Dare Isaac Ishola

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.

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

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.

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%