Farhaan Essop Ahmed

Geospatial Data Analyst | Large Scale Agritech

Agriculture

Stellenbosch, Cape Winelands District Municipality

Services offered

As a dedicated Geospatial Analyst and full-time consultant for Canal Sugar, I specialize in leveraging data analytics to address complex challenges in agricultural sustainability. With a degree in Geoinformatics from Stellenbosch University, I bring a strong foundation in geospatial technologies and data analysis to my work.

My primary focus is researching, designing, and implementing a data-driven irrigation scheduling model to optimize water and energy use for sugarbeet pivot systems in the Sahara Desert. This role demands innovative, practical, and robust solutions to multifaceted agricultural challenges. By integrating Machine Learning with ground-based and satellite datasets, I develop strategies to enhance water and energy efficiency while monitoring and quantifying field performance.

A key part of my work involves translating complex insights into clear, accessible formats for diverse audiences, fostering collaboration and informed decision-making. Passionate about sustainable agriculture and cutting-edge geospatial solutions, I’m committed to driving impactful outcomes in challenging environments.

📩 Open to connecting with professionals in geospatial analysis, agriculture, or sustainability—let’s explore how data can transform our world!

Agricultural optimization

Machine learning

Geospatial analyst

Data scientist

Data analysis

Approximate rate: ZARR 250 per hour

Experience

I am an experienced data scientist and geospatial analyst with over 3 years of expertise in developing machine learning solutions for agricultural optimisation and spatial analysis. I have a proven track record of building data-driven models using Python and TensorFlow to optimize resource allocation, including irrigation scheduling systems that I developed to reduce water and energy usage for large-scale agricultural operations. I am skilled in integrating remote sensing data with statistical modeling techniques to create predictive analytics solutions, land cover classification systems, and operational efficiency models. I bring strong experience in cross-functional collaboration across international teams, having managed complex datasets, conducted statistical quality control, and translated analytical insights into actionable business solutions.

Education

Based on your educational background, here’s a coherent education summary written from your perspective and tailored for data science positions:

**Educational Background:**

I hold a Bachelor of Science in Geoinformatics with Computer Science and Information Systems from Stellenbosch University (2018-2022), where I developed a strong foundation in spatial data analysis, programming, and statistical methods. My interdisciplinary education combined geospatial technologies with computer science principles, equipping me with expertise in Python programming, remote sensing, project management, and creative problem-solving. I completed advanced coursework in Computer Science as part of my dual-degree program, strengthening my technical programming skills and analytical thinking capabilities. This educational foundation has been instrumental in my ability to integrate spatial analysis with machine learning techniques and develop data-driven solutions for complex real-world problems. My academic experience includes leadership roles as a Simonsberg Resident and certificates from Dale Carnegie and Toastmasters, demonstrating my collaborative skills and ability to work effectively in team environments.