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Data Science with less than a year in AI & Machine Learning
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Pursued Data Science and AI with hands-on experience supporting AI based projects, including NLP chatbots, Computer Vision models, and Retrieval-Augmented Generation(RAG) systems. Skilled at data preparation, model experimentation, performance evaluation, and assisting in deployment workflows. Comfortable working in fast-paced startup environments, collaborating with engineers, researchers, and non-technical stakeholders. Actively seeking a junior or associate role where I can contribute, learn rapidly, and grow with an AI-driven product team.
Asian Institute of Technology
Masters in Data Science and Artificial Intelligence · Data Science and Artificial Intelligence
August 1, 2023 – June 30, 2025
Presidency University
Bachelor of Science · Computer Engineering
August 1, 2018 – June 30, 2022
International Educational Bootcamp
Student Assistant
January 1, 2025 – Present
India
AIT
Technical Staff & Master of Ceremony
January 1, 2024 – January 1, 2024
Thailand
AIT
Conference Assistant
January 1, 2024 – January 1, 2024
Thailand
Comparative Analysis of Energy Emissions and Carbon Footprint In Vector RAG and Knowledge Graph -Based Retrieval Model
January 1, 2025 – June 1, 2026
Designed and implemented both Vector RAG and Knowledge Graph-based RAG systems for question-answering applications. Integrated the RAG models with an academic institution website to evaluate real-world chatbot behavior and response quality. Measured and compared energy consumption, carbon emissions, latency, and retrieval accuracy across both RAG architectures. Analyzed performance trade-offs between response quality and environmental impact to identify cost and energy-efficient AI deployment strategies. Demonstrated that Knowledge Graph-based RAG can reduce redundant retrieval and improve energy efficiency for structured domains. Research outcomes align with sustainable AI practices and efficient deployment of AI systems in production-like environments.
Plant Disease Prediction with Diffusion Model
January 1, 2024 – March 1, 2024
Supported development of a diffusion model-based system for plant disease detection. Compared diffusion models with CNNs to evaluate robustness and noise handling. Assisted in dataset preparation, model training, and result analysis. Contributed to improving detection performance in real-world agricultural images.
Medical QnA Bot
January 1, 2023 – January 1, 2024
Assisted in developing an NLP-based medical chatbot for symptom analysis. Implemented text preprocessing and model evaluation workflows. Integrated medical knowledge sources to improve response relevance. Gained experience working with real-world unstructured text data.
Global Energy Consumption Analysis
January 1, 2022 – January 1, 2023
Built interactive Tableau dashboards to analyze global and regional energy consumption trends. Prepared and cleaned large datasets using Python (Pandas, NumPy). Assisted in developing ML models to forecast regional energy demand. Supported analysis of renewable energy cost estimation for decision-making.
Awarded with AIT Fellowship for Masters Degree in Data Science and AI from Asian Institute of Technology, Thailand.
Asian Institute of Technology
January 1, 2023 – Present
Professional certification in Bioinformatics
Unknown
January 1, 2021 – Present
Certified in Data Visualization Using Python from COURSERA.
COURSERA
January 1, 2020 – Present
Cultural Fit Analysis
The candidate's academic background from an international institution (Asian Institute of Technology) and participation in international bootcamps suggest an openness to diverse environments. Their project work, particularly the 'Comparative Analysis of Energy Emissions and Carbon Footprint In Vector RAG and Knowledge Graph -Based Retrieval Model', indicates an interest in sustainable AI practices, which could align with a forward-thinking organizational culture. The variety of academic projects and assistant roles shows a willingness to learn and contribute in different capacities. However, the experience is heavily academic, and direct industry cultural fit for a senior role is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates organizational and coordination skills through various assistant roles. Their experience in facilitating events and managing logistics suggests an ability to work in a team and handle operational tasks. The 'About Me' section indicates comfort in fast-paced environments and collaboration with diverse stakeholders, which is positive for operational fit. However, the primary experience is academic and assistant-level, so direct senior-level operational leadership experience is not evident.