You will get Custom Machine Learning Forecasting Models to Boost Your Business Decisions
Project details
You will get a custom forecasting solution that turns raw data into actionable insights for smarter business decisions.
I have 3+ years of experience delivering projects for major energy utilities (Genesis Energy, Yes Energy, Transpower, Mercury and etc) and global enterprises (Shell Energy, Sanofi, Farmers, Pacificomm and more). My expertise is in building forecasting systems that improve planning, cost optimization, and growth strategies.
My approach is:
1. Clarity-first: Results explained in business terms, not just technical detail.
2. Impact-driven: Models aligned to real outcomes like supply chain resilience, energy demand planning, or retail sales accuracy.
3. Scalable: From quick insight reports to full automated pipelines and dashboards.
Whether you need a consultation to shape your strategy, a validated model with scenarios, or a production-ready pipeline, I deliver work that is original, business-ready, and proven in real industry contexts. Forecasts that don’t just predict numbers, they drive better decisions.
I have 3+ years of experience delivering projects for major energy utilities (Genesis Energy, Yes Energy, Transpower, Mercury and etc) and global enterprises (Shell Energy, Sanofi, Farmers, Pacificomm and more). My expertise is in building forecasting systems that improve planning, cost optimization, and growth strategies.
My approach is:
1. Clarity-first: Results explained in business terms, not just technical detail.
2. Impact-driven: Models aligned to real outcomes like supply chain resilience, energy demand planning, or retail sales accuracy.
3. Scalable: From quick insight reports to full automated pipelines and dashboards.
Whether you need a consultation to shape your strategy, a validated model with scenarios, or a production-ready pipeline, I deliver work that is original, business-ready, and proven in real industry contexts. Forecasts that don’t just predict numbers, they drive better decisions.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$200
|
Standard
$800
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 14 days |
Number of Revisions | 0 | 2 | 3 |
Number of Model Variations | 0 | 2 | 3 |
Number of Scenarios | 0 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 9 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $500
Additional Revision
+$50
Additional Model Variation
(+ 1 Day)
+$300
Additional Scenario
(+ 1 Day)
+$100
Additional Graph/Chart
(+ 1 Day)
+$50
Model Validation/Testing
(+ 2 Days)
+$150
Model Documentation
(+ 2 Days)
+$150
Data Source Connectivity
(+ 3 Days)
+$300
Source Code
(+ 2 Days)
+$200
Data Cleaning/Preprocessing
(+ 3 Days)
+$300
Training/Walkthrough Call
(+ 1 Day)
+$120
Ongoing Support (Weekly)
(+ 7 Days)
+$300Frequently asked questions
About Yeji
Data Scientist | Forecasting, Python, Energy & Retail Analytics
Auckland, New Zealand - 8:59 am local time
Here’s what I can do for you:
• 📊 Dashboards & Reporting (Power BI, Tableau) → interactive visuals that highlight KPIs.
• 🧹 Data Cleaning & Automation (Python, SQL) → scripts that save hours of manual work.
• 🔮 Forecasting & ML (time-series, demand prediction) → reliable models with clear explanations.
• ⚡ Energy & Market Analytics → gas, power, and commodity data turned into actionable insights.
Steps for completing your project
After purchasing the project, send requirements so Yeji can start the project.
Delivery time starts when Yeji receives requirements from you.
Yeji works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Alignment
Review your data, clarify objectives, and align on key decisions the forecast will support.
Data Review & Preparation
Explore your dataset, handle missing values/outliers, and create a clean foundation to ensure reliable forecasts.