Vaanya Malik

Academic

Verbatim text

Vaanya Malik
+923215746422, vaanyamalik2239@gmail.com
New Gracy Lines, Near Old Airport, Rawalpindi
Linkedln: https://www.linkedin.com/in/vaanyamalik/
Bachelor of Business Administration (BBA)
Marketing
rmy Public School Humayun Road, Rawalpindi
HSSC (Pre-Engineering)
rmy Public School Humayun Road, Rawalpindi
Secondary School Certificate (SSC)
rojects
inal Pro"ect:
Analyzing Customer Reviews to find CRM, Customer Loyalty and Brand Image through Topic
Modelling.
e conducted topic modelling in t he smart wearable Tech Industry online reviews, which can enable companies to
urther examine Customer Relationship Management, customer loyalty and brand image.
ustainability Audit of FAST NUCES - Strategic Management.
roma by FHVLs - Entrepreneurship (Launched a new business of scented wax perfumes).
Heavy Mechanical Complex's Manufacturing process - Operation Management.
Revamping of Pakola - Marketing Management.
Revamping of TOPS Company - Consumer Behaviour
Research paper: How CRM Strategies are enhancing Customer loyalty and brand image (Accepted Internationally).
Work Experience
Marketing Internship at National incubation center for aerospace and technology,
Islamabad
Jul 2023 - Aug 2023
Founder of Aroma by FHVLs, FAST NUCES
Feb 2024 - Present
eacher Assistant at FAST NUCES
Aug 2024 - Present
Director Advertisement at ARMY PUBLIC SCHOOL
Jul 2017- Sep 2017
kills & Tools
ound in people skills, good team spirit, able to work and collaborate well with colleagues,
proficient in managing & organizing skills tasks, with a keen passion for
new experiences and continuous learning.
echnical Skills
MS-Office, Salesforce, MS- Word, MS-PowerPoint, MS Excel, Canva, Prezi, Clickup,SPSS
chievements
Research Paper (Accepted in Various International Conferences), 2024
Inscribed in the Dean's Roll of Honor for multiple times.
Trainings I Certification
Go. Data: Building additional dashboards in Power Bi. United Latino Students Association. 2023
Digital Marketing Course, Hubspot Academy
Google ads for Beginners, Coursera.
Python For everybody Specialization, Coursera.
ctivities
olunteer, KARWAN E PAKISTAN TRUST
Officer business events, FAST NUCES
Usher at Job Fair'24, FAST NUCES.
Participated in Community service drives.
nterests
dventure, Networking
FAST NUCES ISLAMABAD CAMPUS
FAST SCHOOL OF
MANAGEMENT
FINAL YEAR PROJECTS
FAST NUCES ISLAMABAD CAMPUS
Mobile Wallets and Gen Z: Enhancing Retention through Social Media
Marketing, Ease of Use, Al, EWOM, and Customer Satisfaction
experienced relatively slower growth in comparison due to factors like low financial literacy.
However, with increasing smartphone usage and digital connectivity, mobile wallet applications in
examines how ease of use, social media marketing and user retention impact retention and
assessed mobile wallet adoption, very few have emphasized on the preferences and behavioural
patterns of Gen Z. This research addresses these gaps by investigating the direct and indirect effects
of ease of use, social media marketing and user retention, as well as customer satisfactionacting as
a mediator and Al Integration and eWOM as the moderators between the variables and how it
influences their relationship.
Key Words: Mobile Wallets, Gen Z, Social Media Marketing, Ease of Use, Customer Satisfaction, Artificial
Intelligence
Area of Study:
Marketing
Supervisor Name:
Dr. Abdul Wahab
Group Members:
Hafsa Ashfaq (21i-0096)
Aleena Hussain (21i-0067)
Aniqa Qurat-ul-Ain ( 21i-0095)
Raiha Ali {21i-0080)
FAST NUCES ISLAMABAD CAMPUS
A Quantitative study of Exploring Consumer Purchase Intentions And
As climate change becomes a growing concern worldwide, many countries are shifting towards sustainable
due to multiple challenges. This research investigates the factors that discourage consumers from purchasing
EVs and the role government policies play in addressing these barriers. The study focuses on four key barriers:
technical barriers (battery life, charging speed, and range anxiety), social barriers (lack of awareness and
misconceptions), economic barriers (high initial costs, expensive battery replacements, and limited financing
options), and infrastructural barriers (insufficient charging stations and repair facilities). The goal of this study
is to understand why these barriers exist and how they impact consumer purchase decisions.
To address these challenges, solutions are explored in the research such as government incentives, company
initiatives, and infrastructure development. The study will analyze how policies like subsidies, tax reductions,
and low-interest financing options can make EVs more affordable and will provide insights to the automakers
regarding the interest of consumers in EVs. After identifying the reasons behind these barriers and proposing
Keywords: Electric vehicles, consumer purchase intentions, adoption barriers, government policies,
sustainable transportation.
Electric vehicles (EVs) arekeytoocleane<,greener Padstan So. whot's
holding consumers bock? This study uncovers the technicol, socloL
lnfrostllJcturot ond economic bofTiers to EV odopllon rod highlights how
smart govemnent policies con drive change. Our lh:tings offer Insights fOf
policymakers, automolcers, rod consuners-paving thewoy for sustai'lable
mobility and a corbon- free tuue.
Objectives:
1. Analyze the impact of teclY1icoL socioL economic, ond infrastructural
2. Evoluote how government policies moderote the relotlonship between
these barriers and consumer purchase intentions.
Marketing
Supervisor Name:
Dr. Abdul Wahab
Group Members:
Khunsha Saleh (211-0034)
Aqsa Sohail (211-0001)
Muhammad Ahmad (211-0050)
Muhammad Abubakar (211-0087)
FAST NUCES ISLAMABAD CAMPUS
Business plan of Shandaar Plants
challenges busy individuals face in maintaining plants. The company believes in the calming
influence and mental health benefits of plants, and seeks to make plant care easier through
innovative technology. A detailed business plan was developed, including market and competitor
analysis, and the project has been expanded to new cities via lnstagram with new designs, colors,
and sizes. The target market includes young professionals, university students, eco-conscious
consumers, and frequent travelers, offering self-watering planters that reduce time constraints and
stress, promote responsible plant ownership, and provide a green solution for students in various
living situations.
Shandaar Planls is a Pakislani
slur/up. which sturted in Jamu.u:r
2024. focuses on producing and
selling sel/wa1e,.;ng pots, aiming l o
provide sustainable and ffficient plmu
care solutions
Why Shamlaar Plants?
At Shandaar J>Janrs, we snlve the pmhlem
qf overn'off:rinx with om· se{f-walf:l'inx
puts. They providt.: 1fte pe1fi:u c1mounr uj
hydrarion. 1m~.,.·e111irig root rotund making
plam care e.axier and more efficient. J'(wr
pl<ints stqv healil1)' wilh minimal ejforl.
Target Market
Supervisor: Dr Abdul Wahab
Co-supervisor: Dr Muhammatl Akhtar
Group Members:
Saad NaPeed Jaty'ua (2 li-0074)
1-'araz Sadiq ljiikhar Malik (Jli-00301
SHANDAAR
PLANTS
BUSINESS PLAN
Aim,· nnd Olljec:tfres
How Does It Work?
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Area of Study:
Cross cluster
Supervisor Name:
Dr. Abdul Wahab
Group Members:
Faraz Sadiq (21i-0030)
Saad Naveed Janjua (21i-0074)
FAST NUCES ISLAMABAD CAMPUS
Effect of Religiosity on Entrepreneurial lntention:Moderating Role of
Self-Efficacy
The increased number of religious devotees has increased the demand that research must be
conducted on areas such as business intention linkage to religiosity. Our research delves into
practical insights regarding the effect of religiosity on entrepreneurial intention. It offers various
agencies such as government solutions and practical steps in order to take effective measures
regarding the religion based entrepreneurship. This will not only increase the policy measures
but also help in increasing awareness about religion based entrepreneurship.
Key Words: Religiosity, Ent repreneurial Intention, Ecopreneurial Intention, Self-Efficacy, Research
Paper
Group Members
Asjid shuja
i21-1009
Eesha shahid 121-0060
Talal ahmed i21-0020
Supervisor
Ms. Sarah Khan
Effect of' Religiosity on Entrepreneurial
Intention: Moderating Role of Self- Efficacy
*
Self-Efficacy ·~
:-----------------------------1
!
Entrepreneurial
j
j fl!
Intention
: &~ i
l~_Q ___________________ ~_WJ
1------~~~~~:~~~:;~;----- ·1
iO~""\ Intention
~ j
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II
Promote sustained, inclusive economic growth and decent work for all.
II
Reduce inequality within and among countries.
II
Promote peaceful and inclusive societies, ensuring access to justice.
Area of Study:
Marketing
Supervisor Name:
Ms. Sarah Khan
Group Members:
Asjid Shuja i210009
Eesha Shahid i210060
Talal Ahmed i210020
FAST NUCES ISLAMABAD CAMPUS
Sentiment Dynamics in Ride-Hailing Services: An Aspect-Based Approach
to Understanding User Sentiments Over Time
The growing dependency on ride-hailing services like Uber, Careem, Yango, and lnDrive has
resulted in an increased demand for businesses to gain insight into customer experiences. This
research utilizes Aspect-Based Sentiment Analysis (ABSA) to analyze user reviews and pinpoint
major service aspects such as price, driver attitude, safety, app usability, and customer service.
Using Natural Language Processing (NLP) techniques, this study aims to reveal user sentiment
trends using publicly available data sources such as Google Play Store. The study's results will
act as a guide for ride-hailing firms to improve service quality, resolve customer issues, and
create more customer satisfaction by addressing customer pain points.
Key Words: Ride-Hailing, Sentiment Analysis, Customer Feedback, Service Improvement, Machine
Learning
Supervisor
Ms.S<1'i:1hKln:1•\
Group Members
E"rnan Ghaza"lfar i2l i-OlcY1;
MyleAhmed (21i-()(X)2)
I l;imn01 lftikh;ir :;11 i 0017)
(Xmiy<i Sharn!>i (2li-0042
Sentiment Dynamics
in Ride - Hailing
Services
An Aspect-Based Approach to
Understanding User Sentiments Over Time
~areem
Uber
~ Deliverables
~
Data-driven lnsl~hts on customer
~
sentiments & pain points.
~e<:ommendations for improving
ride-hai ling services.
~
Final report detailing findings &
(Jmll industry applications.
YAN GO
i)
Area of Study:
Marketing
Supervisor Name:
Ms. Sarah Khan
Group Members:
Daniyal Shamsi (i21- 0042)
Hamna lftikhar (i21 - 0012)
Eiman Ghazanfar (i21- 0104)
Myle Ahmed (i21-0002)
FAST NUCES ISLAMABAD CAMPUS
Investigating The Effect of Al-Generated
Marketing Material on Consumer Purchase Intention
Introduction & Research Focus
With the rise of artificial intelligence in marketing, brands increasingly experiment with using Al-
generated content, such as product photography and advertisements, to engage consumers.
However, Generation Z, known for its digital literacy and emphasis on authenticity, may perceive
Al-generated marketing differently from human-created content. Despite its growing adoption,
limited empirical research exists on whether Al-generated marketing effectively influences
consumer brand perception, and consumer purchase intention. This study explores the effect of Al-
generated marketing on Generation Z, comparing it with human-generated content to determine
its effectiveness and implications for modern marketing strategies.
Key Words: Al-Generated Content, Consumer Purchase Intention, Brand Perception, Generation Z Marketing
Framework
e INVrnTIGATING THE EFFECT OF
Al-GENrnATED MARKHING MATERIAL
ON coNgUMER PURCHAg[ INTENTION
l
A.I Generated
OVERVIEW
Supervisor: Dr. Haider Ali
Content (AIGC) IL
Consumer
This study explores how Al-generated
Group Membm:
Brand Perception _. Purchase
marketing content influences Generation Z's
Lf
Intention
f--
purchase decisions compared to human-
Haseeb Baig. i19-0007
Human Generated
created content. With the rise of Al-driven
branding and advertising, understanding
Zainab Hagsan. i20-1666
Content (HGC)
i
its impact on consumer perception,
Abdul Samad. i20-0017
authenticity, and trust is crucial.
I
~
OBJECTIVrn
~~
A.I
~
• To examine Ceneration Z consumers' perceptions
Area of Study:
of Al-generated & human-m ade m arketing
L..::-
content.
To examine the effect of these perceptions on
~ -
Marketing
their purchase inte ntions.
To a ssess wne ther brand perception mediates
HUMAN
Supervisor Name:
the relations hip between Al generated/human-
~r.
m ade content and cons umer purchase intention.
Dr. Haider Ali
'"'"'""'"'.
l
Group Members:
I
A.I Generated fl
Haseeb Baig (i19-0007}
Content (AIGC)
Consumer
Brand Pen:eption ~
Purchase
I
Human Generated V"
Intention
Zainab Hassan (i20-1666}
Content (HGC)
T
Abdul Samad (i20-0017}
FAST NUCES ISLAMABAD CAMPUS
A Qualitative study on the adoption of Virtual Reality {VR) in real estate
focusing on its growing role in property sales and customer engagement. We have conducted
extensive research on industry trends and challenges, particularly in Sales, adoption, technology,
and accessibility. So far, we have interviewed 20 real estate professionals and buyers to gather
insights into how VR is being integrated into the market. The findings highlight how VR is being used
to enhance property tours, streamline sales processes, and improve customer decision-making.
Companies are leveraging VR to showcase properties remotely, creating a more immersive and
efficient buying experience. The research also explores the evolving role of technology in real estate
marketing and its potential to reshape industry practices. Moving forward, we will continue to
analyze these developments and assess the impact of VR adoption on the market.
Key Words: Virtual Reality (VR), Real Estate Marketing, Customer Experience (CX), Technology Adoption,
Property Visualization
Superviser: Ma'am Sara Khan
Project By: Shaheer Ahmad(21i-0108)
Mohid UI Haq(21i-0011)
Haroon Haneef(21 i-0065)
Virtual Reality In Real Estate
Marketing
-
Objectives
Collect User & Finn Insights
Assess Impact on Decisions~
Identify Challenges
Evaluate VR's Influence & .Advantage
Assess VR Costs & Feasibility
Assess VR's Role in Property Marketing
&Engagement
Area of Study:
Marketing
Supervisor Name:
Ma'am Sara Khan
Group Members:
Shaheer Ahmad {21i - 0108)
Mohid UI Haq {21i - 0011)
Haroon Haneef {21i - 0065)
FAST NUCES ISLAMABAD CAMPUS
Influence of Gamification in Hyper-Casual Game Elements on Brand
Engagement Through Key Gamification Features
Consumers interact with brands on multiple psychological and experiential factors similar to how
consumers formulate their preferences in various facets of life. This research explores the impact
of certain gamification elements on brand engagement, specifically in the hyper-casual games'
parameters. This study derives from an identified gap on why specific gamified features can possibly
enhance brand engagement whereas other fail to create an indelible mark. Hence, we aim to
investigate key elements such as fun, storytelling, mechanics, aesthetics & rewards to understand
their roles in molding users' brand perception and interaction via the mediating variable immersion.
The study dives into existing literature to provide a comprehensive study to identify existing gaps
and develop our own theoretical framework on these elements and their influence on brand
engagement. After this is established, we will collect data from online surveys and analyze the
underlying reasons. This research will conclude by presenting potential recommendations to
enhance engagement through gamification that can help in practical and academic aspects for
readers.
Key Words: Gamification, Hyper-Casual Games, Game Elements, Brand Engagement, Gamification Features
x
luence of Gamlftcatlon In
p~r-Casual Game Elements
Supervtoor I ~
on Brand Engagement Thro~gh Sarah "han ~
~ey Gaml1tcat1011 Features
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liamificatian is an •m•rging stratagy in markating ,
lnta;ratlng game alamants lnta nan-gama cantaHts
ta enhanca consumar engagamant. This study
aMamln•• haw fun. •tarytalllng,
·~ machanics, aasth11tics. fi rawards
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Impact brand angagamant In
hyper-casual gamas.
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iH•nln• haw g•N• •l•n•nt• fa•t•r
lmm•r•lan In hypar-c.••u•I 11•m••·
Rfl•l11•• t.t1• Impact of run, •torytalll"I·
1r1•ch1nlc11;, •••thetlcs & rew•rds on
•A p_p r o • c. tiJ Q u • n tit• ti u • •mp i r i c •I r • • • • r ch.
•Partlclpentsl 300-350 respondents famll l ar 1.11lth
g•mlfted br•nd •Hperi•nc••·
·D•ta [ollectlonl Online: surue:us.
~
rr
•Analysls Tt1als j Structural Equation modellng [SEm)
,
using SPSS end SmertPLS .
,
fl
Area of Study:
Marketing
Supervisor Name:
Sarah Khan
Group Members:
Syeda Hussain Fatima (i21 - 0056)
Laiba Khurrum (i21 - 0098)
Amna Habib (i21 - 0084)
FAST NUCES ISLAMABAD CAMPUS-----
Impact Of CSR & Social Media Advertising On Boycott Intention With The Mediation Of
Brand Stren th In The Fast Food & Bevera e Industr
The ever-changing global markets present new problems for companies, especially when unforeseen
circumstances occur in their target regions, which could lead to prominent disruptions in their
business operations mainly in the form of consumer boycotts. This study is being carried out to
address a gap in the prior research by examining how subjective norms affect the effectiveness of
while accounting for the role played by brand strength. After discovering the underlying fundamental
factors and reasons behind these dynamics, the study made it to its core ideology, where future
strategic responses were discussed. Understanding these shifts will help companies to formulate
effective strategies to diminish the impact of consumer boycotts and strengthen their brand reputation
in an unpredictable market.
Su1»eni-.;or:
f\11s. Sidra Abbas
Group Members:
Amna Fahecm 211--0008
:\·hr)·am Khan 211-0003
H:i~h a Ghuni 2 11-0022
Muhammad Arham Kashir 2 11-0005
Impact of CSR & Social Media Advertising on Boycott Intention
With the Mediation of Brand Strength in the Fast Food & Beverages
Industry
ln today's digital age, CSR plays a crucial role in shaping brand perception, 1'hile
misleading ads or CSR failures can lead to consumer boycotts. This stud~· examines the
impact of CSR and social media ad,·crtising on boycott intention, "'ith brand !!itrcngth
a.-; 11 mediator and suhjccti"c IMJ~ as a modt'f'alor in the fll!'.'it-food indu!iitry. The
findings will pro,·ide nluable guidtmce for brands •o minimize b11cklash and rosier long-
•erm customer loyalty.
OBJECTIVES OF THE STUDY
CSR, Social Media Advertising, Brand Strength,
Subjective Norms, Boycott intention
Area of Study:
Marketing
Supervisor Name:
Sidra Abbas
Group Members:
Arham Kashif (i21-000S)
Amna Faheem (i21-0008)
Rimsha Ghani(i21-0022)
Maryam Khan (i21-0003)
FAST NUCES ISLAMABAD CAMPUS
Insights from a Reselling E-commerce Platform
in a Developing Economy
Markaz is a reselling platform focused on accessible entrepreneurship. This project analyzes
customer data to enhance marketing, acquisition, and retention strategies. Using SQL for data
extraction and Power Bl/Tableau for analysis, it segments customers based on CLTV and identifies
key trends affecting retention, order value, conversion rates, cart abandonment, and revenue
distribution. By addressing challenges unique to developing markets, the research optimizes
targeting strategies, improves stock availability, and enhances customer loyalty. The findings
provide data-driven recommendations to strengthen Markaz's growth and contribute to the
broader understanding of e-commerce dynamics.
Key Words: Customer Lifetime Value (CLTV), E-commerce, Customer Retention, Average Order Value
(AOV), Conversion Rates
GROUP MEMBERS
Hibba Rehan (21i-OOSn, Huda Tasneem (21i-00891,
Urooj Qureshi (2li-0017)
SUPERVISOR
Sarah Khan
(MARKETING ANAL YT/CS)
UNLOCKING OPPORTUNITIES:
RESELLING E-COMMERCE IN A DEVELOPING ECONOMY
INTRODUOION
CUSTOMER LIFE TIME VALUE
Analyzing customer data to deliver
actionable insights that enhance
acquisition and retention strategies,
unlocking the full potential of
E-commerce and reselling in
emerging markets.
CUSTOMER METRICS
KEY INSIGHTS
• Distribution of Cl TV across the customer base
• Characteristics of high·CL TV customers
• Ret ention st rategies for low·CLTV customers
Estimates the total revenue a
company can expect to earn
from a customer throughout
their entire relationship.
TO LEARN MORE
CUSTOMER SEGMENTATION
IOGHVAlUI
IUD YAlll
LOW VALUE
Ii
Area of Study:
Marketing Analytics
Supervisor Name:
Ms. Sarah Khan
Group Members:
Huda Tasneem (i21 - 0089)
Urooj Qureshi (i21 - 0017)
Hibba Rehan (i21 - 0057)
FAST NUCES ISLAMABAD CAMPUS
"HOW CUSTOMER ATTENTION SPAN RESPONDS TO SHORT
MARKETING STRATEGIES IN COMPARISON TO TRADITIONAL
MARKETING STRATEGIES IN TODAY'S TIME."
Digital Platforms like Instagram & TikTok, marketing content on such platforms has become a key
strategy for engaging customers. However, this shift raises concerns about the impact on consumer
attention span and their behavior. The study explores how short marketing affects consumer attention
comparable to traditional marketing strategies. The research focus on key areas like; Attention span
trends, engagement patterns, marketing strategies and physiological impact.
With the help of machine learning techniques which include sentiment analysis and topic modeling,
this study examines consumer reactions to short marketing content on social media platforms. The
findings aim to help marketers and businesses to develop effective strategies for capturing and
maintaining consumer attention in an era of fast-paced digital content.
Keywords: consumer attention, attention span, digital engagement, short marketing.
Under th• auf)9rvlalon of
Sir Hammad M•J••d
Area of Study:
Marketing
Supervisor Name:
Mr. Hammad Majeed
Group Members:
Khunsa U smani (21 I-0091)
Haniaa Khan (21!-0069)
Rimal Amir(21I-0049)
Uswa Ahmad (21!-00110)
FAST NUCES ISLAMABAD CAMPUS
Women Leadership: A Comprehensive Training Manual for Leadership
Excellence
Women continue to face substantial barriers in their journey towards leadership, including gender
bias and self-doubt which obstructs their advancement into leadership positions. Several studies
have emphasized the importance of tailored training programs focused on empowering women
through skill development and confidence building. Hence, this training manual serves as a
structured self-developmental resource to help women develop leadership skills. It encourages
inclusive leadership by preparing women with key skills, self-confidence and leadership strategies.
The manual compiles leadership knowledge from research literature, insights from industry experts
and real-life case studies that collectively build an extensive leadership learning guide. The training
manual consists of key modules like emotional intelligence, networking and mentoring,
communication and public speaking, resilience and self-efficacy. The manual also provides both
strategic frameworks and self-assessments that facilitate women in overcoming individual and
workplace barriers. Women can elevate their career growth with this initiative that assists them in
overcoming professional obstacles and achieve organizational success.
Key Words: Women Leadership, Career Development, Emotional Intelligence, Networking and
Mentoring, Resilience
Group Members:
Rafia Shahid 2fr0004
Fatima Ahmed 22i·0165
Hania lmtinan 2li·0015
Supervisor:
Dr. Sadia Nadeem
WOMEN LEADERSHIP: A COMPREHENSIVE
TRAlNJNG MANUAL FOR LEADERSHIP
EXCELLENCE
Emotional
Intelligence
Self-Assessments
TH E F IVE C ORE MODULES
D ELIVERABLES
Activities
Casclcts
Tcdx Talks
OBJECTIVES
A guide for female professionals at the initial stages of their careers to navigate
leadership challenges and excel in top management roles by:
• Developing emotional intelligence for effective leadership.
• Cultivating resilience co navigate challenges and succeed.
• Overcoming self-doubt to boost confldcncc.
• Improving communication a nd~rpu
~btiJ~· -~
• Building strong networks for ,~~~~
Area of Study:
HR
Supervisor Name:
Dr. Sadia Nadeem
Group Members:
Rafia Shahid (i21 - 0004)
Hania lmtinan (i21- 0015)
Fatima Ahmed (i22 - 0165)
FAST NUCES ISLAMABAD CAMPUS
Analyzing Customer Reviews to find CRM, Customer Loyalty, and Brand
Image through Topic Modelling
In today's digital world, a brand's success isn't just about what it sells, it's about how it connects
with customers. Customer opinions shape brand perception, making it crucial for businesses to
analyze reviews effectively. However, extracting meaningful insights from large volumes of
unstructured data remains a challenge. Our research explores how customer relationship
management (CRM) influence customer loyalty and brand image. By analyzing real customer
reviews, we uncovered hidden patterns that reveal what truly drives consumer perceptions and
engagement.
To achieve this, we collected data from platforms like Trustpilot. Using advanced text mining
techniques, including topic modeling, we systematically identified key themes in customer reviews.
These insights highlight consumer expectations, pain points, and preferences, helping businesses
refine their CRM strategies for improved customer engagement and retention. Ultimately, our
research provides a data-driven approach that enables brands to strengthen their competitive
position, enhance brand loyalty, and foster long-term customer relationships.
Key Words: Customer Relationship Management, Brand Image, Customer Loyalty, Online Reviews, Topic
Modelling
Presented by:
Supervisor:
Muhammad Farhan Dastager (211-0021)
Hammad Majeed
Laiba Noor (211-0027)
Haniya lrfan (211-0037)
Vaanya Malik (211-0068)
Analy_zing Customer Reviews to find CRM, Customer
Loy_alty, and Brand Image through Tonic Modelling
• To examine the challenges that
arise in analysing customer
reviews
to
be
addressed
through topic modelling
• To identify themes or topics
show up in customer review
analysis that contribute to
customer loyalty and brand
image
• To explore how brand image,
customer loyalty, and CRM be
Improved with
the
use of
customer review insights
This study points out how topic
modelling can revolutionize the
approach
businesses
take
to
customer feedback. No longer do
businesses only react to complaints
or compliments; instead, they can
proactively
take
actions
while
making knowledgeable choices that
are well in line with what customers
want. This will not only enhance
customer
satisfaction
but
help
companies grow and thrive.
Methodologx
Data Collection
Data Scrapping
and Preprocessing
Data Reviewing
LOA Topic
Modelling
Evaluation and
Results
*
Trustpilot
Tools & Technologies
SDG'S
t'H'll'll'll'l
•
.. ,fitbit
Area of Study:
Marketing, Analytics, Technology
Supervisor Name:
Mr. Hammad Majeed
Group Members:
Muhammad Farhan Dastager (i21 - 0021)
Laiba Noor (i21 - 0027)
Haniya lrfan (i21 - 0037)
Vaanya Malik (i21 - 0068)
FAST NUCES ISLAMABAD CAMPUS
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)
Mehdia Fatima (2li-0058)
Shehryar Im ran (2li-0026)
Ashveena Zahra (2l i-0105)
IMPACT OF CUSTOMER REVIEWS ON SALES USING
MACHINE LEARNING TECHNIQUES IN THE AUTOMOBILE
INDUSTRY
Technical Framework
Data Pre-
Processing
Objectives
• To identify an optimal framework for sentiment analysis.
Prediction
Model
• To examine the challenges of analyzing customer reviews and
how this analysis helps in predicting sales.
• To evaluate the effectiveness of prediction model in predicting
future sales.
Tools and Technologies
..
...,
Area of Study:
Technology
Supervisor Name:
Mr. Hammad Majeed
Group Members:
Ashveena Zahra (211-0105)
Mehdia Fatima (211-0058)
Shehryar lmran (211-0026)
Uzair Shafqat (211-0043)
FAST NUCES ISLAMABAD CAMPUS
Autonomous Sentiment and Feature Extraction from Online Reviews for
Product Innovation in the Tech Industry: A Focus on Fintech Apps
Fintech applications generate vast user feedback, yet traditional sentiment analysis fails to capture
feature-specific insights. This research develops an Al-powered framework using Aspect-Based
Sentiment Analysis (ABSA) and Explainable Al (XAI) to analyze fintech app reviews. By extracting
granular sentiment trends on security, transaction efficiency, and user experience, we aim to
provide real-time consumer intelligence that enables fintech firms to make data-driven product
enhancements. Our study bridges the gap between Al-driven analytics and fintech decision-making,
ensuring greater transparency, trust, and user-centric innovation.
Key Words: Aspect-Based Sentiment Analysis (ASSA), Explainable Al (XAI), Machine Learning (ML), Fintech
Consumer Insights, & Data-Driven Product Innovation.
Area of Study:
Artificial Intelligence (Al) & Machine Learning
(ML) in Fintech
Supervisor Name:
Mr. Hammad Majeed
Group Members:
Ali Ahmed (i21-1407)
Dania Malik (i21-1441)
Faria Khan (i21-2609)
FAST NUCES ISLAMABAD CAMPUS
FAST NUCES ISLAMABAD CAMPUS

AI enrichment