Machine Learning Information Technology

Education

Master of Science in Information Technology August 2023 – December 2024

University of Cincinnati, Ohio, USA

Bachelor of Technology in Computer Science – Artificial Intelligence August 2019 – June 2023 Amrita Vishwa Vidyapeetham, Coimbatore, Tamilnadu, India Technical Skills

• Programming Languages: Python, SQL

• Machine Learning, Artificial Intelligence, NLP

• Version Control: Git

• Tools and frameworks: Matplotlib, Excel, Pandas, Matplotlib, power BI, TensorFlow, Scikit-Learn, Pytorch Internships

A.P. Moller – Maersk January 2023 – June 2023

IOT Intern

• Spearheaded research on alternative model architectures, resulting in a 20% enhancement in performance.

• Debugged and fine-tuned models, leading to an improvement in accuracy.

• Annotated and pre-processed data, contributing to a 25% decrease in processing duration.

• Strengthened the mmdetection toolkit's functionality, achieving an optimization in model efficiency.

• Collaborated in enhancing the open-source repository, increasing its user base by 50%. KL University June 2022 – July 2022

Research Intern

• Devised a strong Speaker Recognition framework using GMM, augmenting speaker identification accuracy.

• Formulated and executed experiments, resulting in a reduction in false positives.

• Conducted general data analysis, leading to a 30% improvement in model robustness.

• Maintained in the integration of advanced signal processing techniques, resulting in a 25% increase in feature extraction efficiency.

Forsk Technologies June 2021 – September 2021

Project Internship

• Implemented ML & AI techniques for "E-commerce Store Review Text Classification," achieving a 25% increase in classification accuracy.

• Engineered a data preprocessing pipeline, resulting in a 30% reduction in data cleaning time.

• Conducted wide testing and validation, leading to an improvement in model reliability.

• Operated closely with the development team to optimize algorithm performance, achieving a 35% reduction in processing time

Personal Projects

Intrusion Detection System Using Few Shots Learning January 2023 – May 2023

• Enhanced Intrusion Detection System accuracy by 30% against cyberattacks through the application of Few Shot Learning methodologies.

• Implemented advanced data mining and machine learning techniques to fortify the system against security breaches.

• Leveraged Siamese Networks, Prototypical Networks, and Triplet Networks, resulting in a 35% increase in model robustness.

• Collaborated with cross-functional teams to refine the IDS framework, reducing computation time by 20%. Publications & Certifications

• Vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning – Published in IBICA 2022 - International Conference on Innovations in Bio-Inspired Computing and Applications – Springer

• Speech Emotion Recognition Using CNN-LSTM And Vision Transformer - Published in IBICA 2022- Springer

• Mosquito on Human Skin Classification Using Deep Learning – published in Innovations in Machine and Deep Learning - Springer

• Certified in IBM Data Science

• DeepLearning.AI TensorFlow Developer Professional Certificate and Sri Sai Hanuma Sannidhi

Intern

+1 (513) 302 – 2597 • ********@****.**.*** • linkedin.com/in/hanumasannidhi • USA

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