Hi! I'm a passionate Machine Learning Engineer and Data Science specialist with real-world experience in building intelligent solutions that turn raw data into meaningful insights. I’ve worked on diverse projects such as customer churn prediction, credit card fraud detection, sentiment analysis, and yield forecasting.

With a strong command of Python, Pandas, Scikit-learn, TensorFlow, Keras, and NLP libraries like NLTK, I can help you with:

✅ Predictive Modeling & Machine Learning
✅ Data Cleaning, Preprocessing, and Feature Engineering
✅ Text Analysis and NLP Tasks
✅ Exploratory Data Analysis & Dashboard Creation
✅ Model Evaluation, Tuning & Deployment
✅ Web Scraping and Data Automation Scripts

I’m committed to delivering clean, efficient, and scalable code tailored to your business needs. Whether you need help with an academic project, a startup MVP, or production-ready models—I’m here to help you make data-driven decisions faster and smarter.

Let’s build something amazing—together!

Work Terms

1. Communication:

I am available for communication via platform messages, email, or Zoom/Google Meet as required.

I respond within 12–24 hours, with prompt updates on project progress.

2. Availability:

Available for both short-term and long-term projects.

Flexible to work in IST and overlapping hours with other time zones.

3. Work Process:

Initial consultation to understand project requirements.

Milestone-based planning and deliverables.

Regular updates and feedback integration throughout the project.

4. Deliverables:

Clean, well-documented code

Project report (if required)

Source files and working models

Deployment support (if needed)

5. Tools & Technologies:

Python, Scikit-learn, TensorFlow, Keras, Pandas, NumPy, Matplotlib, Seaborn, NLTK

Jupyter Notebook, Google Colab, VS Code

GitHub for version control

Streamlit or Flask for model deployment

6. Confidentiality:

I respect the confidentiality of all client data and ideas.

Willing to sign NDAs for sensitive projects.

7. Revisions & Support:

Includes 1–2 rounds of revisions post-delivery based on initial scope.

Free bug fixing or technical support for 1–2 weeks after final delivery.

8. Payment Terms:

Flexible with hourly or fixed-price contracts.

Milestone-based payments preferred for large projects.

9. Rights & Ownership:

All deliverables become the client’s property upon final payment.