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AI Engineer with less than a year in AI & Data Science with 0.7 Years of internship experience in ML
B.Tech graduate in Artificial Intelligence and Data Science with hands-on experience building ML models, deep learning pipelines, and data dashboards.. Experienced in building Python-based ML models, conducting EDA, developing data-driven web applications using Flask and Streamlit, and applying basic Generative AI concepts. Passionate about sustainability-focused AI and real-world problem solving. Eager to assist senior team members, document work, and contribute to collaborative project delivery.
Achyuta Academy Matric Hr. Sec. School
HSC
N/A – May 31, 2022
Shri Gurumuki Vidhyasshram
SSLC
N/A – May 31, 2020
Ramco Institute of Technology
B.Tech · Artificial Intelligence and Data Science
N/A – June 30, 2026
Corizo
Machine Learning Intern
June 1, 2025 – August 1, 2025
India
Adroid Connectz (Online)
Data Science Intern
September 1, 2024 – October 1, 2024
New Delhi, Delhi, India
Technohack (Virtual)
AI Intern
October 1, 2023 – November 1, 2023
India
Toxic Comment Classifier
June 18, 2026 – Present
• Developed a multi-label text classifier to detect toxic comments using LSTM architecture on the Kaggle dataset. • Built a Streamlit web interface allowing users to input text and view real-time toxicity predictions. • Compared RNN, LSTM, and GRU performance; documented results and model evaluation metrics.
GreenCare AI – Crop Disease Detection
June 18, 2026 – Present
• Built an AI web app where farmers upload crop images to receive disease diagnoses via a trained CNN model deployed using Flask. • Created an interactive Streamlit dashboard to visualize prediction confidence scores and disease details. • Achieved ~90% classification accuracy; documented the full development process and presented findings to peers.
Carbon Tracing AI – Carbon Footprint Tracker
June 18, 2026 – Present
• Developed a web application that leverages machine learning to analyze and track carbon footprints, providing actionable insights for sustainable decision-making. • Built the backend using Flask and an interactive Streamlit dashboard to visualize carbon emission trends and reduction recommendations. • Applied regression and classification models to predict carbon output based on user activity data, helping users make greener choices.
Cryptocurrency Analytics Dashboard
June 18, 2026 – Present
• Analyzed crypto market data using Pandas; created an interactive Power BI dashboard tracking prices, volume, and trends for 10+ coins. • Delivered a report documenting methodology and insights using KPI cards, slicers, and trend charts.
Microsoft Power BI
ICT Academy
June 1, 2026 – Present
Data Science and Machine Learning
Udemy
June 1, 2026 – Present
Artificial Intelligence in Python
Udemy
June 1, 2026 – Present
Data Manipulation in Python
Udemy
June 1, 2026 – Present
EY Techathon 4.0
EY
June 1, 2026 – Present
Data Analytics Essentials
Cisco Networking Academy
June 1, 2026 – Present
Big Data 101
Cognitive Class.AI (IBM)
June 1, 2026 – Present
VINEGAR’26 International Conference on Computer Vision, NLP, and Edge Computing
Syed Ammal Engineering College
April 1, 2026 – Present
Crop Scout: An Integrated Decision Support System for Precision Agriculture
IRJMETS
March 1, 2026 – Present
Learn Square Data Science Bootcamp
Learn Square
July 12, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to real-world problems, including sustainability and agriculture, which aligns with a forward-thinking, impact-oriented culture. Participation in hackathons, bootcamps, and conferences, along with publishing a research paper, indicates a proactive and continuous learning mindset. The diverse range of academic projects (carbon tracing, crop disease detection, toxic comment classification, crypto analytics) shows versatility and a willingness to explore different domains within AI/Data Science. However, the candidate's experience level is entry-level, which might require significant mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to document work, present findings, and contribute to team efforts. The academic projects, particularly those with a sustainability focus, indicate a problem-solving mindset and potential alignment with impact-driven roles. However, as an entry-level candidate, direct evidence of senior-level operational fit (e.g., leading projects, mentoring, complex stakeholder management) is not present.