You will get Data analysis for big data

Project details
The steps of project is:
• Preprocessing
• Feature selection-Classification-Clustering-association rules
• Visualization
• Preprocessing
• Feature selection-Classification-Clustering-association rules
• Visualization
Machine Learning Tools
Microsoft Power BI, NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$20
|
Standard
$30
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 2 | 4 | 6 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Ben
Data Analyst | Python, SQL, Power BI | Banking & ML Experience
Isleworth, United Kingdom - 9:25 am local time
Experienced in processing, cleaning, and analyzing large datasets to uncover actionable insights. Applied predictive and prescriptive models to support strategic decision-making. Proposed measures that have contributed to increased sales and reduced operational costs.
I performed the following measures for some companies:
• Analyse enterprise-wide operational data, uncovering efficiencies that cut expenses by 18%.
• Engineer a Python-based predictive churn model, enabling targeted retention campaigns that reduced attrition by 15%
• Develop dynamic Power BI dashboards and governed data models, trimming data-extraction cycles by 20%
• Analyse large datasets using SQL and Tableau, uncovering insights that led to a 15% increase in operational efficiency.
• Provided insights through Tableau visualizations that led to a 20% reduction in cost overruns on projects.
• Synthesise market and customer-behaviour insights to pinpoint high-value segments, achieving 17% market-share growth and a 21% lift in engagement.
So let's start our collaboration as soon as possible.
Steps for completing your project
After purchasing the project, send requirements so Ben can start the project.
Delivery time starts when Ben receives requirements from you.
Ben works on your project following the steps below.
Revisions may occur after the delivery date.
Preprocessing
Manipulating dataset
Developing ML models
Based on client expectation: -Classification for developing predictive models -Clustering for divide dataset into similar groups -Association rules for extracting rules