<p><b>Independent Research: Forensic Analysis of Hindenburg's Report on Adani Group | BBA Semester II, Amity University (2023)</b></p><p>&nbsp;I Conducted a thorough forensic financial examination of Hindenburg Research's explosive short-seller report on the Adani Group, which is one of the most high-profile corporate governance scandals in Indian capital market history. The report investigated claims of stock price manipulation, accounting issues, offshore shell business structures, money laundering, and inflated values of seven listed Adani firms.<br></p><p><b>The key analytical outputs were:</b><br></p><p>I Evaluated the <b>current ratio</b> and <b>debt leverage </b>of Adani's listed firms to independently examine Hindenburg's assertion of 85% downside potential using fundamental <b>valuation frameworks.</b><br></p><p>I Mapped the <b>offshore fund-flow architecture</b>, tracking how cash was reportedly cycled via Mauritius, UAE, and Caribbean <b>shell corporations</b> and back into public businesses to <b>inflate balance sheets</b>.<br></p><p>I Analyzed <b>promoter pledge data</b> from <b>Adani Green</b>, <b>Adani Power</b>, and others to analyze <b>stock stability</b> and <b>credit risk</b> indications.</p><p><span style="background-color: initial;">&nbsp;I Analysed </span><b style="background-color: initial;">free float manipulation</b><span style="background-color: initial;"> techniques under SEBI's 75% promoter cap, demonstrating how a sub-10% effective float might be manufactured through nominee holdings.</span></p><p>I Assessed <b>audit quality risk</b>, indicating insufficient auditor capacity proportional to the group's 578 subsidiaries and 6,000+ related-party transactions.</p><p>This study improved my ability to read between the lines of <b>financial statements</b>, see red flags in <b>corporate governance</b>, and apply <b>short-selling</b> reasoning to <b>valuation.</b></p><p><b><br></b></p><p><b>Minor Research Project — Social Media Influence on Consumer Behaviour &amp; Health Decisions | Amity University, Pune I Semester IV</b></p><p>&nbsp;I conducted an extensive study examining how young individuals <b>(18–25 years old) </b>use social media to influence their <b>purchase habits, lifestyle choices, and decision-making patterns</b>. The project integrated quantitative r<b>egression modeling</b>,<b> qualitative focus groups </b>with 34 participants, secondary data analysis, and a <b>meta-analytic review</b> of over 13 peer-reviewed studies, demonstrating practical experience with primary and secondary research methodologies relevant to <b>feasibility analysis</b> and <b>market intelligence</b>.<br></p><p><b>Important results&nbsp;</b><br><br>Using the <b>Social Ecological Model</b>, <b>Social Comparison Theory</b>, and <b>Social Identity Theory,</b> a structured research framework was created, fostering analytical thinking that is directly applicable to <b>market segmentation</b>, <b>consumer profiling</b>, and <b>demand forecasting</b>&nbsp;.</p><p><b>Regression modeling</b>, <b>thematic analysis</b>, and <b>data synthesis </b>were used to find<b> behavioral drivers</b> and <b>moderators</b> across <b>demographic variables (age, gender, socioeconomic status, and digital literacy).</b>&nbsp;<br></p><p><b>&nbsp;Research Methodology&nbsp;</b>: Secondary data synthesis, meta-analysis, qualitative focus groups, phenomenological analysis, descriptive statistics, inferential analysis, and regression modeling .</p><p><b><br></b></p><p><b>Summer Internship Project — Commercial Real Estate Market Research | Mittal Brothers, Pune I Semester V</b></p><p>I used primary and secondary research techniques to conduct a comprehensive <b>market research</b> study on <b>commercial real estate trends</b> in <b>Pune</b>. In order to&nbsp;<b>investor preferences</b>, <b>yield expectations</b>, and <b>site demand patterns</b>, I designed and carried out a<b> mixed-methods research</b> framework, conducted 13 semi-structured interviews with CRE investors, brokers, and developers, and surveyed 81 respondents.<br></p><p><b>Important contributions and results:</b><br></p><p>I found micro-market growth drivers in <b>Baner, Kharadi, Hinjewadi, and Wakad</b> that are directly related to the growth of the<b> IT industry,</b> <b>infrastructural improvements</b>, and <b>changing worker demographic.</b><br></p><p><b>Investor segmentation</b> by <b>income</b>,<b> risk tolerance</b>, and <b>asset class </b>preference was analyzed;<b> behavioural </b>distinctions between novice and experienced investors were traced, laying the groundwork for a focused<b> client acquisition</b> approach.</p><p>Using fundamental financial analysis concepts employed in CRE investment choices, we assessed ROI benchmarks (5–10% yield range), <b>cap rate dynamics</b>, and <b>capital appreciation</b> possibilities across asset types (office, co-working, retail, logistics).<br></p><p>I evaluated the effects of the&nbsp; <b>GST</b>, and<b> RERA </b>policy changes on market transparency and<b> investor confidence</b>, exhibiting a practical grasp of the regulatory frameworks essential to real estate and infrastructure finance.<br></p><p>For a live commercial project, One Place FC Road, Pune (Mittal Brothers), I provided strategic advice on pre-leased assets, <b>tenant risk</b> <b>minimization</b>, coordinating market data with business growth goals.<br></p><p>I demonstrated expertise with <b>real estate analytics tools</b> and research-based decision-making by using the CRE Matrix data platform in conjunction with scholarly literature for secondary market analysis.</p><p><b><br></b></p><p><b>Dissertation: Analyzing the Impact of REITs on Real Estate Investment in India I BBA Semester VI</b><br></p><p><span style="background-color: initial;">I Conducted an independent research study to investigate how <b>Real Estate Investment Trusts (REITs)</b> are transforming real estate investment in India, including <b>regulatory evolution,&nbsp;</b></span><b>investor behavior</b><span style="background-color: initial;">, <b>capital market dynamics</b>, and <b>policy gaps.</b></span></p><p><b>Key highlights:</b></p><p>Developed and implemented a <b>mixed-method</b> research framework that included a structured survey of 100 respondents (retail investors, real estate developers, and financial analysts), in-depth qualitative interviews, and secondary analysis of <b>SEBI reports</b>, <b>stock market data</b>, and global <b>REIT benchmarks</b>.<br></p><p>To identify structural gaps in the Indian market, I conducted a comparative financial analysis of Indian REITs (Embassy Office Parks, Mindspace, and Brookfield) against mature REIT markets in the United States, Singapore, and Australia, evaluating <b>dividend yields</b>,<b> NAV trends</b>, o<b>ccupancy rates</b>, <b>liquidity depth,</b> and <b>tax structures.</b></p><p>Mapped<b> investor segmentation</b> based on<b> capital allocation behavior</b>, revealing how <b>salaried professionals</b>, <b>HNWIs</b>, and<b> institutional investors</b> differ in <b>risk appetite,</b> preferred instruments (direct property vs. REITs vs. fractional ownership), and expected returns. Used statistical methods such as descriptive statistics, frequency analysis, and correlation testing.<br></p><p>Produced data-driven policy recommendations for SEBI and the Ministry of Finance, including tax reforms under<b> Section 80C</b>, reduction of minimum investment requirements, extension of REIT asset classes into residential and industrial areas, and RERA integration for transparency.<br></p><p>Commercial real estate market mood was assessed across categories (office space, warehouse, and co-living), with 50% of polled investors expecting substantial growth in commercial real estate, which is directly related to infrastructure asset management and real estate company development strategy.</p><p><b><br></b><br><br></p><p><b></b></p><p><b><br></b></p><p><b><br></b></p><p><b><br></b></p>