐮𝐭 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 — 𝐥𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤.
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.
Understand Your Problem
I review your dataset and business goal to define the right ML approach — classification, regression, clustering, or deep learning.
Clean and Prepare the Data
I handle missing values, outliers, encoding, scaling, and class imbalance so your model trains on accurate, reliable data.