Bhuvankumar

Information Science Graduate from NMIT with a strong foundation in Data Science and Machine Learning. Hands-on experience developing deep learning models and building data-driven solutions for real-world problems. Proficient in Python and SQL, with internship exposure to applied AI and model development workflows.

VR Product Developer Intern - BodyClone Innovations Pvt. Ltd.

(2026-01 - 2026-02)

Deep Learning / Computer Vision Focus

• Developed a deep learning–based landslide segmentation pipeline using multi-spectral satellite imagery.
• Adapted pretrained ConvNeXt-Tiny for 14-channel input and integrated it with a U-Net style decoder for pixel-level segmentation.
• Applied transfer learning and Aquila Optimizer–based hyperparameter tuning to improve segmentation performance and model convergence.
• Achieved 98.81% segmentation accuracy with a Dice/F1 Score of 75.33% and Mean IoU of 79.60%.

Artificial Intelligence Intern - Aqmenz Automation Pvt. Ltd.

(2023-03 - 2023-04)

Data Science / Machine Learning Focus

• Worked on Melbourne Housing Dataset analysis and housing price prediction using machine learning.
• Cleaned and transformed housing data by handling missing values, removing duplicate records, and improving data quality.
• Built and evaluated a regression pipeline for housing price estimation.
• Applied data preprocessing and analysis techniques to improve dataset quality and support reliable predictions.

B. E. - Information Science & Engineering - Nitte Meenakshi Institute of Technology (2022-12 - 2026-06)

PU - PCMB - Sir M Visvesvaraya PU College, State Board (2020-08 - 2022-04)

Class X - CBSE - Anmol Public School (2019-04 - 2020-07)