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AI Engineer with less than a year in Machine Learning & Data Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst and AI/ML Engineer with hands-on experience in Machine Learning, Data Analytics, and Full Stack Development. Proficient in Python, SQL, Power BI, Scikit-Learn, TensorFlow, and Keras. Experienced with AI tools and technologies including LLMs (ChatGPT, Gemini), LangChain, Hugging Face Transformers, OpenAI API, and Google Colab. Built AI-driven projects including e-waste classification and crop disease prediction systems. Strong foundation in data preprocessing, model building, visualization, API integration, and prompt engineering.
Gandhi Engineering College, Bhubaneswar
Bachelor of Technology · Computer Science & Engineering
August 1, 2022 – Present
Kolhan Inter College Chalyama Dam
Intermediate · Science (PCMC)
June 1, 2020 – May 31, 2022
Edunet Foundation
AIML Intern
June 1, 2025 – July 1, 2025
India
Data Teach.AI
Machine Learning Intern
January 1, 2025 – March 1, 2025
India
E-Waste Generation Classification System
July 1, 2025 – Present
Addressed the growing challenge of unmanaged electronic waste by automating material categorization, enabling smarter recycling workflows and reducing manual sorting effort. Built an ML-based system comparing Logistic Regression, Random Forest, and CNN models for e-waste material classification and performance optimization. Applied preprocessing and feature engineering techniques to improve prediction accuracy and training efficiency.
View ProjectAI-Driven Crop Disease Prediction & Management System
March 1, 2025 – Present
Solved the problem of delayed crop disease diagnosis for farmers by providing instant AI-powered identification and actionable treatment recommendations via a web platform. Developed an AI-powered platform using CNN models with real-time prediction, chatbot support, multilingual interface, and weather alerts. Architected a full-stack solution with recommendation features and a nearby shop locator for farmers.
View ProjectArtificial Intelligence Fundamentals
IBM SkillsBuild
June 1, 2026 – Present
Introduction to Generative AI
Google Cloud
June 1, 2026 – Present
Data Science
Infosys Springboard
June 1, 2026 – Present
Introduction to Business Intelligence
Infosys Springboard
June 1, 2026 – Present
Python Bootcamp
LetsUpgrade
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying AI to solve real-world problems with social impact (e-waste, agriculture), which aligns with a proactive and problem-solving culture. The breadth of certifications and self-driven projects indicates a strong learning aptitude and initiative. The listed soft skills (teamwork, communication) suggest a potential for collaborative environments, but this needs validation.
Soft Skills & Operational Fit
The candidate lists communication, analytical thinking, teamwork, and time management as soft skills. The project descriptions indicate an ability to identify real-world problems and propose AI-driven solutions, suggesting problem-solving and analytical thinking. However, without direct interview data, the operational fit and depth of these soft skills cannot be fully assessed.