2024-25

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A Study on The Consumer Behavior and Impulse Buying Patterns at Big Basket
(NHCE, 2025) MOHAN.N-1NH23BA088
In today’s fast-paced digital world, understanding how consumers behave—especially in the online grocery segment—has become more important than ever. This study takes a deep dive into consumer behavior and impulse buying patterns specifically within Big Basket, India’s leading online grocery platform. With the rise of e-commerce and changing lifestyles, customers are now more inclined toward convenience-driven shopping, and this shift has profoundly influenced their buying decisions. Big Basket, being a pioneer in the Indian e-grocery market, offers the perfect case to explore how digital touchpoints, user experience, promotions, and personal factors impact consumer decisions, particularly unplanned or impulse purchases. The project is driven by the need to decode the motivations behind why and how consumers make online purchases—especially those that are not pre-planned. It addresses a critical question in today’s marketing landscape: what encourages a customer to move from intention to action in an online cart, especially when it comes to buying groceries, which are often perceived as need-based items? The study sets out with clear objectives—to identify patterns in consumer behavior, examine the factors influencing impulse buying, and suggest strategies Big Basket could employ to enhance customer engagement and sales.
Six Sigma Implementation in Healthcare
(NHCE, 2025) Karteek Krishnaji Kulkarni 1NH23BA061
The healthcare industry is incredibly important and sensitive worldwide, as the quality and precision of care directly impacts patient outcomes. However, this sector frequently struggles with issues such as medical errors, long patient waiting times, inefficient processes and execution, high costs, and inconsistent care. Because of these challenges, it is growing increasingly crucial for healthcare to adopt systematic methods for improving quality. Six Sigma is a proven, data-driven and efficient method for improving processes, and it is making a big change in healthcare sector and in other industries as well. Created by Motorola in the 1980s, Six Sigma helps to boost the operational excellence by breaking down on variations and defects occurred. This project examines how Six Sigma tools and principles that can be applied in healthcare to improve both clinical and administrative tasks, while all prioritize on patient safety and satisfaction. Healthcare is increasingly adjusting Six Sigma, a powerful, data-driven and efficient approach to process improvement first developed by Motorola in the 1980s. As the core Six Sigma's objective is to accomplish top-tier operational performance by decreasing the occurring defects and process variability. This project will demonstrate the application of Six Sigma.in healthcare to enhance both patient care and administrative efficiency, ultimately making sure higher patient safety and satisfaction throughout. From its origin at Motorola in the 1980s, Six Sigma is structured and data-driven methodology for improving processes has become a valuable tool across many sectors including healthcare. Its primary objective is to achieve operational excellence by significantly reducing process variability and reducing defects. This project will help to explore the practical application and positive effects of Six Sigma in healthcare examining how its established principles and tools can change clinical and administrative functions while maintaining patient safety and satisfaction.
A Study On Stock Price Prediction Using Arima Model
(NHCE, 2025) Kadaguru Sadara Abhilash 1NH23BA060
In financial analytics, stock price prediction is still and difficult tasks, nonlinear, and dynamic, undergoing various changes in every moment. It is ever more a quest by investors, traders and the financial institutions to be accurate forecasting models so make informed investment decisions to manage risk properly. It is within this framework that statistical time series modelling such as ARIMA (Auto Regressive Integrated Moving Average) has come in support as a basic instrument to be used in the study and forecasts of financial time series data. This paper seeks to review of the predicting stock prices, identify its strengths and weaknesses and give its application and implication in relation to financial forecasting. ARIMA is a family of linear models, and it joins three important factors, autoregression (AR), differencing the data to render it stationary (I), and moving average (MA). It is represented by ARIMA(p, d, q) wherein p is the lag observation ,d is the number of differencing to get the model stationary and moving average window. The ability of the model to predict future points in a time series and use the dependencies between an observation and past values is one of the main strengths of it. Historical stock prices of specific companies with references to mainly the closing date of stock that was of keen interest in the study. The missing data was imputed after the pre-processing of the data and the first or second order differencing was used data steady. Augmented Dickey-Fuller test was tools that were used in confirming stationarity, and plots, including partial autocorrelation (PACF) and autocorrelation (ACF), could show the optimal parameters.
A Study On Understanding Customer Views On Insurance Service
(NHCE, 2025) Kavitha V 1NH23BA062
This study dives into how customers view the services offered by TATA AIG Insurance in Bangalore. In a field as crucial as insurance—where people are trusting companies to safeguard their health, property, and future how customers feel about their provider is just as important as what’s on paper. In today’s competitive landscape, companies need more than great products—they need strong relationships and a deep understanding of customer perception. TATA AIG stands out as one of India’s most trusted insurance providers, with a strong reputation across both life and non-life insurance services. Its commitment to quality and dependable service has helped it flourish in an increasingly crowded marketplace. What adds weight to its presence is its connection to the TATA brand a name deeply respected and valued by consumers across India.
Optimizing Hub Operations through Artificial Intelligence
(NHCE, 2025) Mohammmed Saheem V 1NH23BA086
This report titled “Optimizing Hub Operations through Artificial Intelligence” provides a comprehensive overview of how Artificial Intelligence (AI) can revolutionize supply chain and logistics operations at the hub level, particularly within fast-paced quick-commerce ecosystems. The report is a result of my three- month hands-on internship experience as a Deputy Hub Manager at Zepto, a company renowned for its promise of 10-minute grocery deliveries. The objective of this project is to combine theoretical research on AI applications with practical insights from real-time operational exposure, thereby creating a roadmap for AIdriven efficiency in First Mile (in-store operations) and Last Mile (delivery) logistics. Context and Industry Landscape Zepto operates in the quick-commerce (Q-commerce) domain, a rapidly growing segment in the retail and e-commerce space, where the core offering is ultra-fast delivery of daily essentials. The success of this model hinges on the seamless integration of technology, manpower, and logistics at the micro- fulfillment hub level. With consumer expectations rising and competition intensifying, optimizing operations using intelligent systems has become not just a value-add, but a strategic imperative. During my internship, I was entrusted with responsibilities that spanned across both First Mile and Last Mile logistics. These experiences gave me in-depth exposure to operational complexities—ranging from inventory inaccuracies and rider management issues to order prioritization, real-time performance monitoring, and delivery delays. This executive summary outlines the core challenges faced in hub operations, the areas most suitable for AI adoption, and the expected improvements in performance, speed, and cost savings.
The Transformative Role of AI in Modern Recruitment: An In-Depth Analysis
(NHCE, 2025) Mohammed Rayan Abdul Majid 1NH23BA085
The talent acquisition landscape has undergone significant transformation in recent years. Fueled by rapid advancements in digital technology and automationMore and more businesses are using artificial intelligence. (AI) to enhance and streamline their hiring processes. This comprehensive project explores the pivotal role of AI in contemporary recruitment, its expanding influence on management of human resources, and the important need to find a balance between how well technology works and how well people can think for themselves. AI in recruitment involves deploying methods for machine learning and natural language processing (NLP), and sophisticated data analytics to execute tasks traditionally handled by HR professionals. These responsibilities include initial resume screening, matching candidates to job specifications, scheduling interviews, and even conducting preliminary assessments through video analysis. The primary objective is not to eliminate human interaction but to significantly improve the speed, precision, and overall effectiveness of recruitment decisions.
Blockchain technology and Decentralized Finance are revolutionizing financial systems.
(NHCE, 2025) Manu Bhargav Lc 1NH23BA081
Over the past decade, the global financial ecosystem has witnessed important transformations catalyzed by digital technologies.One of the deepest innovations in this field is blockchain technology, which underlies a wide range of applications, especially in the financial sector. In addition to blockchain, there has been a new disruptive move to replicate and improve traditional financial services using decentralized protocols. Together, blockchain and challenges change the fundamental principles of trust, transparency and mediation in the financial system. Historically, financial services were primarily based on centralized authorities such as banks, governments, compensation, and intermediaries, and fulfilled transaction, file management and contractual obligations. Important role in the global economy, they often suffer from restrictions such as high transaction costs, limited availability, bureaucratic inefficiency, and vulnerability to corruption or refusal to unity. Moreover, billions of people around the world remain either not significant or inadequate because traditional institutions cannot cover distant or inadequate regions. The advent of blockchain technology, introduced worldwide via Bitcoin in 2009, proposed a new paradigm of digital transaction without the need for a centralized oversight. Blockchains, including the exchange rate of memos (P2P) with encryption security and distributed consensus, represent the foundations of transparency, security and protection. This allows us to record transactions in a decentralized network, considering reducing dependence on confidence intermediates. Based on blockchain-based distributed finance (DEFI), it has transformed into a trusted ecosystem of financial applications that use intellectual contracts for blockchains such as Ethereum to automate and promote financial services. These include lending, borrowing, trade, insurance and asset management, which are carried out without traditional gatekeepers.
Fintech and the future of finance
(NHCE, 2025) Manjunath k 1NH23BA079
FinTech's simplified financial transactions help consumers and companies both by making them easier and less expensive to use. This category could also include companies and services that employ encrypted technology, big data, and artificial intelligence to allow secure internal network transactions. Financial technology basically makes transactions simpler by eliminating unnecessary processes nobody needs. One example is the ease of mobile payment methods like Google Pay or Paytm, which let you transfer funds to another person's bank account whenever you wish, day or night. But the receiver would need to go to the bank to deposit the money if you preferred to pay with a check or cash. This study aims mostly to explore how financial institutions' adoption of financial technology (FinTech) has greatly affected the banking industry. Using the measurement of the CAMEL assessing tool, this study investigates the link between FinTech and financial stability as well as text-mining analysis on the financial statements of 48 European corporate banks from 2015 to 2024 to ascertain the extent of FinTech each financial institution possesses. The study shows that bank FinTech is positively associated with a number of variables including capital sufficient, asset quality, management performance, potential profitability, and liquidity. Banks as a whole might profit from the use of bank FinTech. This study produces the very first bank FinTech index for European commercial banks by means of text-mining techniques. Using the CAMEL framework, this index is created.
A study on impact of compensation strategies on employee performance
(NHCE, 2025) Mansi k Pokar 1NH23BA080
In today's competitive business environment, organizations are increasingly recognizing compensation as a critical strategic tool that goes beyond mere cost management to become a driver of employee engagement, retention, and performance. The relationship between compensation strategies and employee performance has emerged as a pivotal area of study in human resource management, as companies strive to optimize their investment in human capital while achieving sustainable organizational growth. This comprehensive research investigates the intricate relationship between compensation strategies and employee performance within the contemporary organizational framework. The study examines both monetary and non-monetary compensation elements, analysing their individual and collective impact on employee motivation, productivity, and overall organizational effectiveness. Through a systematic approach combining theoretical frameworks with empirical analysis, this research aims to provide actionable insights for HR practitioners and organizational leaders.
Comparative effectiveness of active and passive investment strategies
(NHCE, 2025) Mohammed Hisham 1NH23BA084
This comprehensive study examines the comparative effectiveness of active and passive investment strategies through rigorous analysis of 50 mutual funds over a five-year period (2019-2023), incorporating performance data, cost structures, and behavioral insights from 500 investor surveys. The research addresses the fundamental question of whether active management's potential for outperformance justifies its higher costs and increased complexity compared to passive investing's systematic market exposure approach. The analysis reveals a nuanced investment landscape where passive strategies demonstrate clear superiority in risk-adjusted, after-cost returns for most investors over extended time horizons. While active funds generated marginally higher gross returns averaging 12.4% compared to 11.8% for passive funds, this 0.6 percentage point advantage becomes meaningless when adjusted for risk and costs. Passive funds achieved superior Sharpe ratios of 1.12 versus 0.84 for active funds, indicating better risk-adjusted performance. Most significantly, the substantial cost differential—active funds averaging 1.75% expense ratios compared to 0.30% for passive funds—creates a compounding disadvantage that dramatically impacts long-term wealth accumulation.
A Study On Portfolio Management Strategies For Retail Investors
(NHCE, 2025) Meda Maneesha 1NH23BA082
The Indian financial markets have witnessed an unprecedented transformation in retail investor participation concluded the past decade, with the number of demat accounts surging from approximately 2 crores in 2014 to over 8 crores by 2024. This remarkable growth, accelerated by the COVID-19 pandemic and the digitization of financial services, has fundamentally altered the investment landscape and created new challenges and opportunities for individual investors. The democratization of market access through platforms like Zerodha, Groww, and Upstox, combined with the proliferation of mutual funds, ETFs, and systematic investment plans, has empowered millions of retail investors to participate directly in wealth creation through equity markets. However, this unprecedented access has also exposed the critical gap between theoretical portfolio management principles and their practical implementation among small investors with limited capital, knowledge, and experience. This thorough investigation, "A Study on Portfolio Management Strategies for Retail Investors," tackles the pressing need to comprehend and assess the efficacy of several portfolio management techniques that are especially suited to the particular situation of Indian retail investors. While extensive academic literature exists on portfolio optimization and asset allocation, most research focuses on institutional investors or high-net-worth individuals with substantial resources and professional management support. The distinct challenges faced by retail investors—including limited capital for diversification, proportionally higher transaction costs, behavioural biases amplified by emotional decision-making, and lack of sophisticated analytical tools—require specialized research and tailored solutions that existing literature inadequately addresses.
A Study on the environmental factors responsible for IDBI bank’s performance
(NHCE, 2025) Kiran S R 1NH23BA069
The banking industry, which is the focus of my project, is quite complex. Working in this field can be challenging and stressful. At times, I felt so frustrated that I considered abandoning the project for a different industry or venture. The challenges I faced while working on this project included keeping track of our products and those of our competitors. The banking sector offers similar products, making it hard to distinguish between our services and those of others. Our target customers were very busy, which made it tough to get their time and insights on specific questions. The sensitivity of the industry also added to the difficulty; measuring certain aspects accurately was crucial. The project covered a large area, making it hard to connect the views of customers and respondents. Every financial customer has unique needs, and it was not possible to customize products to meet all of these requirements. These challenges sometimes made me want to quit the project. However, I managed to completed it despite the obstacles. In the project I analyzed the factors influences the performance of IDBI Bank in today's competitive world. This study is at the major and important environmental factors affecting IDBI Bank's performance. It focuse on interaction b/w external force and the bank's internal strategies. As a key player in India’s banking sector, IDBI Bank operates in a challenging environment shaped by economic, political, technological, socio-cultural, and regulatory factors.
Analysis on Attrition and Resignation in current market
(NHCE, 2025) Keerthana S N 1NH23BA065
The contemporary business landscape has witnessed unprecedented levels of employee attrition and resignation, fundamentally reshaping organizational dynamics and human resource management strategies. This comprehensive study examines the multifaceted nature of employee turnover at Intertec, a leading IT services company, within the broader context of current market conditions that have contributed to what many term "The Great Resignation" and subsequent workforce transformation trends. Intertec, established in 1995 and employing approximately 15,000 professionals globally, has experienced a dramatic increase in attrition rates from 12% in 2019 to over 28% in 2023. This escalation represents a critical challenge for the organization, impacting project delivery, client relationships, and operational costs by approximately 15% over the past three years. The company's experience reflects broader industry trends, as the IT services sector faces intense competition for skilled professionals amid rapid technological change and evolving employee expectations. The research encompasses an extensive analysis of attrition patterns across the IT services industry, examining demographic segments, organizational structures, and market dynamics spanning the critical period from 2020 to 2025. This timeframe captures the significant disruptions caused by the COVID-19 pandemic, the subsequent economic recovery, and the evolving expectations of technology professionals who now prioritize flexibility, purpose- driven work, and continuous learning opportunities. Key findings reveal that traditional retention factors such as compensation and career advancement opportunities remain significant drivers of employee turnover, but they have been joined by newer considerations including work-life balance, remote work flexibility, organizational culture alignment, and meaningful project assignments. The study demonstrates that attrition rates have reached historic highs in the technology sector, with mid-level engineers, project managers, and technical leads being particularly affected. The financial impact extends beyond replacement costs to include knowledge loss, project disruptions, and potential client satisfaction issues.
Keerthan 1NH23BA064
(NHCE, 2025) Kavya 1NH23BA063
The Unified Payments Interface (UPI) represents one of India's most transformative financial innovations, fundamentally reshaping the nation's payment ecosystem and accelerating progress toward a comprehensive cashless economy. This research investigates the multifaceted relationship between UPI adoption patterns and India's strategic objectives for digital financial inclusion, examining both the measurable impacts and underlying mechanisms driving this technological revolution. Research Context and Significance India's journey toward a cashless economy gained unprecedented momentum following the demonetization initiative of November 2016, which catalysed widespread adoption of digital payment mechanisms. The subsequent introduction and rapid scaling of UPI technology created a paradigm shift in how Indians conduct financial transactions, from peer-to-peer transfers to merchant payments and government disbursements. This study addresses the critical need to understand how UPI adoption directly correlates with broader cashless economy objectives, providing empirical insights into the effectiveness of India's digital payment infrastructure. The significance of this research extends beyond academic inquiry, offering practical implications for policymakers, financial institutions, and technology providers seeking to optimize digital payment ecosystems. By analysing UPI's impact on financial inclusion, transaction costs, operational efficiency, and economic behaviour patterns, this study contributes valuable knowledge to the global discourse on digital payment transformation in emerging economies. Research Objectives and Scope The primary objective of this research centers on evaluating the causal relationship between UPI adoption rates and the achievement of India's cashless economy targets. Specifically, the study examines how widespread UPI usage influences key performance indicators including digital transaction volumes, cash circulation patterns, financial inclusion metrics, and economic efficiency measures. Secondary objectives encompass analysing demographic variations in UPI adoption, identifying barriers to universal acceptance, assessing the role of government initiatives and private sector innovation, and evaluating the socioeconomic implications of rapid digital payment adoption. The research scope covers the period from UPI's launch in April 2016 through December 2024, providing comprehensive longitudinal analysis of adoption trends and impact patterns.
A Study On Customer Towards Electric Vehicles And Future Demand On EV Manufacturing
(NHCE, 2025) Kiran Gowda A R 1NH23BA068
This study aims to explore customer attitudes towards electric vehicles (EVs) and their potential impact on the future demand for EV manufacturing. A stratified random sampling technique was used to collect data from 60 respondents of different demographics. The study found that a majority of respondents hold a positive attitude towards EVs, with environmental concern and cost savings on fuel being the primary reasons for their interest. limited range and availability of charging infrastructure remain significant concerns for potential buyers. The study also identified factors such as government incentives and consumer awareness as critical drivers for increasing the adoption of EVs. The findings of this study have several implications for the EV industry and policymakers. Manufacturers need to address concerns related to charging infrastructure and range anxiety by investing in the development of more efficient batteries and expanding charging infrastructure. Policymakers need to provide more incentives for consumers to adopt EVs, such as tax credits and subsidies. This study also highlights the importance of consumer education and awareness campaigns to increase the adoption of EVs. Keywords: electric vehicles, customer attitudes, future demand, manufacturing, environmental concern, charging infrastructure, range anxiety, government incentives, consumer education.
Study On Employee Retention And Comparative Analysis
(NHCE, 2025) Keerthi Raj S 1NH23BA066
In today's knowledge-based economy of the 21st century, intellectual capital has come to be widely acknowledged as a critical asset in building sustained competitive advantage. Of all industries, the IT sector is especially dependent on high-quality human resources to fuel innovation, ensure client satisfaction, and provide intricate solutions. As such, retention of employees has become a central issue for talent-driven organizations, specifically among the Indian IT industry. This project discusses the theme of employee retention and conducts a comparative analysis of the approaches of Tata Consultancy Services (TCS), Infosys, and Wipro, three leading Indian IT companies.
A future and current trends on talent acquisition at sun mobility
(NHCE, 2025) Harshitha MK 1NH23BA048
Talent acquisition is a critical differentiator for businesses looking to preserve innovation, agility, and sustainability in the fiercely competitive and quickly changing business world of today. Companies like Sun Mobility must continuously modify their people strategy in order to draw and keep top talent, given the rise of cutting-edge technology, shifting worker expectations, and a notable trend toward green mobility and clean energy solutions. With a focus on Sun Mobility, an inventive Indian business dedicated to revolutionizing electric mobility with its distinctive energy infrastructure solutions, this research examines present and upcoming trends in talent acquisition. Operating at the nexus of clean technology, automotive engineering, and digital platforms, Sun Mobility is well-known for its battery swapping network and emphasis on environmentally friendly transportation. As a result, it requires a highly qualified, forward-thinking team that supports the company's goal of decarbonizing mobility. Sun Mobility's present talent acquisition procedures combine conventional hiring techniques with cutting-edge digital tactics, such as AI-powered sourcing tools, virtual onboarding procedures, and employer branding initiatives that emphasize their dedication to sustainability and innovation. This study examines how Sun Mobility has been modifying its hiring procedures to meet the needs of the workforce as well as how it intends to handle upcoming issues including the emergence of Gen Z professionals, hybrid work arrangements, and the need for highly skilled technical personnel. The study uses primary and secondary research to examine the company's hiring practices, including diversity and inclusion, internal talent mobility, partnerships with skilling platforms, college recruitment, and the incorporation of HR analytics. The project also provides a thorough analysis of upcoming trends, including the increasing use of AI in applicant screening, the function of remote evaluations, the use of predictive analytics for workforce planning, and the focus on candidate experience as a strategic objective. In order to give a gap analysis and suggestions that could improve Sun Mobility's talent acquisition efforts even more, these trends are contrasted with the current procedures. Although Sun Mobility has implemented a number of best practices in talent acquisition, the study finds that there is still room for innovation and strategic alignment to ensure that its human capital strategy is future-proof. The business can continue to draw in and keep the talent needed to spearhead India's electric mobility revolution by emphasizing agility, digital transformation, and inclusive hiring.
Decoding greenwashing: consumer awarness and the effect of misleading environmental claims on buying decisions
(NHCE, 2025) Iranna Basalingayya Mathad
As environmental consciousness grows globally, businesses increasingly integrate sustainability narratives into their marketing strategies. However, this has led to a troubling trend: greenwashing - the misrepresentation of environmental practices to appear more eco-friendly than reality. This deceptive practice undermines genuine sustainable businesses and distorts green marketing. ce detected, it significantly reduces consumer trust and brand equity (Krafft & Saito, 2019). TerraChoice's "Seven Sins of Greenwashing" framework identifies common deceptive practices including hidden trade-offs, lack of proof, vagueness, and false labeling. In India's context, with surging green marketing but limited regulatory oversight, many consumers lack tools to differentiate authentic from greenwashed claims, making this study particularly critical.
A Comparitive Analysis Of Internal Vs External Recruitment Strategies
(NHCE, 2025) Jasti Tejaswa Sathwika 1NH23BA051
The recruitment process plays a crucial role in shaping an organization's workforce, ensuring a competitive edge, and fostering growth. This analysis compares the two main recruitment strategies: Internal Recruitment and External Recruitment, examining their advantages, disadvantages, and implications for organizational effectiveness. Internal Recruitment Strategy Internal recruitment involves filling job vacancies with current employees from within the organization. This strategy often includes promotions, transfers, or reassignments. Organizations typically prioritize internal recruitment when aiming to build employee loyalty, capitalize on existing talent, and maintain morale.
A Study on the Impact of Mergers on Indian Banking Sector
(NHCE, 2025) Neelam Hasmukh Jain 1NH23BA050
The Indian banking landscape has historically been fragmented, with a mix of public sector banks (PSBs), private sector banks, and cooperative institutions. Over time, the government and regulatory bodies such as the Reserve Bank of India (RBI) have supported consolidation to create fewer but stronger financial entities capable of supporting a growing economy. The 2019 mega-merger of ten public sector banks into four, along with the earlier mergers of State Bank of India (SBI) with its associate banks, and the acquisition of ING Vysya Bank by Kotak Mahindra Bank, are some landmark cases that exemplify this trend.

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