You will get a demand or sales forecasting model built from your data
Rising Talent
Project details
If you have historical demand, sales or other time-series data and need a reliable forecasting workflow, I will build and validate a model from your data.
I will review the forecasting objective, prepare the time-series structure, establish appropriate baselines, engineer relevant features and compare suitable modelling approaches using time-aware validation.
Depending on the selected package, the project can range from a single prepared time series to a more advanced forecasting workflow with multiple model comparisons, scenarios and richer feature engineering.
You will receive forecast outputs, source code, diagnostic charts and clear documentation explaining the methodology, validation results and recommended approach.
This service is suitable for demand, sales, inventory, energy and other structured forecasting problems. Forecast accuracy depends on the available data and problem structure, so I do not promise an artificial percentage improvement before reviewing the data.
I will review the forecasting objective, prepare the time-series structure, establish appropriate baselines, engineer relevant features and compare suitable modelling approaches using time-aware validation.
Depending on the selected package, the project can range from a single prepared time series to a more advanced forecasting workflow with multiple model comparisons, scenarios and richer feature engineering.
You will receive forecast outputs, source code, diagnostic charts and clear documentation explaining the methodology, validation results and recommended approach.
This service is suitable for demand, sales, inventory, energy and other structured forecasting problems. Forecast accuracy depends on the available data and problem structure, so I do not promise an artificial percentage improvement before reviewing the data.
Machine Learning Tools
NumPy, pandas, Python, scikit-learn, SciPy, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 2 | 4 | 6 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 4 | 7 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Model Variation
(+ 1 Day)
+$200
Additional Scenario
(+ 1 Day)
+$150
Additional Forecast Series / Segment
(+ 1 Day)
+$250Frequently asked questions
About Varun
Forecasting & Data Analytics Specialist | Python, SQL, Power BI
Birmingham, United Kingdom - 12:22 am local time
My experience spans energy-market forecasting, retail demand forecasting, commercial analytics and enterprise data engineering. At E.ON Energy Markets, I improved hourly forecast RMSE by 0.3 to 0.5 GWh/h, diagnosed holiday-period model deterioration and reduced holiday RMSE by about 18%. In retail, I built multi-horizon demand forecasts across roughly 7,000 SKUs, with recorded accuracy improvements of 28% weekly, 19% monthly and 37% quarterly.
I can help with:
• Demand, sales and time-series forecasting
• Forecast audits, error analysis and model improvement
• Python and SQL reporting automation
• Data cleaning, transformation and ETL workflows
• Power BI analytics and decision dashboards
• Predictive modelling, segmentation and scenario analysis
My core stack includes Python, SQL, scikit-learn, XGBoost, Power BI, Snowflake, Azure Data Factory and Azure Databricks.
I focus on clear scope, reproducible analysis and outputs that are actually useful for business decisions.
If you already have a dataset, forecast or recurring reporting workflow that needs improving, send me a brief description of the problem and I can quickly assess the best way to approach it.
Steps for completing your project
After purchasing the project, send requirements so Varun can start the project.
Delivery time starts when Varun receives requirements from you.
Varun works on your project following the steps below.
Revisions may occur after the delivery date.
Review and prepare the forecasting data
I will validate the time series, target, forecast horizon, missing values, seasonality and relevant business features before modelling.
Build a baseline and evaluation framework
I will establish appropriate baseline forecasts and a time-aware validation setup so model performance is measured consistently and without leakage.