Nilesh Chopda

Data Scientist

https://talent.gravityer.com/nilesh-chopda

Artificial Intelligence, LLM , Deep Learning

Pune, Maharashtra, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with Python, R, and Jupyter Notebook, which are core tools for Data Scientists.
Projects cover diverse areas within AI/ML, including object detection, NLP (LLMs), and predictive modeling.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong personal drive and interest in exploring various facets of Data Science and Machine Learning. The diversity of projects, from traditional predictive modeling to advanced LLM techniques, suggests an adaptable and curious individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mcp-remote-research-server

May 17, 2025 – May 17, 2025

mcp-remote-research-server — GitHub repository

View Project

Fine-Tuning_Gemma2_with_LoRA_for_Hindi

February 28, 2025 – February 28, 2025

Fine-Tuning_Gemma2_with_LoRA_for_Hindi — GitHub repository

View Project

DSPy-RAG

September 10, 2024 – September 10, 2024

DSPy-RAG — GitHub repository

View Project

Llamindex-Workflows-Custom-Sub-Question-Query-Engine

August 12, 2024 – August 18, 2024

This repo contains Custom Sub question query engine with Agentic RAG. It also gives details about Workflows in Llamaindex.

View Project

Cohere-Semantic-Chunking-Auto-Merging-Retriever

April 27, 2024 – April 27, 2024

Cohere-Semantic-Chunking-Auto-Merging-Retriever — GitHub repository

View Project

Em-trial

November 8, 2023 – November 8, 2023

Em-trial — GitHub repository

View Project

azure-formrecogniser-sample

July 12, 2023 – July 12, 2023

azure-formrecogniser-sample — GitHub repository

View Project

MLApp_not_owner

February 5, 2022 – February 5, 2022

MLApp_not_owner — GitHub repository

View Project

Traffic-Light-Detection-And-Color-Recognition

March 12, 2019 – April 22, 2023

Traffic Light Detection using Tensorflow Object Detection API and Microsoft COCO Dataset

View Project

Corporate-Bankruptcy-Prediction

August 27, 2018 – August 27, 2018

Develop a predictive model which helps to predict whether given firm going to be bankrupt or not using the financial data available. The given data contains financial ratios of various firms and the target attribute tells whether the firm has got bankrupt in the subsequent years or not. Data set and Description: Data: bankdata.csv Description: Desc.txt

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with Python, R, and Jupyter Notebook, which are core tools for Data Scientists.
Projects cover diverse areas within AI/ML, including object detection, NLP (LLMs), and predictive modeling.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Nilesh Chopda

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit