Emmanuel Nyong

From Manual Chaos to Automated Growth.

I specialize in turning your most frustrating, time-consuming processes into efficient, automated workflows. By connecting your essential tools and APIs, I build solutions that save time, eliminate errors, and power your business forward.

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My Approach to Integration

Technology should be an enabler, not a bottleneck. My goal is to understand the human-side of a problem first, then build a robust, invisible solution that empowers people to do their best work.

Diagnose the Pain Point

I start by identifying the core frustration or inefficiency in a workflow. What is wasting time and energy?

Architect a Solution

I design a logical, scalable system that connects the necessary tools and APIs to solve the specific problem.

Build for Reliability

My workflows are built with comprehensive error handling to ensure they are dependable and business-ready.

Empower the User

The final result is a seamless process that frees up people to focus on what truly matters.

Case Studies

Demonstrating automation solutions across diverse industries.

The Pain Point

Staff were overwhelmed with manually following up with new members. The process was slow and error-prone, leading to a disconnected experience for newcomers.

My Solution

I designed a "set-it-and-forget-it" automated workflow using n8n that manages the entire new member journey, ensuring timely, personalized communication.

95%

Reduction in Manual Work

100%

Consistent Follow-up Rate

Interactive Workflow Diagram

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Trigger: New Member

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Immediate Welcome

⏳

Timed Follow-ups

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AI Leader Briefing

Select a workflow step above to learn more.

The Pain Point

Real estate agents were losing valuable leads because they couldn't respond to inquiries instantly. Manually qualifying every lead was also a major time drain, preventing them from focusing on closing deals.

My Solution

I built an AI-powered agent that integrates with WhatsApp and SMS. It provides 24/7 instant responses, asks key qualifying questions (budget, location, etc.), and automatically schedules viewings on the agent's calendar.

100%

Instant Response Rate

50%

Less Time Qualifying Leads

The Pain Point

A cleaning company using Shopify for bookings was struggling with manual job assignments. This chaos led to scheduling conflicts, communication breakdowns, and wasted time coordinating with their cleaning staff.

My Solution

I created an automation that triggers on new Shopify orders. It checks staff availability in a shared Google Calendar, assigns the job to the nearest cleaner, and sends all job details instantly via a centralized team chat.

99%

Automated Job Assignments

0

Double-Bookings

The Pain Point

Restaurant managers were losing revenue to last-minute cancellations and costly "no-shows." Constant phone calls for reservations were disruptive, leading to overbooking errors and an unreliable booking system.

My Solution

I developed an automated reservation system that captures bookings 24/7. It sends automated SMS/WhatsApp reminders to customers—drastically reducing no-shows—and manages a digital waitlist to instantly fill cancelled spots.

40%

Reduction in No-Shows

15%

Increase in Mid-Week Bookings

The Pain Point

Insurance agents were buried in paperwork and manual data entry, spending more time on admin than on advising clients. The slow process of generating quotes and following up on leads meant potential customers were lost to faster competitors.

My Solution

I built an integration that connects their website's lead form directly to a CRM. It instantly qualifies new leads, generates a preliminary quote via email, and assigns high-potential leads to an agent for a personal call within minutes.

8x

Faster Lead Response Time

25%

More Quotes Sent Weekly

Community Leadership & Learning

My passion for technology goes beyond my work. I believe in empowering others and am constantly exploring the future of automation and AI.

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Community Lead, Safock AI (Côte d'Ivoire)

As the local ambassador for Safock AI, I am dedicated to building a community of developers and enthusiasts in Côte d'Ivoire. I help organize events and share knowledge about the power of AI and automation, fostering innovation and growth in our local tech ecosystem.

My Code

A tangible example of my ability to write clean, functional code to interact with APIs.

Python API Integration Script

This simple Python script demonstrates a core integration task: fetching data from two different public APIs (OpenWeatherMap for weather and Quotable for quotes) and presenting it. This showcases proficiency in making HTTP requests, handling JSON data, and managing API keys.

View on GitHub
# Simple script to demonstrate API integration. import requests def get_weather(api_key, city): """Fetches current weather from OpenWeatherMap API.""" url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric" try: response = requests.get(url) response.raise_for_status() data = response.json() temp = data['main']['temp'] desc = data['weather'][0]['description'] print(f"Weather in {city}: {temp}°C, {desc}") except requests.exceptions.RequestException as e: print(f"Error fetching weather: {e}") def get_quote(): """Fetches a random quote from Quotable API.""" url = "https://api.quotable.io/random" try: response = requests.get(url) response.raise_for_status() data = response.json() print(f"Quote: '{data['content']}' - {data['author']}") except requests.exceptions.RequestException as e: print(f"Error fetching quote: {e}") # --- Main Execution --- if __name__ == "__main__": OWM_KEY = 'YOUR_API_KEY' # Replace with your key get_weather(OWM_KEY, 'Abidjan') get_quote()