Amith Naglapura
I build data-driven solutions.
As a passionate technologist, I specialize in data analysis and creating data-driven applications. My expertise lies in transforming complex data into actionable insights and engineering solutions that bridge the gap between hardware and software.
About Me
Hi, I’m Amith!
I’m pursuing my MSc in Artificial Intelligence in Business at Queen’s University Belfast, where I explore how advanced AI technologies can solve real-world business challenges and drive innovation. Originally from Mysore, India, I hold a Bachelor of Engineering in Electronics and Communication from Vidyavardhaka College of Engineering. Starting with a foundation in hardware systems, my curiosity for the data behind them led me into data analysis and machine learning. Today, I combine my problem-solving skills and technical expertise to help businesses make smarter, data-driven decisions and turn ideas into lasting value.
Education
Master of Science
Queen's University Belfast
AI In Business | 2025 - 2026
Bachelor of Engineering
Vidyavardhaka College of Engineering
Electronics & Communication | 2020 - 2024
Professional Skillset
Technical Skills
- Data Analysis
- Machine Learning
- Tableau
- SQL
- Python
- Embedded C, C++
- R
- HTML & CSS
Professional Skills
- Problem Solving
- Project Management
- Business Analysis
- Leadership
- Communication
- Time Management
Professional Experience
Technical Analyst
Proofile.in
Analyzed user engagement data using SQL to identify key trends and KPIs. Built interactive dashboards in Tableau and Power BI, presented data-driven insights to management, and collaborated on A/B testing to improve platform features.
Full-Stack Web Developer
Freelance
Developed scalable full-stack applications for clients using Python, Go, React, and Kubernetes. Engineered an AI-powered Applicant Tracking System (ATS), showcasing skills in AI integration and automation, and implemented DevSecOps and CI/CD pipelines.
My Projects
Early Crop Disease Detection
Research Project
Designed a machine learning framework to identify crop diseases early, minimizing crop damage and optimizing yield for better agricultural productivity.
Crack Detection in Pipelines
Engineering Project
Utilized advanced sensors and machine learning for the accurate, non-invasive detection of cracks in industrial pipelines.
Tableau Visualizations
Explore my collection of interactive dashboards covering sales, trends, and more.
Publications
Machine Learning Framework for Early Detection of Crop Disease
International Journal for Multidisciplinary Research (IJFMR) · May 2024
A comprehensive study on utilizing computer vision and predictive modeling to detect agricultural diseases at nascent stages.
Read PaperGet In Touch
I'm actively seeking roles where I can leverage my data analysis skills. You can reach out via email, and if you have any questions, feel free to ask my AI assistant!