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I will build python machine learning model and streamlit dashboard
Amar Lal
About this gig
Welcome to your one-stop solution for Interactive ML Web Apps! Are you looking to turn your raw data into actionable insights? I will build custom, interactive Machine Learning dashboards and predictive applications using Streamlit, Pandas, NumPy, Scikit-learn, and XGBoost.
What I Offer:
Data Preprocessing: Complete data cleaning & analysis using Pandas/NumPy.
Machine Learning: High-accuracy predictive models with Scikit-learn & XGBoost.
Streamlit Web Apps: Beautiful, responsive multi-page UI & charts.
Model Deployment: Launching your app live on Streamlit Cloud or AWS.
Why Choose Me?
Strong expertise in Python Data Science & ML stack.
Clean, well-documented, and production-ready code.
Quick response time and dedicated professional support.
Message me directly to get a live, interactive link to test my portfolio dashboards! Please drop me a message with your project requirements and dataset before placing an order. Let's work together!
Get to know Amar Lal
Amar Lal
Python AI and Data Dashboard Developer
- FromBangladesh
- Member sinceAug 2026
Languages
Bengali, English
Professional Python AI & Data Dashboard Developer specializing in transforming complex corporate datasets into interactive Streamlit web applications. Highly skilled in data cleansing, pipeline automation, and designing multi-dimensional graphical charts using Plotly and Pandas frameworks. Experienced in orchestrating end-to-end DevOps pipelines, configuring environment bounds via requirements.txt, and deploying production-ready machine learning solutions on cloud architecture to track enterprise metrics and provide scalable data analytics.
My Portfolio
FAQ
What do I need to provide to get started?
I will need your raw dataset (CSV, Excel, or SQL file) and a brief description of your business goals or the specific insights and predictions you want to see on the Streamlit dashboard
Which Python libraries do you use for development?
I heavily use Pandas and NumPy for data cleaning, Scikit-learn and XGBoost for model training, and Streamlit for creating the interactive web application interface.
Will you deploy the Streamlit dashboard live?
Yes! I can help you deploy your application live on the Streamlit Community Cloud for free, or assist with cloud hosting services like AWS or Hugging Face depending on your package.
Is the source code included in all packages?
Yes, I provide the complete, clean, and well-documented Python source code with every package at no extra cost.
