Neelabha Banerjee

Data Scientist

Bengaluru, Karnataka, India1 yr 11 mos experience

Most Likely To Switch

Key Highlights

Developed advanced NLP frameworks and chatbots.
Achieved high accuracy in news relevance prediction.
Strong foundation in Data Science and Machine Learning.

Stackforce AI infers this person is a Data Science and NLP specialist with SaaS industry experience.

Contact

neelabha.banerjee@zigram.tech LinkedIn

Skills

Core Skills

Data ScienceNatural Language Processing (nlp)

Other Skills

AlgorithmsApplied Machine LearningC (Programming Language)C++ClassificationData ClassificationData StructuresDeep LearningDiscrete MathematicsDjangoFastAPIGraphsInformation RetrievalJavaLangChain

About

Curious about anything and almost everything!

Experience

1 yr 11 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 11 mos

Current Experience

Zigram

3 roles

Junior Data Scientist

May 2025 – Present · 1 yr 1 mo · Remote

Data Specialist

Jul 2024 – May 2025 · 10 mos · Remote

Data Science Intern

Jan 2024 – Jul 2024 · 6 mos · Remote

Here are the projects that I worked on during my internship:
Worked on developing a framework that can retrieve all the information about a particular entity available in Knowledge bases like Wikipedia, Wikidata, DBpedia, YAGO. Collated and prepared a dataset of about 1 million Politically Exposed Persons (PEP).
Worked on developing features to predict whether a news article is relevant to an entity or not. Achieved 71% accuracy using a rule based algorithm, with a latency of less than 1 second per article.
Worked on developing a phonetic similarity framework which can predict how phonetically similar two names are
Worked on developing a RAG + LLM based chatbot which can answer questions from a PDF. Outperformed ChatPDF in both quality of responses as well as latency

Information RetrievalRAGData ScienceNatural Language Processing (NLP)Machine LearningPython (Programming Language)

Indian statistical institute, kolkata

Winter School on Deep Learning: From Perceptrons to Diffusion Models

Jan 2023 – Apr 2023 · 3 mos · Kolkata, West Bengal, India · Remote

Complete basic to advanced Machine Learning and Deep Learning winter school, full of Hands-on sessions and renowned professors taking lectures on topics like transformers, explainable AI, GANs and Learning Theory.
It was a perfect blend of theoretical as well as applied knowledge on these topics. I really enjoyed the lectures and learnt a lot.

Artificial intelligence institute at university of south carolina

Research Intern

Sep 2022 – Jan 2024 · 1 yr 4 mos

Worked on proposing a common benchmark for GE evaluation based on graph
reconstruction from GE. Since the vector form of information become opaque and non-interpretable to human, it would be
convincing if we can reconstruct the original graph from the GE. Such reconstruction will assert topology-information retain
in a given vector form. Researchers use several kinds of graph in many application - directed graph, bidirectional graph,
undirected graph, weighted graph, and knowledge graph. Therefore, which GE method – HOPE, LINE, Node2Vec, SDNE,
Graph2GNN etc is actually applicable for their particular problem is hard to assess beforehand.

Presidency university, kolkata

Summer Research Intern

Sep 2021 – Jan 2022 · 4 mos · Kolkata, West Bengal, India

Worked on A.I. techniques for image encryption and steganography

Chegg india

Managed Network Expert

Aug 2021 – Jul 2022 · 11 mos · Kolkata, West Bengal, India

In the third year of college, I wanted to brush up and polish my skills. And what better way is it other than teaching or helping a student. So I decided to signup and I gave the test and I got selected! My subject is Computer Science.