Samuel Arku-Laryea
Digital Strategist | AI Advocate | Data-Driven Problem Solver | Founder of FarmAssist AI
I’m a visionary builder at the intersection of digital marketing, AI, and data science—with 20+ years of experience transforming complexity into clarity. I thrive where strategy meets innovation.
📍Founder of FarmAssist AI – an AI-powered mobile advisory system empowering smallholder farmers with real-time, tailored agricultural insights.
🎯 Certified in Digital Marketing, Artificial Intelligence, Strategic Communication & Advanced Data Analytics
📈 Currently deepening my data science journey with ALX
I’m passionate about using technology to drive equity, efficiency, and economic growth across Africa. Let’s build legacy solutions—together.
🔍 Seeking: Collaborators | Investors | Gov/NGO Partnerships
🌱 Mission: Improve farm productivity. Fuel local economies. Strengthen global food systems.
Excellence isn’t just born—it’s built. And I’m here to build it with you.
SQL EXAM - TMDB.db (Question 11-15)
SQL EXAM - TMDB.db (Question 6-10)
SQL EXAM - TMDB.db (Question 1-5)
7 - Maji Ndogo part 3
5 - Maji Ndogo part 3
6 - Maji Ndogo part 3
4 - Maji Ndogo part 3
3 - Maji Ndogo part 3
2 - Maji Ndogo part 3
1 - Maji Ndogo part 3
13 - Maji Ndogo. Q5 -
12 - Maji Ndogo. Q5 -
11 - Maji Ndogo. Q5 -
10 - Maji Ndogo. Q5 -
9 - Maji Ndogo. Q5 - AND and OR in SQL. results=Clean% biological greater than 0.01
1-STEP-BY-STEP MCQ - Integrated Projects: Maji Ndogo Part 1. Approach to scoring 100%
8 - Maji Ndogo. Q5 - AND in SQL. results=Clean% biological greater than 0.01
7 - Maji Ndogo. Q4 & Q5 - COUNT and AND in SQL. quality_score=10 & visit_count=2, results=Clean etc
6- Maji Ndogo. Q3-Retrieve Records Where time_in_queue is more than 500. Part 2 SQL conditional
5 - Maji Ndogo. Q3-Retrieve Records Where time_in_queue is more than 500. SQL CONDITIONAL statements
4 - Maji Ndogo, Q2- Finding All Unique Water_Source
3 - Maji Ndogo, PRIMARY KEYS and FOREIGN KEYS. Understanding your TABLES
2- Maji Ndogo Project, USE md_water_services. No. and names of tables
1- Maji Ndogo Project, Download, extract, and import SCHEMA md_water_services.
14B- IFERROR. Correcting wrong cell range referencing
22 - PIVOT TABLE, Add Value and set to average in Google Sheets and creating a chart
21 - PIVOT TABLE, countries per region, ARC_n per region, ARC_r per region and ARC_u per region
20 - VLOOKUP breakdown. Countries and their regions
19 - INSERT CHART and Histogram, IMPORT region.csv file into new sheet in Google Sheets
18 - IFERROR and ABS functions. ARC_diff calculations in Google Sheets