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Chandan S Patil

@chandansp27

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Experienced data scientist with expertise in NLP and AI.

India

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What I'm looking for

Looking for a job that allows me to apply my expertise in NLP and AI. I am particularly interested in roles that involve machine learning engineering, NLP engineering, AI research, or data engineering. I value a company culture that fosters innovation, collaboration, and continuous learning. I am seeking opportunities for career growth and the chance to work on challenging projects that have

I am an experienced data scientist with a strong background in Natural Language Processing (NLP) and Artificial Intelligence (AI). During my internship at the Indian Space Research Organization (ISRO), I worked on satellite data processing, retrieval, and visualization using NLP and AI techniques.

One of my key achievements was fine-tuning RoBERTa for satellite instrument and domain Named Entity Recognition (NER) by utilizing a tailored dataset created through data augmentation and NLP-assisted annotation. I also constructed a robust data retrieval system using a semantic search engine and techniques like query expansion and similarity matching. Additionally, I built a real-time data visualization tool and an application for automated data processing pipelines.

My projects include developing a Python application leveraging the GitHub API for repository file retrieval, disaster tweet classification using the Twitter API and GloVe vectorization techniques, and creating a Lunar Lander project using reinforcement learning techniques in OpenAI's Gymnasium environment.

Experience

Work history, roles, and key accomplishments

Project Intern - Satellite Data Processing

Indian Space Research Organization ISRO (ISTRAC)

Fine-tuned RoBERTa for satellite instrument and domain Named Entity Recognition (NER) utilizing a tailored dataset created by data augmentation via transformers, NLP assisted annotation, rule-based and machine learning methodologies. Constructed a robust data retrieval system through a semantic search engine, leveraging Whoosh and spaCy. Utilized techniques such as query expansion and similarity

Named Entity Recognition NLP Transformers Semantic Search Data Visualization OpenAI Whisper Mission Control Center Deployment

RepositoryInterpreter

Presidency University

Crafted a Python application leveraging the GitHub API, designed to streamline fetching and local storage of repository files through user-inputted URLs. Incorporated ChromaDB and Tiktoken to generate vector embeddings, powering a robust retrieval-based search functionality and OpenAI API gpt-3.5-turbo to enable intuitive, conversational AI-powered user interactions. Built a web application using

Python GitHub API Flask GPT 3

Disaster Tweet classification using Twitter API, GloVe and LSTM

Presidency University

Conducted data collection and analysis of disaster related tweets using the Twitter API and GloVe vectorization techniques. Utilized an LSTM network to classify tweets into relevant disaster categories for emergency response efforts.

Twitter GloVe Disaster Tweet Classification Data Collection Data Analysis

Lunar Lander using Deep Q Learning

Presidency University

Developed a Lunar Lander project using reinforcement learning techniques in OpenAI’s Gymnasium environment. Implemented an on-policy strategy to create a training policy for the lander, utilizing a Deep Q Network (DQN) and a target network.

Reinforcement Learning OpenAI Gymnasium Lunar Lander Project