You will get AI/ML solutions that uncover data insights, boosting efficiency and growth.
Project details
This AI-powered customer retention project stands out by combining advanced machine learning algorithms with personalized engagement strategies to proactively reduce customer churn. With a focus on high predictive accuracy and data-driven insights, the solution enables businesses to identify at-risk customers early and deliver targeted, automated retention interventions. What sets this project apart is the integration of real-time customer data and continuous optimization, ensuring adaptability to evolving customer behaviors and sustained business growth. Leveraging 25 years of expertise in AI and data science, I bring a deep understanding of data architectures, ensuring a seamless and scalable solution that delivers measurable results.
Machine Learning Tools
Apache Spark, Azure Machine Learning, BERT, ChatGPT, Databricks MLflow, GitHub Copilot, Google Data Studio, Microsoft Power BI, MLflow, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, Tableau, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$5,000
|
Standard
$7,980
|
Advanced
$14,000
|
|---|---|---|---|
| Delivery Time | 20 days | 15 days | 10 days |
Number of Revisions | 3 | 5 | 8 |
Number of Model Variations | 5 | 8 | 12 |
Number of Scenarios | 3 | 7 | 10 |
Number of Graphs/Charts | 7 | 10 | 25 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,000 - $2,500
Additional Revision
+$1,000
Additional Model Variation
(+ 3 Days)
+$450
Additional Scenario
(+ 4 Days)
+$980
Additional Graph/Chart
(+ 1 Day)
+$120About Oladimeji
Expert AI & Data Architect
Lagos, Nigeria - 4:43 am local time
With 20+ years of experience across AI, data architecture, machine learning, PowerApps, Power BI, SQL, and business process automation, I design practical, scalable solutions used in:
- Finance & Pension Administration
- Insurance
- Manufacturing
- Healthcare
- Public Sector
- Technology & Startups
⭐ What I Can Do for You
✔ Build AI-driven process automation (sales, HR, finance, support)
✔ Create AI chatbots (website, WhatsApp, internal workflows)
✔ Develop Power BI dashboards with automated data refresh
✔ Build PowerApps solutions for HR, Finance, Risk & Operations
✔ Automate Excel → Power BI → SQL workflows
✔ Clean, transform and analyze datasets
✔ Build ML models (forecasting, classification, clustering)
✔ Set up data pipelines & ETL processes
✔ Write technical documentation, proposals, and solution designs
⭐ Why Clients Choose Me
- Strong communication and business understanding
- Fast turn-around and quality delivery
- Experience working with executives and non-technical clients
- Ability to translate business needs into technical solutions
- Enterprise-level architecture expertise
- 100% professionalism, confidentiality & reliability
⭐ Tech Stack
- AI: OpenAI, LangChain, Transformers, GPT apps, Small Language models
- Data: Postgres, MySQL, SQL Server, Power BI, pandas, ETL pipelines
- Automation: PowerApps, Power Automate, SharePoint
- Backend: Python, FastAPI, Django, ASP.Net
- CMS: WordPress and Drupal
- Cloud: Azure, AWS, Google Cloud
- Business Tools: Excel, PowerPoint, Visio
⭐ Let’s Build Something
If you need assistance with creating a dashboard, developing a workflow app, implementing AI automation, or transforming data into insights, I am here to help. I’m here to support you.
Send me a message, and let’s get started.
Steps for completing your project
After purchasing the project, send requirements so Oladimeji can start the project.
Delivery time starts when Oladimeji receives requirements from you.
Oladimeji works on your project following the steps below.
Revisions may occur after the delivery date.
Gather Requirements and Data
Collect customer data from CRM systems, transaction histories, feedback, and other sources. Clarify project goals, key metrics, and desired outcomes for churn prediction and retention strategies.
Data Preparation
Clean and preprocess the data to ensure accuracy and consistency. Perform feature engineering to create relevant variables for churn prediction (e.g., purchase frequency, engagement patterns).