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Dare Isaac Ishola

WorldQuant University

Nigeria

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Hi, I'm Dare Isaac Ishola!

Data Scientist at Omdena Project - Smart Farming Using AI-Kano Chapter

I am a passionate data scientist and generative AI developer with a strong foundation in both traditional data workflows and cutting-edge machine learning techniques. With hands-on experience in data management and deep learning, I bridge the gap between business intelligence and AI innovation. Proficient in Python, SQL, and generative AI models, I have successfully led data science projects involving data gathering, wrangling, model development, and visualization to help organizations and individuals with problem solving. I combine this with a growing expertise in artificial intelligence—particularly in computer vision and generative models.

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Experience

Education

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Projects

Customer Segmentations using K-MEANS CLUSTERS

https://www.datascienceportfol.io/dareisholaisaac

Lead Data Scientist

•Built a RFM customer segmentation using K-Means clustering
•Used Microsoft Excel to prepare the data
•Cleaned and transformed data using Python
•Worked with data visualization tools like Seaborn and Plotly Express
Use of Project:
•Helps sales and marketing department to better understand their customers and their purchasing power
•It helped the sales team to know where to focus more
Conversational RAG System with Streamlit
SoyummyNg Customer Segmentation(K-MEANS Clustering)
• If actioned upon, it could help generate more income to the firm and establish a solid customer base
• Firm could make evidence

Conversational RAG System with Langchain

https://www.datascienceportfol.io/dareisholaisaac

Lead Developer

Built and deployed a document-based conversational AI using Streamlit, LangChain, and Pinecone.
•Enabled users to upload documents (PDF, DOCX, XLSX, TXT) and query them via an interactive chat
interface.
•Handled vector indexing, retrieval, and multi-format document parsing.
•Implemented CSV export of Q&A history and secure API key management.
•Overcame challenges in vector API integration, session handling, and real-time LLM response streaming.
Use Case:
The project showcases end-to-end skills in LLM orchestration, vector databases, front-end design for
AI applications, and secure deployment—a strong example of building real-world, agentic AI systems.

Languages

English

Professional

German

Intermediate

Yoruba

Native

Skills

Data Analytics

Machine Learning

Python

Artificial Intelligence Developer

Team Management

Statistics

Data Visualization

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