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AI Engineer with 1+ years in Data Science & Machine Learning.
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B.Tech graduate in Artificial Intelligence and Data Science with skills in Python, SQL, Machine Learning, and Deep Learning. Completed a Data Science course and internship with practical experience in data analysis (Pandas, NumPy) and data visualization (Power BI, Matplotlib). Developed several ML and DL projects and interested in leveraging data to support data-driven decision making.
Anna University, JCT College of Engineering and Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Techolas Technologies Pvt.Ltd
Data Science
July 1, 2025 – March 1, 2026
Pālghāt, Kerala, India
Nestsoft Technologies Pvt. Ltd.
Web Technology using HTML, CSS, JavaScript, PHP
July 1, 2023 – July 1, 2023
Cochin, Kerala, India
IoT-Driven Smart Forest Fire Detection And Prediction System With AI-Based Risk Mitigation
June 1, 2026 – Present
Developed an IoT-based forest fire detection system using Arduino and environmental sensors with real-time cloud monitoring. Built a machine learning model to predict forest fire risk and generate early warning alerts.
View ProjectNote Sharing Web application using Python Django
June 1, 2026 – Present
Developed a note sharing web application using Python and Django for uploading, downloading, and managing study materials. Implemented user authentication and file management features to enable secure and organized note sharing among users.
View ProjectInternship Management System Web Development
June 1, 2026 – Present
Developed an Internship Management System web application to manage internship postings, applications, and student records. Implemented user authentication and database management for efficient tracking of internship details.
View ProjectIndian Crime Risk Level Prediction Using Machine Learning
June 1, 2026 – Present
Developed a machine learning model to predict crime risk levels using Indian crime dataset analysis. Performed data preprocessing, visualization, and predictive modeling using Python and data analysis libraries.
View ProjectLifestyle-Based Mental Health Prediction Using Deep Learning-ANN
June 1, 2026 – Present
Developed a deep learning (ANN) model to predict mental health conditions based on lifestyle factors. Performed data preprocessing and model training using Python and deep learning libraries.
View ProjectReal-Time Accident Detection Using Deep Learning-CNN
June 1, 2026 – Present
Developed a CNN-based deep learning model for real-time accident detection from images. Implemented image processing and model training using Python and deep learning frameworks.
View ProjectSentiment Analysis For Mental Health Using Deep Learning-RNN,NLP
June 1, 2026 – Present
Developed an RNN-based deep learning model for mental health sentiment analysis using NLP techniques. Processed text data and trained the model to classify emotions such as anxiety, depression, stress, and normal.
Introduction to Data Science Job Simulation
Unknown
June 1, 2026 – Present
Data Visualisation: Empowering Business with Effective Insights
Unknown
June 1, 2026 – Present
Data Analytics Job Simulation
Unknown
June 1, 2026 – Present
Internship: Web Development
Unknown
June 1, 2026 – Present
Web Technology Full Stack Using Django
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML applications across various domains (IoT, healthcare, crime prediction, web development), indicating a broad curiosity and willingness to explore different problem spaces. This diversity suggests a potential for good cultural fit in an innovative and research-driven environment. However, the experience level is entry-level, which might require more mentorship and structured guidance.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, suggesting adaptability. However, the brevity of descriptions and lack of detail on team collaboration or problem-solving approaches make it difficult to assess soft skills and operational fit comprehensively. The academic nature of projects implies a learning-oriented mindset.