You will get Demand Forecasting Model Using Python, Machine Learning & Time Series
Project details
I will build a reliable demand forecasting and sales prediction model using your historical data. I can analyze trends and seasonality, compare forecasting approaches, validate model performance, and generate clear future demand forecasts with easy-to-understand visualizations. The solution is designed to help businesses improve inventory planning, reduce stockouts, and make data-driven decisions. You will receive the forecast results, key insights, and source code based on your selected package.
Machine Learning Tools
Microsoft Power BI, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQLWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 3 | 3 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 53 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Ashlesh
Data Cleaning| Data analysis| Visualization| Machine Learning
Bengaluru, India - 2:10 am local time
Data and Analytics professional with 6+ years of experience in retail analytics, data science, and business insights. Expertise in
leveraging statistical modeling, forecasting, Time series and clustering techniques to drive operational efficiency and strategic
decision-making. Proven ability to collaborate cross-functionally, streamline operations, and enhance profitability using
advanced analytics.
Steps for completing your project
After purchasing the project, send requirements so Ashlesh can start the project.
Delivery time starts when Ashlesh receives requirements from you.
Ashlesh works on your project following the steps below.
Revisions may occur after the delivery date.
Data Analysis & Preparation
I will review, clean, and prepare your historical sales data, including handling missing values, duplicates, outliers, and date-related issues.
Demand Pattern & Trend Analysis
I will analyze historical demand trends, seasonality, product performance, and other patterns that can influence future demand.