You will get machine learning models for business predictions and data insights
Project details
Turn your business data into predictions and insights with custom machine learning models. I build practical ML solutions for real business problems: predicting customer churn, forecasting sales, classifying leads, detecting anomalies, or analyzing sentiment.
My approach:
→ Test multiple algorithms to find the best fit for your data
→ Validate predictions with industry-standard techniques
→ Explain results in business terms, not technical jargon
→ Identify the key factors influencing your outcomes
→ Provide actionable recommendations based on findings
Perfect for businesses with data who need to:
• Predict which customers will churn
• Forecast demand or sales trends
• Classify opportunities or risks
• Detect fraudulent transactions
• Analyze customer sentiment
• Optimize pricing or inventory
Deliverables include a Jupyter notebook with full code, visualizations showing model performance and insights, accuracy metrics, feature importance analysis, and business recommendations. Advanced tier includes production-ready deployment scripts.
My approach:
→ Test multiple algorithms to find the best fit for your data
→ Validate predictions with industry-standard techniques
→ Explain results in business terms, not technical jargon
→ Identify the key factors influencing your outcomes
→ Provide actionable recommendations based on findings
Perfect for businesses with data who need to:
• Predict which customers will churn
• Forecast demand or sales trends
• Classify opportunities or risks
• Detect fraudulent transactions
• Analyze customer sentiment
• Optimize pricing or inventory
Deliverables include a Jupyter notebook with full code, visualizations showing model performance and insights, accuracy metrics, feature importance analysis, and business recommendations. Advanced tier includes production-ready deployment scripts.
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Sonnet, Stata, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$120
|
Standard
$220
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 9 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 3 | 6 | 12 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $80
Monthly Model Retraining
(+ 1 Day)
+$50
Custom Dashboard Creation
+$80
Model Deployment Guide
+$80Frequently asked questions
About Alexy
Data Analyst
Saint-Etienne, France - 6:01 pm local time
I turn messy data into clear insights and publication-quality visualizations. Whether you need simple data cleaning, an in-depth analysis, an interactive dashboard, or a comprehensive report — I deliver results that drive decisions.
What I do:
→ Data cleaning & preparation (any format: CSV, Excel, SQL, APIs)
→ Exploratory data analysis & statistical insights
→ Clear, professional visualizations ready for presentations
→ Interactive dashboards (Streamlit, Python)
→ Machine learning for prediction & classification
My background spans complex, multi-modal datasets — tabular data, time series, imaging (video and microscope fluorescence based) , and ML pipelines. I've worked in research as a data analyst (computational neurosciences)
Tools: Python (pandas, matplotlib, seaborn, plotly), Jupyter, scikit-learn, TensorFlow, Streamlit, SQL, LightGBM, CatBoost, XGBoost, U-net, Resnet, Efficientnet, Excel.
Steps for completing your project
After purchasing the project, send requirements so Alexy can start the project.
Delivery time starts when Alexy receives requirements from you.
Alexy works on your project following the steps below.
Revisions may occur after the delivery date.
Data Exploration & Problem Definition
I'll analyze your dataset to understand patterns, check data quality, and confirm the business question is answerable with ML. You'll receive an initial assessment showing feasibility and approach recommendations.
Model Development & Testing
I'll build and test multiple ML algorithms (Random Forest, XGBoost, Neural Networks, etc.) to find the best performer. All models are validated using industry-standard techniques to ensure reliable predictions.