You will get FMCG review presentation from cleaned, KPI-driven data with visuals.
Project details
a concise FMCG review PowerPoint presentation based on KPI-driven data. Meticulously collected, cleaned, and modeled the data, resulting in insightful visualizations. This comprehensive presentation offers a clear overview of key performance indicators within the FMCG sector, providing valuable insights for decision-makers.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 4 days |
Number of Revisions | 3 | 3 | 3 |
Number of Pages Mined/Scraped | 3 | 50 | 70 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $1,000
Additional Revision
+$100
Additional Page Mined/Scraped
(+ 2 Days)
+$300
Additional Source Mined/Scraped
(+ 1 Day)
+$200About Abraham
Software Developer | Operations Analyst
Nairobi, Kenya - 3:40 am local time
Current Business analyst, Former Network Engineer and recipient of a BSc. Possessing strong technical skills rooted in IT as an IT
specialist
HARD SKILLS include:
Math (statistics and probability),
Logic and analysis,
Relational databases (MySQL),
Problem-solving and troubleshooting,
Pattern and trend identification,
Data mining and data QA,
Database design and management,
SharePoint and advanced Microsoft , Excel functions,
Tableau and Qlik
Business intelligence (BI),
Programming languages( python, R, VB..),
Risk management,
System administration,
Quantitative methods,
Data warehousing,
Regression analysis,
Data science research methods,
Experimental design & analysis,
Tech support &
Survey creation
Steps for completing your project
After purchasing the project, send requirements so Abraham can start the project.
Delivery time starts when Abraham receives requirements from you.
Abraham works on your project following the steps below.
Revisions may occur after the delivery date.
get data from whatever source
involves but is not limited to online dumps ofline files shared via email drop box etc, scraped data
clean up, normalize etc
boosts data hygiene