Prachi Gopalani

AI Engineer

https://www.opentalent.in/prachi-gopalani

AI Engineer

Bristol Myers Squibb

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (e.g., Stock Price Prediction, Customer Segmentation, Generative AI Guides, LLM-Method, Zero-Shot Learning, Multi-Class Text Classification).
Experience with Python and Jupyter Notebook, which are core tools in AI/ML development.
Exposure to various AI/ML techniques including LSTM, Sentiment Analysis, RFM+Kmeans, Image Augmentation, and different text classification methods.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong personal drive and interest in AI/ML, aligning well with an AI Engineer role. The diversity of AI-related projects suggests a proactive learning approach. However, the lack of team-based projects or professional experience details makes it difficult to fully assess cultural fit beyond technical alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and 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

GenerativeAI-Guides

April 16, 2025 – September 4, 2025

GenerativeAI-Guides — GitHub repository

View Project

Cache-Augement-generation

April 15, 2025 – April 15, 2025

Cache-Augement-generation — GitHub repository

View Project

LLM-Method

September 24, 2024 – September 25, 2024

LLM-Method — GitHub repository

View Project

Zero-Shot-Learning-Topic-Classification

March 2, 2023 – March 2, 2023

Zero-Shot-Learning-Topic-Classification — GitHub repository

View Project

Multi-Class-Text-Classification

May 31, 2022 – June 9, 2022

Multi-Class-Text-Classification — GitHub repository

View Project

Prachi-Gopalani13

May 10, 2021 – September 4, 2025

Prachi-Gopalani13 — GitHub repository

View Project

US-Top10-Stock-Price-Prediction

March 24, 2021 – May 18, 2021

Automated weekly prediction using LSTM model and Sentiment Analysis

View Project

Blockchain-Demo

January 31, 2021 – March 13, 2021

Making a Blockchain using python and displayed in Postman

View Project

Customer-Segmentation

January 18, 2021 – February 20, 2021

Customer Segmentation in Online Retail using Python. Perfromed Cohorts Analysis & RFM+Kmeans

View Project

Image-Augmentation-Using-Keras

November 5, 2020 – January 18, 2021

Using MNIST dataset for image augmentation using Keras

View Project

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (e.g., Stock Price Prediction, Customer Segmentation, Generative AI Guides, LLM-Method, Zero-Shot Learning, Multi-Class Text Classification).
Experience with Python and Jupyter Notebook, which are core tools in AI/ML development.
Exposure to various AI/ML techniques including LSTM, Sentiment Analysis, RFM+Kmeans, Image Augmentation, and different text classification methods.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Prachi Gopalani

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit