Drug-Target Prediction
Machine learning methods for detecting drug-target interactions and supporting more precise drug discovery workflows.
Technical Support & Data Professional
Manasvi Patel
MSc Computer Science graduate skilled in Python, SQL, networking, and machine learning — with hands-on experience in technical support and applied research.
Skills
A practical toolkit spanning Python, machine learning, web apps, networking, and support.
Languages & Data
Python, SQL, HTML, CSS, data analysis, and scripting for technical workflows
Machine Learning & Vision
Deep learning, computer vision, OpenCV, PCA, model training, and evaluation pipelines
Web & Applications
Django, web application technologies, responsive interfaces, and API-driven workflows
Support & Networking
Technical support, networking fundamentals, Cisco Packet Tracer, and systems troubleshooting
Research
Interests at the intersection of applied ML and real-world systems.
Agricultural Computer Vision
Deep learning for image-based crop disease detection, with automated training and testing for scalable experimentation.
Public Health Vision Systems
Computer vision modules for mask detection, social distancing monitoring, and face recognition under real-world constraints.
Projects
Selected research and applied builds from machine learning and computer vision work.
Python · Machine Learning
Drug-Target Prediction for Pancreatic Cancer
Researched and implemented machine learning techniques to detect drug-target interactions, optimizing algorithms to identify potential targets and support more efficient drug discovery.
Deep Learning · Computer Vision
Crop Disease Detection
Designed deep learning models for image-based crop disease detection, processing and transforming datasets with Python libraries and automating training and testing workflows.
OpenCV · PCA · Deep Learning
Covid Precaution System
Built a computer vision system with three modules: real-time mask detection with OpenCV, social distancing monitoring from CCTV footage, and mask-on face recognition using PCA.
Contact
Open to technical support, data, machine learning, and software opportunities.
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