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AI Engineer with less than a year in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Business Systems Engineering graduate with a strong foundation in Python, data analysis, and problem-solving skills. Enthusiastic about learning new technologies, working on innovative projects, and contributing to organizational growth through technical and analytical abilities.
Canara Engineering College
Bachelor of Engineering · Computer Science and Business System
August 1, 2022 – June 30, 2026
Durga Higher Secondary School, Hosdurg Kanhangad
PUC
June 1, 2020 – May 31, 2022
Durga Higher Secondary School, Hosdurg Kanhangad
SSLC
June 1, 2020 – May 31, 2020
Gleamator Technologies
Applied AI Intern
January 1, 2026 – Present
India
E-Commerce Sales & Customer Behaviour Analytics System
January 1, 2026 – Present
Analyzed e-commerce sales datasets using Python, Pandas, and NumPy. Performed data preprocessing and visualization for customer behaviour analysis. Used SQL and MySQL to extract insights and analyze sales trends. Built Power BI dashboards with KPI cards, charts, and business reports. Visualized sales trends using Matplotlib and Seaborn.
AGRO TECH: AI-Powered Secure Farmer Assistance Application
January 1, 2025 – Present
Designed and developed a cross-platform Flutter application to assist farmers with AI-powered agricultural guidance. Integrated Google Gemini API for crop disease identification and treatment recommendations using image-based analysis. Built a secure serverless backend using Node.js and Vercel Functions to safeguard API keys and handle requests. Implemented multilingual support and offline Text-to-Speech functionality to improve accessibility for rural users. Added real-time weather forecasting, government scheme discovery, and AI-driven crop planning modules.
Front End Development
OneRoadMap
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a willingness to tackle real-world problems (e-commerce analytics, farmer assistance). The AGRO TECH project, in particular, shows an interest in impactful AI applications and user accessibility (multilingual, offline TTS). The breadth of skills across data analysis, AI/ML, and full-stack development (Flutter, Node.js) suggests adaptability. However, the experience level is very junior, which might require significant mentorship to align with senior-level expectations.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse tasks, from data analysis to application development and API integration. The internship experience suggests collaboration and problem-solving skills. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.