You will get a Python prediction web app for your data
Project details
I will build a custom machine learning web app using Python, Streamlit, or Flask that turns your data and ML model into a practical, easy-to-use solution. Your users will be able to upload data, generate predictions, explore results, and access valuable insights through a clean and user-friendly interface tailored to your specific requirements.
My goal is to make your machine learning solution practical and useful for real business needs. I’ll focus on reliable predictions, clear result visualization, smooth user experience, and easy interaction with the model so you can save time, improve decision-making, and turn your data into actionable business insights.
My goal is to make your machine learning solution practical and useful for real business needs. I’ll focus on reliable predictions, clear result visualization, smooth user experience, and easy interaction with the model so you can save time, improve decision-making, and turn your data into actionable business insights.
Machine Learning Tools
Apache Spark, Apache Spark MLlib, BERT, ChatGPT, fastText, Google Sheets, GPT-3, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, Tableau, TensorFlow, Tesseract OCR, XGBoostWhat's included
| Service Tiers |
Starter
$40
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
About Muhammad
AI & Machine Learning Engineer | Data Science | NLP
Karachi, Pakistan - 5:25 am local time
With 30+ AI & Data Science projects completed outside Upwork, I build Machine Learning solutions that help businesses analyze data, predict outcomes and automate decisions. Specializing in Data Analysis, Data Cleaning, Predictive Analytics, NLP and ML Deployment using Python, SQL and modern AI technologies.
WHAT I DO
1. Data Analysis & Dashboards (EDA)
Explore datasets, identify trends, perform exploratory data analysis, and create insightful dashboards for better business decisions.
2. Data Preparation & Cleaning
Clean, preprocess, and transform raw data into high-quality datasets ready for analytics and machine learning.
3. Machine Learning Solutions & Predictive Analytics
Develop classification, regression, forecasting, recommendation, and predictive models that generate measurable business value.
4. ML Application Deployment
Deploy machine learning models and AI-powered applications that integrate seamlessly into real-world business environments.
EXPERTISE
• Natural Language Processing (NLP)
• Machine Learning & Predictive Analytics
• Data Analysis & Visualization
• Sentiment Analysis & Topic Modeling
• Recommendation Systems
TECHNICAL STACK
• Python, SQL (PostgreSQL)
• Pandas, NumPy, Scikit-learn, Matplotlib
HOW I WORK
Every successful AI solution starts with understanding the business problem. I combine clean data, reliable machine learning models, and clear communication to build scalable solutions that deliver real business impact.
WHY WORK WITH ME
• Experience in AI & Data Science Project
• Strong expertise in Machine Learning and NLP
• Clean, scalable, and maintainable solutions
• Transparent communication and on-time delivery
• Dedicated to delivering measurable business results
CURRENTLY AVAILABLE FOR
• Data Analysis & Dashboards (EDA)
• Data Cleaning & Preparation
• Predictive Analytics
• ML Application Deployment
Ready to unlock the full potential of your data? Send me a message or invite me to your project today, and let's build something that creates real business impact.
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.
Analyze Data & Requirements
I’ll review your requirements and dataset, clean and analyze the data, and identify the best approach for your prediction solution.
Build & Deliver Web App
I’ll build, test, and integrate the prediction model into a practical Python web app, then deliver the agreed source code and results.