You will get clean, analyze your dataset and deliver actionable business insights
Project details
𝐈 𝐡𝐞𝐥𝐩 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐚𝐧𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫𝐬 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐫𝐚𝐰, 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬 𝐢𝐧𝐭𝐨 𝐜𝐥𝐞𝐚𝐧, 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬-𝐫𝐞𝐚𝐝𝐲 𝐝𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬.
With hands-on experience analyzing real-world datasets —𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 1,500+ 𝐀𝐈 𝐣𝐨𝐛 𝐩𝐨𝐬𝐭𝐢𝐧𝐠𝐬 𝐚𝐧𝐝 𝐜𝐥𝐢𝐦𝐚𝐭𝐞 𝐫𝐢𝐬𝐤 𝐝𝐚𝐭𝐚— I deliver production-grade data pipelines using Python, Pandas, and Scikit-learn.
Every project includes thorough EDA, statistical analysis, professional visualizations, and a business insight summary that connects findings directly to decisions. 𝐘𝐨𝐮 𝐠𝐞𝐭 𝐜𝐥𝐞𝐚𝐧 𝐝𝐚𝐭𝐚, 𝐜𝐥𝐞𝐚𝐫 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬, 𝐚𝐧𝐝 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐚𝐜𝐭 𝐨𝐧 𝐢𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞𝐥𝐲.
With hands-on experience analyzing real-world datasets —𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 1,500+ 𝐀𝐈 𝐣𝐨𝐛 𝐩𝐨𝐬𝐭𝐢𝐧𝐠𝐬 𝐚𝐧𝐝 𝐜𝐥𝐢𝐦𝐚𝐭𝐞 𝐫𝐢𝐬𝐤 𝐝𝐚𝐭𝐚— I deliver production-grade data pipelines using Python, Pandas, and Scikit-learn.
Every project includes thorough EDA, statistical analysis, professional visualizations, and a business insight summary that connects findings directly to decisions. 𝐘𝐨𝐮 𝐠𝐞𝐭 𝐜𝐥𝐞𝐚𝐧 𝐝𝐚𝐭𝐚, 𝐜𝐥𝐞𝐚𝐫 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬, 𝐚𝐧𝐝 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐚𝐜𝐭 𝐨𝐧 𝐢𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞𝐥𝐲.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 8 days |
Number of Revisions | 2 | 2 | Unlimited |
Number of Graphs/Charts | 10 | 15 | 20 |
Number of Variations | 1 | 1 | 1 |
Data Source Connectivity | - | ||
Web Embedding | - | - | |
Interactive/Animated Visuals | - | - |
Optional add-ons
You can add these on the next page.
Additional Graph/Chart
+$2Frequently asked questions
About Muhammad
Machine Learning Engineer | DATA SCIENTIST | RAG | LangGraph | Python
Lahore, Pakistan - 3:17 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.
Data Audit & Problem Scoping
I review your dataset structure, identify quality issues, and align the analysis scope with your specific business goal.
Data Cleaning & Engineering
I handle missing values, duplicates, outliers, encoding, and feature engineering to produce a reliable, structured dataset.