You will get a custom machine learning model for your business
Project details
I build clean, accurate machine learning models tailored to your business needs. You get a complete end-to-end solution with data cleaning, model training, evaluation, and a ready-to-use prediction script or dashboard. Fast delivery and clear communication guaranteed.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Google Sheets, Microsoft Excel, MLflow, NLTK, NumPy, pandas, Python, Python Scikit-LearnWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 0 | 1 | 2 |
Number of Graphs/Charts | 1 | 2 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Data Source Connectivity
+$10About Swayam
Machine Learning Engineer
Nellore, India - 5:04 am local time
I help companies turn their raw data into predictive models, automated workflows, and interactive AI dashboards.
Every project I deliver is production-ready, easy to use, and built with a clear business outcome in mind — not just academic ML experiments.
🔹 What I Can Build for You
Predictive ML models (churn, lead scoring, conversions, fraud, customer behavior)
NLP systems (spam detection, sentiment analysis, text classification)
Complete ML pipelines — preprocessing → training → evaluation → deployment
Interactive dashboards using Streamlit (perfect for demos & internal tools)
Data cleaning & feature engineering for messy datasets
Python automation tools (ETL, data processing, API-based workflows)
🔹 What Makes My Work Different
End-to-end delivery — data → model → app → documentation
Clean, modular Python code following ML engineering best practices
Business-first approach (I focus on your use-case, not just accuracy metrics)
Clear evaluation with AUC, F1, confusion matrix, ROC curves, and threshold tuning
Streamlit deployment so you get a working web app, not just a notebook
Fast responses, clear communication, and on-time delivery
I’ve built multiple real ML applications including a Customer Churn Prediction System, Email Spam Classifier, and Sentiment Analysis App — all structured for real-world business use.
🔹 Tech Stack
Python • Scikit-Learn • Pandas • NumPy • Streamlit • Matplotlib
Machine Learning • NLP • Predictive Analytics • ETL Pipelines • Model Deployment
🔹 Why Clients Hire Me
✓ You get a real working ML app, not just code
✓ You get clean, documented deliverables
✓ You get business-friendly explanations, not complex jargon
✓ You get fast turnaround and reliable support
If you need a predictive model, a Streamlit dashboard, or a custom ML automation, I can build it quickly and professionally.
🟢 Let’s build something valuable.
Send me a message — I reply fast.
Steps for completing your project
After purchasing the project, send requirements so Swayam can start the project.
Delivery time starts when Swayam receives requirements from you.
Swayam works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Preprocessing
I will inspect your dataset, clean it, handle missing values, and prepare the features for modeling.
Model Development & Evaluation
I will train the machine learning model, optimize it, and evaluate its performance using relevant metrics.