Suhaina Z
@suhainag
I build data-driven machine learning, business intelligence, and AI web solutions.
What I'm looking for
At ISRO's Space Applications Centre, I analyzed hyper-spectral vegetation indices and built a Random Forest model for nitrogen and irrigation-level classification in precision agriculture.
I've developed AI-powered applications including a CCTV footage analyzer using YOLOv8, AssemblyAI, GPT-4o, Flask, and OpenCV. I also built donor management, crime-analysis, and internship recommendation platforms that combine machine learning, dashboards, and responsive web interfaces.
I'm a Computer Science and Engineering (Data Science) graduate who enjoys turning datasets into practical dashboards, predictions, and user-focused applications. My work spans Python, SQL, Power BI, Tableau, machine learning, and full-stack web development.
Experience
Work history, roles, and key accomplishments
Research Project Trainee
Space Applications Centre (SAC), ISRO
Feb 2026 - May 2026 (3 months)
Developed machine learning models for hyper-spectral data analysis, focusing on vegetation index-based classification of nitrogen and irrigation levels. Performed preprocessing, feature engineering, and evaluated Random Forest classification for precision agriculture.
Education
Degrees, certifications, and relevant coursework
Adichunchanagiri Institute of Technology
Bachelor of Engineering, Computer Science and Engineering (Data Science)
2022 -
Grade: 7.10/10
Pursuing a Bachelor of Engineering in Computer Science and Engineering with a focus on Data Science, achieving a CGPA of 7.10/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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