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Uzair Shafqat

FAST · 2025 · 21i-0043

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Phone

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GitHub

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Academic

Program

BS Computer Science

CGPA

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Year

2025

Education

FAST NUCES Islamabad Campus

Address

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DOB

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Career

Current role

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Target role

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Skills

Machine Learning, Natural Language Processing, NLP, Sentiment Analysis, Text Mining, Random Forest, Data Pre-Processing, Prediction Model

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Impact of Customer Reviews on Sales Using Machine Learning Techniques in Automobile Industry 
Our research successfully analysed the impact of customer reviews on automobile sales using machine learning techniques. We used natural language processing (NLP) models to analyse the sentiments of customers using review and sales data we had collected and prepared beforehand. The data showed a strong link between changes in public opinion and how well sales were doing. Our study gives the auto industry useful information by showing how companies can use customer feedback to improve their products and sales tactics. 
In this study, we've looked at social and industrial issues to help companies better understand how their customers feel. Our structured way helps businesses find patterns in customer reviews, which helps them improve their marketing and operations to make customers happier and make more money. 
Key Words 
Machine learning, Sentiment analysis, Prediction model, Text mining, Natural Language Processing (NLP), Random Forest, Customer feedback analysis, Automobile industry, Sales forecasting. 
Supervisor 
Mr. Hammad Majeed 
Group Members 
Uzair Shafqat (21i-0043)

AI enrichment

Uzair Shafqat is a BS Computer Science student who conducted research on analyzing the impact of customer reviews on automobile sales using machine learning and NLP techniques. The project involved sentiment analysis and prediction modeling to provide insights for improving marketing and sales strategies.

Skills (AI)

["Machine Learning", "Natural Language Processing", "Sentiment Analysis", "Text Mining", "Random Forest", "Data Analysis", "Sales Forecasting", "Python"]

Status: ai_done

Provenance

Source file: FAST School of Management - Graduate Directory 2025.pdf
From job #19 page 71
Created: 1778140499