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Kunal Dutta

@user.2599194

Data Science Intern at Zigram India

Bengaluru, India

Zigram India Pvt LimitedChrist University

Kunal Dutta is a Masters in Data Science graduate from Christ University Bengaluru with a strong academic background in machine learning, NLP, and graph neural networks. He has research experience from the University of New Hampshire and Jadavpur University, and has worked as a Data Science Intern at Zigram India on PDF chatbots using Langchain and RAG-based architectures. His projects include recommendation systems using graph neural networks and COVID chest X-ray classification.

Experience

Data Science Intern

Zigram India Pvt Limited

•Jan 2024 - Present

Creation of PDF Chatbots: Worked on the creation of PDF Chatbots using Langchain Framework with the utilization of RAG Based Architecture. Used Unstructured API for efficient text structuring and embedding generation and Claude AI LLM to form a PDF Question Answering System. Concept Extraction: Worked on querying various Open Source Knowledge Graphs for searching linked terms to a given concept which was utilized in better search procedures relating to the term.

NLP Research Intern

University of New Hampshire

•Jun 2023 - Jan 2024

Entity Aspect Linking: Worked on design of an efficient algorithm using link prediction to correctly link the possible aspects of a content to the entities mentioned in a given context with the utilization of various Graph Neural Networks Architectures with Fine Tuned BERT Text Embeddings as Features.

Research Intern

Jadavpur University

•Jan 2022 - Dec 2023

Landslide Mortality Modelling through Geographically Weighted Regression(GWR): Worked on Spatial modelling of the effects of meteorological, topological and soil related factors on Landslide Mortality. Comparison was done on Normal GWR, Poisson GWR and Multiscale GWR. Modelling of PM2.5 through Geographically Weighted Regression(GWR): Worked on Spatio-Seasonal modelling of the effects of meteorological, socio-demographic and pollutant factors on PM2.5 levels on a seasonal basis.

Research Intern

University of New Hampshire

•Dec 2022 - Aug 2023

Knowledge Graph Reconstruction Analysis: Worked on the creation of Knowledge Graph Embeddings from benchmark Knowledge Graph datasets through various embedding methods such as HOPE, SDNE, LINE, Node2Vec followed by Graph Reconstruction to analyse the performance of the embedding techniques. Knowledge Graph Merging with Autoencoders: Worked on merging of Knowledge Graphs using Autoencoders to generate subgraph embeddings and intermediate meta embeddings followed by Knowledge Graph reconstruction for analysis of Meta embedding generation techniques.

Education

Christ University

Masters

Data Science

Aug 2022 - May 2024•Grade: 3.80/4.0

St. Xavier’s College(Autonomous)

Bachelors

Computer Science

Jul 2019 - May 2022•Grade: 8.85/10.0

Delhi Public School Ruby Park

CBSE AISSCE

May 2018•Grade: 97%

Licenses & Certifications

Machine Learning Specialization

Coursera

Machine Learning A-Z

Udemy

Deep Learning Specialization

Coursera

Apprenticeship for Advanced Machine Learning and Deep Learning

Indian Statistical Institute

Statistical Inference with Python

Infosys Springboard

Skills

Python
Java
C++
C
SQL
TensorFlow
PyTorch
PyTorch Geometric
Keras
Django
Flask
Langchain
PySpark
MySQL
PostgreSQL
Numpy
Pandas
Matplotlib
Statsmodels
Sci-Kit Learn
Seaborn
NLTK
Spacy