You will get a Sales/ROAS Prediction Model with XGBoost Machine Learning
Project details
You will get a production-ready Machine Learning model that predicts your sales or marketing ROAS with proven accuracy.
I build XGBoost prediction models that help businesses forecast revenue, optimize ad spend, and make data-driven decisions. No more guessing - get accurate predictions backed by your historical data.
What's included:
• XGBoost/LightGBM prediction model trained on your data
• Feature engineering from your marketing/sales data
• Model validation with metrics (R², RMSE, MAE)
• Predictions API or Excel/CSV output
• Documentation and retraining guide
Proven results: Built ROAS prediction model achieving R² 0.684 (+24% improvement vs baseline) for real marketing data at a marketing intelligence platform.
Tech: Python, XGBoost, Scikit-learn, Pandas, FastAPI, Streamlit
I build XGBoost prediction models that help businesses forecast revenue, optimize ad spend, and make data-driven decisions. No more guessing - get accurate predictions backed by your historical data.
What's included:
• XGBoost/LightGBM prediction model trained on your data
• Feature engineering from your marketing/sales data
• Model validation with metrics (R², RMSE, MAE)
• Predictions API or Excel/CSV output
• Documentation and retraining guide
Proven results: Built ROAS prediction model achieving R² 0.684 (+24% improvement vs baseline) for real marketing data at a marketing intelligence platform.
Tech: Python, XGBoost, Scikit-learn, Pandas, FastAPI, Streamlit
Machine Learning Tools
Google Data Studio, Microsoft Power BI, NumPy, pandas, Python, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 3 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$25
Additional Model Variation
(+ 1 Day)
+$50
Additional Graph/Chart
(+ 1 Day)
+$30
Data Source Connectivity
(+ 2 Days)
+$75Frequently asked questions
About Byron
Lead Data Scientist AI Engineer | RAG | LLM | LangChain | AI Agents
Pasto, Colombia - 12:23 am local time
I build end-to-end intelligence systems combining Machine Learning, Large Language Models, and automation to solve business problems at scale.
KEY EXPERIENCE:
▸ PepsiCo (Joy App LATAM): Fraud Detection system for 5.8M users using Isolation Forest + KMeans. User Engagement Roadmap with custom CES Score.
▸ Moov Media Group (Chile): IHAA Platform - Marketing Mix Modeling with Google Meridian on GCP. TikTok/Meta/Google Ads connectors.
▸ Grupo VCO/SMD: Lead Advanced Analytics - Healthcare Big Data with AWS + Azure Databricks.
STACK:
- AI/LLM: RAG, LangChain, OpenAI, ChromaDB
- ML: XGBoost, Isolation Forest, KMeans
- Cloud: GCP (BigQuery, Cloud Run), AWS, Azure Databricks
- Data: Python, SQL, FastAPI, Docker
DOMAINS: Fraud Detection | Marketing Mix Modeling | Consumer Analytics | Healthcare Big Data
Open to remote opportunities in AI/ML Engineering or Data Science.
Steps for completing your project
After purchasing the project, send requirements so Byron can start the project.
Delivery time starts when Byron receives requirements from you.
Byron works on your project following the steps below.
Revisions may occur after the delivery date.
Data review and understanding your prediction goals
Data cleaning and feature engineering