You will get Jupyter Notebook, Machine learning models
Project details
Stop losing customers before it's too late. I build machine learning models that predict which customers are at risk of churning - so you can take action before they leave.
With 5+ years analyzing customer portfolios worth KES 450B in banking, I understand how to turn data into retention strategies that actually work. I recently formalized my expertise with intensive data science training, combining business acumen with cutting-edge ML techniques.
What you'll get:
🔸Accurate churn prediction model (tested with multiple algorithms).
🔸Clear identification of your highest-risk customers.
🔸Data-driven insights showing WHY customers leave.
🔸Actionable recommendations for retention strategies.
🔸Easy-to-understand visualizations for stakeholder presentations.
My approach:
I don't just build models - I deliver business solutions. You'll understand exactly which factors drive churn in YOUR business, and get practical strategies to reduce it. Whether you need a quick analysis or a production-ready system, I tailor the work to your needs.
Let's turn your churn problem into a competitive advantage.
With 5+ years analyzing customer portfolios worth KES 450B in banking, I understand how to turn data into retention strategies that actually work. I recently formalized my expertise with intensive data science training, combining business acumen with cutting-edge ML techniques.
What you'll get:
🔸Accurate churn prediction model (tested with multiple algorithms).
🔸Clear identification of your highest-risk customers.
🔸Data-driven insights showing WHY customers leave.
🔸Actionable recommendations for retention strategies.
🔸Easy-to-understand visualizations for stakeholder presentations.
My approach:
I don't just build models - I deliver business solutions. You'll understand exactly which factors drive churn in YOUR business, and get practical strategies to reduce it. Whether you need a quick analysis or a production-ready system, I tailor the work to your needs.
Let's turn your churn problem into a competitive advantage.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| 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 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Priscilla
Data Scientist |Machine Learning| Turning data into business insights.
Nairobi, Kenya - 8:13 am local time
Skills:
🔹 Machine Learning & AI: Predictive modeling (XGBoost, Random Forest, Gradient Boosting, Decision Trees, K-NN, SVM), classification (Logistic Regression, Naive Bayes), regression analysis, clustering, recommendation systems (collaborative & content-based filtering), sentiment analysis (SpaCy, NLP).
🔹 Programming & Development: Python, Google Colab, Jupyter Notebook, Git & GitHub.
🔹 Data Management: SQL, MySQL, database design and optimization.
🔹 Visualization & Reporting: Python (Matplotlib, Seaborn), Power BI, interactive dashboards.
🔹 Deployment & Production: Streamlit, Flask for web applications.
What I Deliver:
1. Data Cleaning & Preparation - Transform messy datasets into analysis-ready formats through systematic cleaning and preprocessing.
2. Deep Exploratory Analysis - Uncover hidden patterns and insights in your data through statistical analysis and compelling visualizations.
3. Predictive Models - From real estate price forecasting to customer behavior prediction, I create accurate models that give you competitive insights.
4. Recommendation Systems - Boost engagement and sales with personalized recommendation engines using both collaborative and content-based approaches.
5. Customer Sentiment Analysis - Extract actionable insights from reviews, feedback, and social media using advanced NLP techniques.
6. Database Optimization - Design efficient database structures and write optimized SQL queries for better performance and scalability.
7. Production-Ready Solutions - Turn your models into interactive web applications using Streamlit, making complex analytics accessible to your team.
Ready to transform your data into strategic business insights? Let's connect and discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Priscilla can start the project.
Delivery time starts when Priscilla receives requirements from you.
Priscilla works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Exploration (1 day)
I'll review your dataset, check data quality, identify missing values, and understand the distribution of variables. You'll receive a brief summary of data health and any clarification questions.
Data Cleaning & Feature Engineering (1-2 days)
Clean the data, handle missing values, create relevant features (recency, frequency, monetary metrics), and prepare the dataset for modeling.