Data Science and Generative AI professional with a Master of Science in Business Analytics from National University of Singapore. I specialize in using Large Language Models and advanced Data Science methodologies to optimize data-driven decision making and operational efficiency. Currently leading the TechSagar initiative at the Data Security Council of India.
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Master of Science in Business Analytics - National University of Singapore (July 2023 - Sept 2024)
- Specialization in Advanced Machine Learning and AI
- Master Thesis: Adaptive Forecasting Framework: A Hybrid LLM-Statistical Approach for Enhanced Zero Shot Prediction
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Bachelor of Technology in Computer Science Engineering - Bennett University (August 2019 - May 2023)
- Bachelor Thesis: Generative Adversarial Network Based Approach towards Synthetically Generating Insider Threat Scenarios
Dec 2024 - Present
- Leading the TechSagar initiative in collaboration with the National Cyber Security Coordinator's Office
- Enhancing platform capabilities with a hybrid RAG pipeline for dynamic data retrieval
- Overseeing India's emerging tech repository covering 27 technology areas and 4,000+ entities
- Leveraging generative AI to improve retrieval precision and develop agentic data enrichment frameworks
Apr 2024 - Sept 2024
- Developed RAG applications using LLMs to enhance financial Q&A assistants
- Fine-tuned text generation models on confidential financial documents using QLora and Azure AI
- Created TimeLLM hybrid framework combining generative AI with traditional forecasting methods
- Engineered end-to-end financial commentary systems with Azure OpenAI
January 2023 - May 2023
- Integrated ensemble methods for insider threat detection, increasing rates by ~15%
- Fostered collaborative efforts between AI, cybersecurity, and system administration
- Implemented Wasserstein Conditional GANs (WCGANs) to mitigate security vulnerabilities
Jan 2022 - May 2022
- Developed autonomous drone prototypes using Robot Operating System
- Designed multifunctional capabilities including real-time object detection and precision landing
- Created custom deep learning models achieving 95% detection rates
- NUSights: Gen AI-based fintech solution bridging efficiency gaps in financial analysis (International Fintech Competition, Chengdu, China – Runner-Up)
- Enhancing Digital Banking UX through Generative AI: Strategic analysis using LLMs
- Multi-Agentic Company Data Researcher Framework: Intelligent system for cataloging emerging Indian tech startups
- Advanced Maritime Traffic Analysis: Sophisticated data warehouse with star schema design for AIS messages
- Image-Based Nutritional Estimation: Novel approach including Singaporean street foods
- Machine Learning & Data Science
- Generative AI & LLMs
- NLP & Network Analysis
- Explainable AI
- DataOps & MLOps
- Prompt Engineering
- Time Series Analysis
- Python
- SQL
- C++
- HTML/CSS
- Xquery
- Scikit-learn
- PyTorch
- Transformers
- Keras
- Huggingface
- Langchain
- LlamaIndex
- Pydantic AI
- Crew AI
- Langsmith
- Qdrant
- Tableau
- AWS
- Git
- SAS Viya
- ExistDB
- Neo4j
- Docker
- Apache Airflow
- MLFlow
- FastAPI
- Supabase
- MongoDB Compass
- n8n
- Langflow
- Generative Adversarial Network Based Approach towards Synthetically Generating Insider Threat Scenarios
- Brain Abnormality Categorization using MRI Scans
- Carbon emission forecasting across different energy sectors using ARIMA
- Hydroponics using IOT and Machine Learning
- Azure certified AI fundamentals and DP fundamentals
- Google: elements of AI certification, GoogleCloud Engineering and Data Science track
- Deep Learning Fundamentals - NVIDIA
- SAS Advanced visual Analytics and Advanced Statistical Analysis
- English - Professional
- Hindi - Professional
- Assamese - Professional
- National ranked Tennis Player
- Squash player
- Core member of Bennett AI Society
- Bennett University Sports Committee member
- Email: anshuphukan031@gmail.com
- Phone: +65 83856094
- LinkedIn: Anshumaan Phukan
- GitHub: Anshumaan031