You will get highly accurate demand/supply forecasting models of production ready


Project details
18+ years AI/ML field who delivered 50+ projects in demand/supply forecasting for CPG Retail clients. Also, have several Papers/Thesis in Machine Learning / Data Science areas.
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, XGBoostWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,000
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 30 days | 60 days | 70 days |
Number of Revisions | 2 | 5 | Unlimited |
Number of Model Variations | 2 | 5 | 10 |
Number of Scenarios | 2 | 5 | 10 |
Number of Graphs/Charts | 10 | 20 | 50 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Pradeep
Machine (Deep) Learning Architect / Principal, Trainer, Mentor
Bengaluru, India - 5:15 pm local time
Business Consultant in AI/ML field who delivered 100+ projects as freelancer/external consultant (few value greater than $1M). Also, guided several Dissertations, Course Works, Master's Papers/Thesis in Machine Learning / Data Science / Statistics areas.
Kaggle Expert and Tutor
Also, experienced in customized data sciences trainings aimed at increasing staff productivity and business conceptualization.
Expert in 9 laws of DS/ML projects namely.,
1) Business Goals
2) Assessing data to background of the study and providing a complete summary report.
3) Data Preparation Law
4) Feature Engineering
5) Hypothesis and methodology (if required).
6) Insight Law
7) Finally a presentation in word or power point.
8) Prediction Law
9) Value Law
Steps for completing your project
After purchasing the project, send requirements so Pradeep can start the project.
Delivery time starts when Pradeep receives requirements from you.
Pradeep works on your project following the steps below.
Revisions may occur after the delivery date.
Data transferability or cloud computation
Need either data transfer ability or cloud computation details