You will get your favorite Data analytics and ML project on R Shiny Web App

Chukwudi .Status: Offline
Chukwudi . Chukwudi .
5.0
Top Rated

Let a pro handle the details

Buy Machine Learning services from Chukwudi, priced and ready to go.
Chukwudi .Status: Offline
Chukwudi . Chukwudi .
5.0
Top Rated

Let a pro handle the details

Buy Machine Learning services from Chukwudi, priced and ready to go.

Project details

The aim of the project is to carry out Clustering analysis of Countries Economical index. The project was built first on R and then deployed to R Shiny app. While working on this project, I explore data cleaning, filling of missing data, data visualizations, PCA analysis and Machine Learning K-mean Clustering. The results of the statistics and unsupervised clustering model was visualized on a World Map. Thus, from our analysis, we can classify countries with common economic index and this can help in stock prediction.
What's included
Service Tiers Starter
$120
Standard
$350
Advanced
$600
Delivery Time 3 days 7 days 14 days
Number of Revisions
236
Number of Model Variations
246
Number of Scenarios
123
Number of Graphs/Charts
4812
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$300 - $850
Additional Revision
+$50
Additional Model Variation (+ 1 Day)
+$50
Additional Scenario (+ 1 Day)
+$60
Additional Graph/Chart
+$10
Model Documentation (+ 1 Day)
+$60

Frequently asked questions

5.0
11 reviews
100% Complete
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)
1% Complete
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ST

Stephanie T.
5.00
Jan 15, 2026
Data Engineer for Automated Analytics Pipeline(EST, INDVIDUALS) Samuel is a fantastic developer. He always works professionally and is very solution-oriented. I highly recommend him and will definitely work with him again. Thanks for your great work and results, man!

II

Israel I.
5.00
Mar 20, 2025
Share SQL Related Stackoverflow Questions (Rate: $50/post)

RS

Ravi S.
5.00
Sep 1, 2024
Data ingestion and ML model in AWS glue

JT

Jade T.
5.00
Apr 24, 2024
DBT and BI reports analysis and creation Hello Samuel, thx the work on our data warehouse, dbt and metabase. It was a pleasure working with you. Closing the contract because the project is over. :).

LG

Louis G.
5.00
Sep 29, 2023
BigQuery & dbt Expert for Data Analytics Project Samuel showcased skill and diligence while working on our DBT project with BigQuery. His hard work greatly contributed to the project's success. Recommended, and I would hire again.
Chukwudi .Status: Offline

About Chukwudi

Chukwudi .Status: Offline
Data Engineer
100% Job Success
5.0  (11 reviews)
Ikorodu, Nigeria - 12:38 pm local time
A resourceful and data-driven professional with strong interpersonal skills and hands-on experience in Data Analysis, Data Engineering, Visualization, Machine learning, Object-Oriented Programming, and Data structure and algorithm.

Skilled in applying data analysis, data science, data engineering, and machine learning techniques such as statistical analysis, classification, regression models, building and deploying data pipelines, managing data warehouse and cloud infrastructures (GCP), and data visualization to generate insight to solve business problems cutting across growth, marketing, and product teams.

Framework tools: Python, MongoDB, MySQL, BigQuery, SnowFlake, GCP, DBT, FiveTran, Metabase, Mixpanel, Power BI, Tableau, Google Data Studio, Apache Airflow, Amazon WorkSpace

Therefore, feel free to contact me anytime to help in the analysis of your data and get the best quality of work

Thanks.

Steps for completing your project

After purchasing the project, send requirements so Chukwudi can start the project.

Delivery time starts when Chukwudi receives requirements from you.

Chukwudi works on your project following the steps below.

Revisions may occur after the delivery date.

Getting the dataset and EDA

Performing Expository and Descriptive Analysis in a bid to understand the dataset. I will make use of charts, plots, heatmaps and statistics interpretation on the dataset.

Clustering Analysis and PCA

Exploring the clustering analysis using K-mean, determine the best number of clusters based on selected features. Embark on Principal Component Analysis to determine the features with respect to the explained variance of each principal component.

Review the work, release payment, and leave feedback to Chukwudi.