You will get Cleaned datasets, insightful analysis, and predictive models
Project details
You will get a complete data science solution powered by RapidMiner, tailored to your business needs. I specialize in transforming raw datasets into actionable insights through data cleaning, predictive modeling, and visualization. What sets this project apart is my ability to combine technical expertise with clear communication, ensuring you not only receive accurate models but also understand how they drive impact. With experience in Python, SQL, and RapidMiner workflows, I deliver reliable, scalable, and high‑quality results that help organizations make smarter decisions and improve efficiency
Machine Learning Tools
Python, RapidMiner, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 6 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Daniel
Data Engineer
Karatina, Kenya - 2:45 am local time
Data Analyst | Power BI | SQL | Python | Excel | Google Sheets
$13.00–$25.00/hr
Overview
Early-career Data Analyst with 2+ years of hands-on experience in analyzing and visualizing data to solve real-world business problems. Proficient in Power BI, Python, SQL, Excel, and Google Sheets, with additional experience using tools like Seaborn, Matplotlib, and Plotly. My work focuses on delivering actionable insights to stakeholders and improving decision-making through clean, accurate data.
My domain experience spans sales, customer service, academic platforms, and NGO/impact-driven work, with contributions to projects that have achieved measurable business results—such as a 30% increase in sales at Menengai Oil Refineries through customer segmentation insights.
Key Projects & Contributions
Sales Insight Dashboard: Helped Menengai Oil Refineries identify high-value customers using Python and Excel analytics, boosting sales revenue by 30% in 6 months.
Customer Support Chatbot: Designed and deployed a chatbot for Menengai’s customer care team, improving response time and client satisfaction.
Academic Web Platform Analytics: Built a Django-based platform for student material access with backend analytics for usage and resource tracking.
Data Cleaning & Visualization: Conducted exploratory data analysis (EDA), data validation, and visual storytelling using Seaborn and Matplotlib to support business reporting.
Automated Reporting Tools: Created Excel dashboards and semi-automated templates for tracking performance metrics and monitoring data quality.
Technical Skills
Programming & Scripting: Python (Pandas, NumPy, Seaborn), SQL, Excel (Pivot Tables, VLOOKUP, Macros)
Data Visualization: Power BI, Excel Dashboards, Matplotlib, Plotly
Tools & Platforms: Google Sheets, Jupyter Notebook, VS Code, Git
Other: Web development (HTML/CSS/JS), Django (for data-driven apps)
Certifications
Data Analyst Professional Certificate – DataCamp
ITIL Foundation Certificate in IT Service Management – Alison
Power BI Fundamentals – (in progress or planned, if applicable)
Achievements
Designed and implemented multiple dashboards and reports for sales and education projects with clear ROI.
Participated in Kaggle and DataCamp competitions to strengthen data science and machine learning skills.
Contributed to projects that bridge data and social impact, such as workforce training and education.
Steps for completing your project
After purchasing the project, send requirements so Daniel can start the project.
Delivery time starts when Daniel receives requirements from you.
Daniel works on your project following the steps below.
Revisions may occur after the delivery date.
Build and test predictive models or analysis workflows.
Generate charts, reports, and documentation based on client needs.