You will get I will build telecom traffic forecasting using AI models
Project details
I will help you forecast trends, demand, KPIs, and business metrics using AI-driven forecasting models and advanced analytics techniques.
I specialize in time-series forecasting, predictive analytics, and machine learning solutions that support business planning and data-driven decision-making.
Services may include:
• KPI and demand forecasting
• Trend prediction
• Forecast visualization
• Data preprocessing and cleaning
• AI/ML forecasting model development
Forecasting approaches:
• Prophet
• ARIMA
• Holt-Winters
• XGBoost
• Random Forest
Tools:
Python, SQL, BigQuery, Pandas, Scikit-learn, Tableau, and GIS tools.
Deliverables:
✔ Forecasting model
✔ Source code
✔ Charts & dashboards
✔ Documentation & insights
Please contact me before placing large or customized projects.
I specialize in time-series forecasting, predictive analytics, and machine learning solutions that support business planning and data-driven decision-making.
Services may include:
• KPI and demand forecasting
• Trend prediction
• Forecast visualization
• Data preprocessing and cleaning
• AI/ML forecasting model development
Forecasting approaches:
• Prophet
• ARIMA
• Holt-Winters
• XGBoost
• Random Forest
Tools:
Python, SQL, BigQuery, Pandas, Scikit-learn, Tableau, and GIS tools.
Deliverables:
✔ Forecasting model
✔ Source code
✔ Charts & dashboards
✔ Documentation & insights
Please contact me before placing large or customized projects.
Machine Learning Tools
ArcGIS, Cloudera, NumPy, pandas, Python, Python Scikit-Learn, SciPy, SQL, Tableau, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 3 |
Number of Graphs/Charts | 3 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code | - | - |
Frequently asked questions
About Sabrina Boyke
Senior Data Scientist | ML Forecasting LLM RAG GIS | Python SQL
Jakarta, Indonesia - 6:54 pm local time
What I build:
(1) Time-series forecasting pipelines (Prophet, XGBoost, LightGBM, ARIMA, Holt-Winters) with automatic per-site model selection across thousands of locations
(2) Geospatial ML models (GeoPandas, H3, Folium, QGIS) for site optimization and coverage analysis
(3) LLM agentic systems with RAG pipelines (LangChain, LangGraph, ChromaDB, OpenAI) — deployed and live
(4) Graph Neural Networks for fraud detection (GraphSAGE + GAT, AUC 0.955) with FastAPI REST API in Docker
(5) End-to-end ML pipelines on BigQuery, Hadoop, and Parquet at scale
Recent deployed projects:
(1) AI Housing Analyst — LangChain multi-agent RAG system on 10M+ rows, live on Streamlit Cloud
(2) Graph Fraud Detector — GNN fraud classification with FastAPI + Docker deployed on Render
Tech stack: Python · SQL · BigQuery · Prophet · XGBoost · LightGBM · LangChain · ChromaDB · FastAPI · Docker · GeoPandas · Tableau · Optuna · SHAP
Available Mon–Sat, 8AM–12PM ET (UTC+7). Open to part-time and long-term engagements.
Steps for completing your project
After purchasing the project, send requirements so Sabrina Boyke can start the project.
Delivery time starts when Sabrina Boyke receives requirements from you.
Sabrina Boyke works on your project following the steps below.
Revisions may occur after the delivery date.
Data Understanding & Validation
Review the dataset, validate data quality, understand KPIs, and identify the best forecasting approach based on the business objective.
Data Cleaning & Feature Engineering
Clean and preprocess the dataset, handle missing values, prepare time-series structure, and engineer relevant forecasting features.