Dare Isaac Ishola
WorldQuant University
Nigeria
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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.
Experience
Omdena Project - Smart Farming Using AI-Kano Chapter
Data Scientist
April 2025
Led model development and training for a collaborative project applying AI to enhance agricultural practices in Kano State, Nigeria.
Designed and implemented a precipitation prediction model tailored for three agricultural zones in Kano, using time series and geospatial data.
Integrated multiple team models into a unified module suitable for deployment via Streamlit, enhancing accessibility and usability for stakeholders.
Collaborated cross-functionally with data science professionals, contributing to research, data preparation, and model evaluation for sustainable farming solutions.
Delivered technical presentations to stakeholders, explaining model architecture, performance metrics, and real-world implications for precision agriculture.
Omdena Local Project
Lead Model Development and Model Training
February 2025 - May 2025
Led model development and training for a collaborative project
applying AI to enhance agricultural practices in Kano State, Nigeria.
• Designed and implemented a precipitation prediction model tailored
for three agricultural zones in Kano, using time series and geospatial
data.
• Integrated multiple team models into a unified module suitable for
deployment via Streamlit, enhancing accessibility and usability for
stakeholders.
• Collaborated cross-functionally with data science professionals,
contributing to research, data preparation, and model evaluation for
sustainable farming solutions.
• Delivered technical presentations to stakeholders, explaining model
architecture, performance metrics, and real-world implications for
Omdena Flood Prediction and Management
Lead Data Scientist
January 2025 - March 2025
Spearheaded the data cleaning, exploratory analysis, and preprocessing efforts for a flood prediction project aimed at enhancing disaster preparedness.
Coordinated a multidisciplinary team of data scientists, defining task pipelines and ensuring high-quality, consistent datasets for modeling.
Conducted in-depth analysis of environmental and hydrological data, uncovering key patterns and risk zones critical for flood forecasting.
Developed and presented compelling data visualizations that communicated complex insights to both technical teams and non-technical stakeholders.
Contributed to the strategic direction of the project by transforming raw data into actionable insights that informed model development and local mitigation strategies.
Green Chariot Investment
Production/Operation Manager
June 2016 - March 2024
Planning and organizing production schedule
Supervise production processes and control
Resolve quality issues arising from customer’s feedback
Organize relevant training to boost staff productivity
Optimization of production process that has led to 35% increase in production capacity and 15% waste reduction
Improved equipment maintenance and safety standards by 10%, which resulted in a 40% reduction in maintenance costs
Recruited paid staff members within budget to ensure production targets were met
Attended and attributed immensely to executive committee meetings, leading to the adoption of an action plan by the board.
Managed the work of over fifty employees, increasing crew efficiency by 50%
Education

Data Science
WorldQuant University (WQU)
Graduated in 2024
Certificates & Badges
No certificates or badges added
Projects
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
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