06/20/2026 updated
100 % available
Data Scientist | ML & NLP Researcher | Deep Learning Engineer
Chennai, India
Only remote
B.Tech in Computer Science and Engineering (ongoing, 2024-2028), SRM IST KattankulathurAbout me
Data Scientist and ML Researcher with experience in NLP, Deep Learning, Data Analytics. Worked on research projects with academic and government organizations, developing predictive models, LLM-based systems, Passionate about solving real world problems through data and AI.
Data AnalysisDjangoPython (Programming Language)Data AnalyticsArtificial Intelligence Markup Language (AIML)
Machine Learning & Statistics
Expertise in Regression, Classification, Clustering, Hypothesis Testing, Isolation Forest, Random Forest, XGBoost, and LightGBM for building robust predictive models.
Natural Language Processing (NLP)
Proficiency in sentiment analysis, psycholinguistic feature extraction, KeyBERT/YAKE keyword extraction, topic modelling, RAG, and LLM Agents for advanced text analytics.
Deep Learning
Hands-on experience with PyTorch, TensorFlow, CNNs, LSTM, BERT/DistilBERT fine-tuning, Hugging Face Transformers, and Anomaly Detection for complex model development.
Data Engineering
Strong background in Python, Pandas, NumPy, SQL, ETL pipelines, feature engineering, EDA, and Google Trends API for end-to-end data processing.
Data Visualisation
Skilled use of Matplotlib, Seaborn, Plotly, and Power BI to create interactive dashboards and insightful visual representations of data.
Deployment & Web Development
Experience deploying applications using Flask, Flask-API, Heroku, Gunicorn, WTForms, and PostgreSQL, as well as full-stack development with Next.js, Node.js, Socket.io, and MongoDB.
SAR & Remote Sensing
Benchmarking of deep learning architectures including U-Net, DeepLabV3+, SegNet, FCN, and PSPNet on SAR satellite imagery for flood detection tasks.
Cybersecurity & AI for Autonomous Systems
Research into cybersecurity and AI systems for autonomous drone platforms, covering threat detection, edge inference, and multi-layer security.
Network Digital Twin Research
Translating high-level intent into actionable networking rules within a Network Digital Twin framework, applying advanced research methodologies.
Expertise in Regression, Classification, Clustering, Hypothesis Testing, Isolation Forest, Random Forest, XGBoost, and LightGBM for building robust predictive models.
Natural Language Processing (NLP)
Proficiency in sentiment analysis, psycholinguistic feature extraction, KeyBERT/YAKE keyword extraction, topic modelling, RAG, and LLM Agents for advanced text analytics.
Deep Learning
Hands-on experience with PyTorch, TensorFlow, CNNs, LSTM, BERT/DistilBERT fine-tuning, Hugging Face Transformers, and Anomaly Detection for complex model development.
Data Engineering
Strong background in Python, Pandas, NumPy, SQL, ETL pipelines, feature engineering, EDA, and Google Trends API for end-to-end data processing.
Data Visualisation
Skilled use of Matplotlib, Seaborn, Plotly, and Power BI to create interactive dashboards and insightful visual representations of data.
Deployment & Web Development
Experience deploying applications using Flask, Flask-API, Heroku, Gunicorn, WTForms, and PostgreSQL, as well as full-stack development with Next.js, Node.js, Socket.io, and MongoDB.
SAR & Remote Sensing
Benchmarking of deep learning architectures including U-Net, DeepLabV3+, SegNet, FCN, and PSPNet on SAR satellite imagery for flood detection tasks.
Cybersecurity & AI for Autonomous Systems
Research into cybersecurity and AI systems for autonomous drone platforms, covering threat detection, edge inference, and multi-layer security.
Network Digital Twin Research
Translating high-level intent into actionable networking rules within a Network Digital Twin framework, applying advanced research methodologies.
Languages
EnglishNative speaker
Project history
Network Digital Twin research focused on translating high-level intent into actionable networking rules, co-supervised by Prof. Tommaso Pecorella and Prof. Benedetta Picano.
Building an unsupervised text-mining pipeline using KeyBERT/YAKE keyword extraction, graph construction, and Louvain community detection on citizen feedback data, under Dr. Swarna.
Interdisciplinary research on cognitive psychology and digital society topics under faculty mentorship.