You will get a custom machine learning system for your business
Project details
You will get a production-ready machine learning solution tailored to your business problem, not just a basic model. I focus on building reliable systems that turn raw data into actionable insights and measurable outcomes.
Instead of generic approaches, I design structured pipelines that include data processing, feature engineering, model development, and performance optimization. The goal is to deliver a solution that is accurate, scalable, and usable in real-world scenarios.
I prioritize clarity, maintainability, and long-term usability, ensuring the system can evolve with your needs. Whether your use case involves prediction, classification, or data-driven decision support, the final solution will be aligned with your objectives.
The work delivered is clean, well-documented, and ready for practical use, making it suitable for both technical and business environments.
Instead of generic approaches, I design structured pipelines that include data processing, feature engineering, model development, and performance optimization. The goal is to deliver a solution that is accurate, scalable, and usable in real-world scenarios.
I prioritize clarity, maintainability, and long-term usability, ensuring the system can evolve with your needs. Whether your use case involves prediction, classification, or data-driven decision support, the final solution will be aligned with your objectives.
The work delivered is clean, well-documented, and ready for practical use, making it suitable for both technical and business environments.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, Salesforce Einstein, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 6 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $40
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$15
Additional Scenario
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$5
Model Documentation
(+ 1 Day)
+$20
Data Source Connectivity
(+ 2 Days)
+$25Frequently asked questions
About Palakdeep
AI/ML Automation & Model Testing
Sirsa, India - 11:16 am local time
experience in Machine Learning, Deep Learning, and Python
Development. I specialize in turning raw data into meaningful
insights and building intelligent systems that solve real
problems.
What makes me different — I have independently built and
deployed a fully functional AutoML Platform that automatically
trains, compares, and evaluates multiple ML models on any
dataset. This gives me practical, real-world experience that
goes beyond just theory.
🎓 Background:
- Computer Science Student (Engineering)
- Self-taught ML & DL practitioner
- Hands-on with Python, Pandas, Scikit-learn, XGBoost,
Matplotlib, Seaborn
🛠️ What I Can Do For You:
- Clean and analyze your messy datasets
- Build accurate ML models for prediction/classification
- Create visual reports with clear insights
- Automate repetitive data tasks using Python
- Deliver projects fast with clear documentation
💡 My Approach:
I believe in delivering quality work on time. I take time
to understand your exact problem before jumping into
solutions. I communicate clearly throughout the project
so you're never left guessing.
I may be a student, but my work is professional.
My deployed AutoML platform is proof of that.
Let's connect and solve your data problems together! 🚀
Steps for completing your project
After purchasing the project, send requirements so Palakdeep can start the project.
Delivery time starts when Palakdeep receives requirements from you.
Palakdeep works on your project following the steps below.
Revisions may occur after the delivery date.
Problem Definition & Planning
Understand your business goal, data, and expected outcomes.
Data Structuring & Preparation
Clean, validate, and prepare data for reliable processing.