You will get Accurate Time-Series Forecasting for Key Business Metrics
Rising Talent
Rising Talent
Project details
If you need reliable forecasting for your KPIs, sales, engagement, operations, or multi-region performance, I can help you build something clear and actionable. I've delivered forecasting and analytics solutions for global teams at Nike, working with billions of rows across multiple markets.
My goal is simple: give you a forecast you can trust, with clean visuals, transparent explanations, and a smooth communication process from start to finish. You’ll always know what I’m doing, why I’m doing it, and what the model can (and cannot) predict confidently.
You’ll get:
• A well-cleaned and validated dataset
• A forecasting model suited to your data
• Visualizations that highlight patterns, risks, and opportunities
• A clear explanation of how to use the results for planning
• Optional notebook/script delivery if you want the code
My goal is simple: give you a forecast you can trust, with clean visuals, transparent explanations, and a smooth communication process from start to finish. You’ll always know what I’m doing, why I’m doing it, and what the model can (and cannot) predict confidently.
You’ll get:
• A well-cleaned and validated dataset
• A forecasting model suited to your data
• Visualizations that highlight patterns, risks, and opportunities
• A clear explanation of how to use the results for planning
• Optional notebook/script delivery if you want the code
Machine Learning Tools
Databricks Platform, MLflow, NumPy, pandas, Python, SQLWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 0 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Additional Model Variation
(+ 3 Days)
+$100
Additional Scenario
(+ 2 Days)
+$50
Additional Graph/Chart
(+ 1 Day)
+$25
Model Documentation
(+ 3 Days)
+$100
Source Code
(+ 2 Days)
+$75Frequently asked questions
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CD
Canva D.
Nov 27, 2025
Power Analysis and Effect Size Python
About Ivan
ML Engineer | LLM Automation | Data Scientist Python | EDA & Forecast
Lima, Peru - 3:29 pm local time
If you need someone who can look at your data, understand the business problem, and turn it into something useful (clean insights, a small model, a simple automation, or an internal AI tool) I can help. My style is collaborative and practical. I explain things in clear, human language, even when they are technical, and I always try to make the solution fit your real workflow.
What I can do for you:
- Build small ML and forecasting models (Python, scikit-learn, statsmodels)
- Clean, analyze and visualize datasets, identify trends or issues
- Create LLM-based tools using OpenAI API or local models (classification, assistants, summarization, Q&A)
- Automate repetitive analytics tasks (FastAPI, simple pipelines, scripts)
How I work:
* I like to keep things lightweight and easy to iterate
* I explain what I'm doing as we go, step by step
* I share notebooks, code, or API endpoints in a clear way so you can reuse them
* I communicate early if something needs clarification (English, Spanish, Portuguese)
Tech stack:
Python, Pandas, scikit-learn, statsmodels, FastAPI, Databricks, SQL, Jupyter, OpenAI API, REST APIs, data cleaning and EDA, dashboards, simple ETL.
Before focusing on data science and ML, I spent several years in tech and consulting (Accenture, KPMG, PMO leadership). That experience helps me collaborate well with founders, marketing teams, and product groups, mixing the technical side with the business side.
If your project needs a mix of analysis, code, AI-automation, and clear communication, I'd be happy to support you. Just tell me what you're trying to achieve, and we can explore the best way to build it together.
Steps for completing your project
After purchasing the project, send requirements so Ivan can start the project.
Delivery time starts when Ivan receives requirements from you.
Ivan works on your project following the steps below.
Revisions may occur after the delivery date.
Review your data and goals
I confirm your dataset, clarify the business context, and make sure the scope aligns with what you need.
Explore and prepare the data
I clean, organize, and check the data so the forecast is based on solid inputs.