Ghaayathri Devi K
As a highly motivated B.Tech Computer Science Engineering (Artificial Intelligence) student at Amrita Vishwa Vidyapeetham, Coimbatore, my career objective is to leverage my expertise in AI and Cloud Computing to become a leading Data Scientist in the rapidly evolving data ecosystem.
Location
Coimbatore, Tamil Nadu, India
Github
Ghaayathri Devi K
Ghaayathri Devi K
About Me
I am Ghaayathri Devi K, a dedicated B.Tech Computer Science Engineering student specializing in Artificial Intelligence at Amrita Vishwa Vidyapeetham, Coimbatore, graduating in [Month/Year]. My passion lies in the intersection of AI and data, where I aspire to make significant contributions as a Data Scientist. My recent internship at Navodita InfoTech as an AWS Cloud Intern has equipped me with hands-on experience in managing AWS resources, including EC2 Instances, Load Balancing, and Autoscaling Groups. This practical exposure has complemented my academic knowledge in Cloud Computing and Computer Networks, solidifying my foundation in these critical areas.
Beyond my technical pursuits, I have a deep interest in reading books on communication, business, and spirituality. These interests have not only broadened my knowledge but also enhanced my confidence, public speaking skills, and ability to be an attentive listener—traits that are invaluable in collaborative environments. I pride myself on being a jovial multi-tasker with strong leadership and teamwork abilities, always ready to contribute and learn.
My ultimate goal is to push my boundaries, continuously grow in my field, and become a thought leader in Data Science. With a diverse skill set, a willingness to learn, and a drive to excel, I am committed to making a meaningful impact in the world of technology.
Career Objective
As a highly motivated B.Tech Computer Science Engineering (Artificial Intelligence) student at Amrita Vishwa Vidyapeetham, Coimbatore, my career objective is to leverage my expertise in AI and Cloud Computing to become a leading Data Scientist in the rapidly evolving data ecosystem. I am passionate about pushing the boundaries of technology and applying innovative solutions to real-world challenges. My goal is to continuously enhance my skills, contribute to groundbreaking projects, and ultimately, emerge as a thought leader in the Data Science field, driving impactful change and fostering technological advancement.
Resume
Long-term Goals: Looking further ahead, my long-term goal is to establish myself as a leading data scientist, specializing in the integration of data ecosystems with cloud platforms. I aspire to drive innovation in this space, using my expertise to develop solutions that address complex challenges and contribute to the advancement of technology. Ultimately, I aim to become a thought leader in the field, sharing my insights and knowledge to inspire others while making a lasting impact on the industry.
Leadership and Work Experience
AWS Cloud Intern Jun 2024 – Jul 2024
Navodita InfoTech, Mumbai Remote
- Designed and implemented a scalable autoscaling application using AWS Elastic Load Balancing (ELB), Auto
Scaling groups, and Amazon EC2 Instances. - This application automatically provisions and manages EC2 instances based on traffic fluctuations, ensuring opti-
mal application performance and reduced operational costs.
Data Science Intern
Main Flow Services and Technologies, Mumbai Remote – (May 2024 – Jul 2024)
- Developed a Python script using libraries like Pandas and scikit-learn to extract and analyze time series data from
social media posts. - Performed sentiment analysis using NLTK and Vader library to identify customer sentiment trends.
Machine Learning Intern
Prodigy InfoTech, Mumbai Remote – (May 2024 – Jul 2024)
- Worked with classification, regression, clustering models on multivariate data.
- Developed a hand gesture recognition model that can accurately identify and classify different hand gestures from
image or video data, enabling intuitive human-computer interaction and gesture-based control systems.
Research Intern
PQuick Is Cool, New Delhi Remote – (Feb 2024 – Apr 2024)
- Implemented student data protection within an adaptive learning platform. Researched and applied data encryp-
tion standards (e.g., AES-256) for data in transit and at rest. - Proposed data anonymization techniques for student data used in analytics and machine learning, ensuring privacy
and maintaining valuable learning insights. Analyzed international data privacy regulations (e.g., GDPR, FERPA)
to guarantee platform adherence and foster trust with educational institutions and students. - Developed expertise in data security, regulatory compliance, and research methodologies.
Machine Learning Intern
Suvidha Foundations, Mumbai – (Feb 2023 – Mar 2023)
- Contributed to a cutting-edge multi-document summarization project.
- Used NLP and transformer-based models (BERT, GPT-3) Preprocessed data, developed models with Tensor-
Flow/PyTorch, and achieved significant improvements in summarization quality. Collaborated on seamless inte-
gration into existing platforms.
Personal Projects
Image Super Resolution using Generative Adversial Network (GAN)
Developed a teacher-student GAN Architecture for improving the low-resolution images quality.- (Apr 2023 –Jun 2023)
- Domain: Computer Vision, Image Enhancement.
- Techniques Used: TensorFlow Framework | Keras Framework | Finely tuned SRGAN (Teacher-Student Model) |
GPU Acceleration | Transfer Learning - Skills: TensorFlow, Keras, Deep Learning, Linear Algebra, Calculus, Optimization, Probability Theory and Statis-
tics
Building a Text Generator using LSTM in Amazon SageMaker
Developed a system capable of generating coherent and contextually relevant text using LSTM networks.- (May 2023 –Jun 2023)
- Domain: Natural Language Processing, Text Generation
- Techniques Used: Amazon Sage maker| Amazon Cloud Watch | TensorFlow Framework | GPU Acceleration |
LSTM - Skills: TensorFlow, Deep Learning, NLP Proficiency, Cloud based machine learning, Model Optimization
Extracurricular Activities
- Data Analytics and Visualization Job Simulation, Accenture North America | Jun 2024
- Smart India Hackathon 2023 | Legally Yours: Your Personal Legal Advisor | Oct 2023
- Developer Virtual Experience, Accenture | Jul 2023
- Software Engineer Virtual Experience, JP Morgan Chase & Co. | Jul 2023
Publications
Multi-Lingual Speech Emotion Recognition: Investigating Similarities Between English And German Languages
3rd International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) | IEEE | 2024
- Investigated the role of language and cultural factors in speech emotion recognition using a Convolutional Neural
Network (CNN) and LIME technique. - Analyzed English and German speech data from the EMODB and RAVDESS datasets to identify shared and
distinct features for emotion recognition
Understanding the Dynamics Of The Evolution of Weights In Neural Neworkds Using DMD Approaches
3rd International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) | IEEE | 2024
- Investigated the temporal evolution of neural network weights during training using Dynamic Mode Decomposition
(DMD) and Explainable AI (XAI) techniques. - Conducted experiments with propertraining, overfitting scenarios, and various network architectures like CNNs,
RNNs, and LSTMs and analyzed weight convergence patterns and identified limitations in capturing dynamic
weight changes.
DEBERTASSL: Enhancing Molecular Property Prediction With Self-supervised Learning
4th International Conference for Intelligent Technologies (CONIT) | IEEE | 2024
- Developed a novel framework (DeBERTaSSL) for predicting molecular properties using the DeBERTa transformer
model and self-supervised learning techniques. - Integrated DeBERTa with graph convolutional networks to capture both local and globalrelationships within
molecules encoded by SMILES strings and achieved superior performance compared to existing methods on various
datasets, demonstrating the effectiveness of the approach for property prediction.
Implementation Of Hack ALU Using Quantum Dot Cellular Automata
4th International Conference on Microelectronics, Signals & Systems (ICMSS) | IEEE | 2021
Designed and implemented a versatile ALU (”HACK ALU”) capable of performing 64 operations using Quantum-
Dot Cellular Automata (QCA) technology.Employed a bottom-up approach to construct the ALU, designing basic gates, adders, and multiplexers.
Achieved efficient design with minimal control bits, suitable for integration into CPU architectures.
Certifications
- I qualified as far as the district level of the National Children’s Science Congress-2022.
- I presented the Topic Revisiting Mental Health in Rural and Urban areas.
- My project highlighted the challenges of Mental Health between these regions.
Certifications
- AWS Certified Cloud Practitioner, Amazon Web Services Training and Certification | Apr 2024
- Certified Associate Python Programmer, Python Institute – PCAP 31 – 03 | Sep 2022
- Certified Entry Level Python Programmer, Python Institute – PCEP 30 – 02 | Aug 2022
- IBM AI Engineering Professinal Certificate, Coursera (IBM) | Sep 2022
- Participated in Green Olympiad
- SQL for Data Science, Udemy | Sep 2022
Awards & Achievements
Science Olympiad (Feb 2019): Achieved an international rank of 1106 and a zonal rank of 108 (Tamil Nadu & Puducherry Zone), demonstrating strong analytical and problem-solving skills in science.