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#Ethiopia

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Data Manipulation with Numpy in Amharic Part I

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Data Manipulation with Numpy in Amharic

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https://youtu.be/njj6WTGrmJk

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🚀 Transforming Ethiopian Telegram E-Commerce with LLMs 🌍
https://www.linkedin.com/feed/update/urn:li:activity:7250769167136481280/

Day 1: Introduction to the Challenge
📢 Day 1/100: The Journey Begins!
I'm embarking on a 100-day challenge to share insights, progress, and lessons learned as I build a data-driven credit scoring model tailored for Buy-Now-Pay-Later (BNPL) services in Ethiopia's fintech space. 🚀

Why this topic? BNPL is reshaping financial inclusion, and robust credit scoring is the backbone of sustainable lending. Follow along as I explore data, algorithms, and strategies to make this happen!

hashtag#Fintech hashtag#DataScience hashtag#CreditScoring hashtag#BNPL hashtag#FinancialInclusion hashtag#Ethiopia hashtag#100DaysChallenge

📢 Day 2/100: Why BNPL in Ethiopia?



BNPL services have huge potential in Ethiopia, a country with growing digital adoption but limited formal credit access. 🛒💳

Key points I'll focus on:

1️⃣ Addressing financial inclusion.

2️⃣ Navigating unique local challenges (e.g., data availability).

3️⃣ Leveraging tech for scalability.



What do you think are the biggest opportunities for BNPL in emerging markets?



#BNPL #EmergingMarkets #FintechInnovation #DigitalFinance #Ethiopia #FinancialInclusion

📢 Day 4/100: The Role of Data in Credit Scoring

Data is the fuel for any credit scoring engine. 🔍

However, in Ethiopia, traditional credit data is scarce.

Today, I'll dive into:

Types of alternative data (e.g., mobile money, e-commerce behavior).

Ethical challenges in data collection.

I plan to build a framework that respects privacy while being effective.

#DataDriven #CreditScoring #AlternativeData #Fintech #EthicalAI #Ethiopia

📢Day 5/100: Understanding Ethiopian Fintech

Ethiopia's fintech ecosystem is a mix of challenges and opportunities. 📈🌍

From low formal banking penetration to an increasingly digital population, it’s clear that innovation in financial services is critical.

Key insights from my research today:

1️⃣ Low banking penetration but high mobile adoption: Over 75% of transactions are cash-based, yet mobile payment systems like Telebirr are gaining traction.

2️⃣ Regulatory frameworks: Ethiopia’s regulatory approach emphasizes financial inclusion but poses innovation challenges, especially for BNPL services.

3️⃣ Unique consumer behaviors: Ethiopians' dominance of informal financial systems and cash reliance shape their engagement with digital financial services.

💡 Question of the day: How can fintech drive financial literacy in Ethiopia to accelerate digital adoption?

#FintechAfrica #Ethiopia #BNPL #FinancialLiteracy #DigitalTransformation

📢Day 7/100: Tackling Data Availability in Ethiopia

Building a credit scoring model in Ethiopia has challenges, especially regarding data. 📊

Key hurdles I’m exploring:

1️⃣ Data scarcity: Formal credit histories are rare, but eCommerce and mobile money data offer untapped potential.

2️⃣ Local partnerships: Collaborating with fintechs to access anonymized transaction data.

3️⃣ Privacy compliance: Ensuring data protection laws are adhered to while innovating responsibly.

💡 Question of the day: Are there alternative sources of financial data that have worked well in other emerging markets?

#DataChallenges #Ethiopia #FintechInnovation #AlternativeData #PrivacyByDesign

📢Day 15/100: The Rise of Telegram E-Commerce in Ethiopia

Telegram is transforming e-commerce in Ethiopia, but its fragmented nature poses challenges. Vendors operate in silos, and customers struggle to navigate multiple channels.



EthioMart's Vision:



We aim to create a centralized platform aggregating data from Telegram channels, simplifying product discovery for customers and enhancing visibility for vendors.



💡 Question of the day: How can centralized platforms improve Ethiopia’s digital shopping experience?





#Ethiopia #ECommerce #DigitalTransformation #Telegram #FintechInnovation

📢Day 18/100: Labeling Amharic Text for NER

Labeling Amharic text for Named Entity Recognition is no small task.

Our algorithm identifies:

Prices using patterns like "ብር" (currency).

Locations from a predefined list.

Products through contextual analysis.

💡 Example: "ዋጋ 4800 ብር" -> "B-PRICE I-PRICE I-PRICE"

💡 Discussion: How can we simplify labeling entities in low-resource languages?

#NER #Amharic #DataLabeling #Ethiopia

📢𝗗𝗮𝘆 𝟮𝟭/𝟭𝟬𝟬: 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗔𝗺𝗵𝗮𝗿𝗶𝗰 𝗡𝗘𝗥 𝗠𝗼𝗱𝗲𝗹𝘀

I fine-tuned models on 27,989 labeled examples, optimizing key parameters:

- Learning rate: Experimented to find the sweet spot.

- Batch size: Limited to 16 to manage memory constraints.

- Metrics: Focused on precision, recall, and F1-score.



💡 Finding: Smaller batches helped balance performance and computational efficiency.

💡 Question: How do you optimize parameters for low-resource NLP tasks?

#AI #ModelTraining #Ethiopia #NLP

📢𝘿𝙖𝙮 22/100: 𝙏𝙝𝙚 𝙑𝙖𝙡𝙪𝙚 𝙤𝙛 𝘾𝙚𝙣𝙩𝙧𝙖𝙡𝙞𝙯𝙚𝙙 𝘿𝙖𝙩𝙖

Why is centralizing e-commerce data critical for Ethiopia?



- For vendors: Better visibility and reach.

- For customers: Streamlined product discovery.

- For analytics: Real-time insights into market trends.



💡 Question: What are the key challenges to centralizing data in emerging markets?

#ECommerce #DigitalTransformation #Ethiopia

🌟𝘿𝙖𝙮 25/100: 𝙐𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙𝙞𝙣𝙜 𝙀𝙩𝙝𝙞𝙤𝙥𝙞𝙖𝙣 𝙁𝙞𝙣𝙩𝙚𝙘𝙝 🌟



Ethiopia's fintech ecosystem is a mix of challenges and opportunities. 📈🌍

From low formal banking penetration to an increasingly digital population, it’s clear that innovation in financial services is critical.



Key insights from my research today:

- Low banking penetration but high mobile adoption: Over 75% of transactions are cash-based, yet mobile payment systems like Telebirr are gaining traction.

- Regulatory frameworks: Ethiopia’s regulatory approach emphasizes financial inclusion but poses innovation challenges, especially for Buy-Now-Pay-Later services.

- Unique consumer behaviors: The dominance of informal financial systems and cash reliance shapes how Ethiopians engage with digital financial services.



💡 Question of the day: How can fintech drive financial literacy in Ethiopia to accelerate digital adoption?



#FintechAfrica #Ethiopia #Buy-Now-Pay-Later #FinancialLiteracy #DigitalTransformation