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kirthaniyangar.com
kirthaniyangar.com
Project Portfolio
Hello! I am Kirthan Iyangar. Welcome to my website.
Scroll down to know more about my work!
Project Portfolio
Prescriptive Analytics
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Blast Freezer Optimization: Maximizing Throughput in Poultry Cold Chain Management
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Prescriptive Analytics and Optimization for Seafood Buying Strategy: Atlantic Seafood Company (ASC)
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Optimization for Advertising Budget Allocation: Sea Wharf Restaurant
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Linear Programming for Room Reservation Optimization: Round Tree Manor Hotel
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Linear Programming Model for Maximizing Profit: Gourmet Treats Co. Production Optimization
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Linear Programming Model for Maximizing Profit: WashWorks Inc. Service Allocation Optimization
Business Analytics & Machine Learning
Financial Analytics & Modeling
Application & Dashboard Development
My Portfolio
Welcome to my portfolio. Here you’ll find a selection of my work. Explore my projects to learn more about what I do.
Business Analytics & Machine Learning
I have worked on various Business Data Analytics projects, applying different analytical techniques to real-world business challenges. My work encompassed developing classification models for customer behavior prediction, implementing clustering algorithms for customer segmentation, and creating recommendation systems. I worked with diverse datasets and methodologies, from similarity calculations using Euclidean distance and Cosine similarity to advanced clustering techniques like K-means and DBSCAN. These projects demonstrated my ability to translate complex data into actionable business insights.
Technologies Used: Python, R, Machine Learning Libraries :
Classification Models
Clustering Algorithms
Recommendation Systems
Predictive Analytics
Technologies Used: Python, R, Machine Learning Libraries :
Classification Models
Clustering Algorithms
Recommendation Systems
Predictive Analytics
AI/ML Development in Finance
During my exploration of Artificial Intelligence applications in finance, I worked on innovative projects Using Large Language Models (LLMs) for financial analysis and prediction. I developed a sophisticated AI system for analyzing SEC 8-K filings that achieved remarkable accuracy in revenue prediction, effectively minimizing human bias in the analysis process. This was complemented by a company performance predictor that incorporated both quantitative metrics and sentiment analysis from MD&A sections. Currently, I'm working on an exciting project developing sentiment analysis tools for financial documents that aims to provide nuanced insights into market dynamics and company performance. These projects demonstrate my ability to bridge the gap between traditional financial analysis and cutting-edge AI technologies.
Key Technologies:
Large Language Models
Natural Language Processing
Machine Learning
Financial Analysis Tools
This ongoing work showcases the practical application of AI in financial analysis, combining traditional financial expertise with modern machine learning techniques.
Key Technologies:
Large Language Models
Natural Language Processing
Machine Learning
Financial Analysis Tools
This ongoing work showcases the practical application of AI in financial analysis, combining traditional financial expertise with modern machine learning techniques.
Research Papers
Throughout my academic research journey, I conducted 4 research papers studies exploring different aspects of finance and technology. My research portfolio includes an in-depth analysis of credit guarantee schemes in the MSME sector, where I examined their effectiveness in facilitating financial access for small businesses.
Second paper: I predictive LLM Model research using Large Language Models (LLMs) to predict revenue growth through SEC 8-K filing analysis, achieving remarkable accuracy.
Additionally,
Third paper : I conducted a comprehensive study on the impact of digital financial services on Indian banking performance, analyzing 17 banks over a 5-year period. This research demonstrated significant correlations between digital banking metrics and financial performance indicators.
Fourth Ppaer: I also contributed to educational technology research by studying virtual classroom adaptation during COVID-19, providing valuable insights into remote learning effectiveness.
Second paper: I predictive LLM Model research using Large Language Models (LLMs) to predict revenue growth through SEC 8-K filing analysis, achieving remarkable accuracy.
Additionally,
Third paper : I conducted a comprehensive study on the impact of digital financial services on Indian banking performance, analyzing 17 banks over a 5-year period. This research demonstrated significant correlations between digital banking metrics and financial performance indicators.
Fourth Ppaer: I also contributed to educational technology research by studying virtual classroom adaptation during COVID-19, providing valuable insights into remote learning effectiveness.
Valuation (DCF, LBO, M&A, IPO, Prerecent)
Throughout my experience as an Investment Banking Analyst and Investment Analyst, I have worked on numerous valuation projects across both buy-side and sell-side transactions. I've completed over 10 comprehensive valuations, including detailed company analyses using various methodologies - from traditional DCF models to complex LBO scenarios. My work included analyzing high-profile cases like Facebook's IPO using comparable companies analysis, Spotify's direct listing through DCF modeling, and the Kroger-Albertsons merger through M&A analysis. I developed expertise in creating detailed financial models for startup fundraising and supported deal execution through comprehensive due diligence processes. Each project required careful consideration of market dynamics, industry trends, and company-specific factors to deliver accurate valuations. My experience spans across different transaction types, from IPO valuations to M&A deals, demonstrating my ability to handle complex financial modeling and valuation scenarios while providing clear, actionable insights for decision-making.
Completed 10+ DCF valuation projects
Developed LBO models with multiple scenarios (Worked on Real Life Case Study Scenario)
Conducted M&A analysis for major transactions Worked on Real Life Case Study Scenario)
Created comprehensive comparable company analyses
Built precedent transaction models for deal valuation
Completed 10+ DCF valuation projects
Developed LBO models with multiple scenarios (Worked on Real Life Case Study Scenario)
Conducted M&A analysis for major transactions Worked on Real Life Case Study Scenario)
Created comprehensive comparable company analyses
Built precedent transaction models for deal valuation
Financial Modelling and Analysis
In my academic journey, I immersed myself in comprehensive Financial Modeling and Analysis projects, focusing on real-world applications in investment management and risk assessment. I developed sophisticated Excel models for analyzing various financial instruments - from stocks and bond valuations to options valuation - incorporating advanced risk metrics and valuation methodologies. My work included building automated tools using VBA for efficient financial calculations, creating portfolio optimization models with stress testing capabilities, and implementing various valuation frameworks including DCF, Black-Scholes, and binomial models. Through these projects, I gained practical experience in risk management, asset valuation, and portfolio optimization while maintaining a strong focus on accuracy and usability. The projects demonstrated my ability to handle complex financial calculations, understand market dynamics, and create practical tools for investment decision-making. My work spanned across multiple areas of finance, from basic asset return calculations to advanced risk metrics like VaR, showcasing my comprehensive understanding of financial modeling and analysis techniques.
Application Development
During my academic journey, I ventured into application development, successfully creating three distinct web applications that solve real-world challenges. I developed an Investment Portfolio Tracker that integrates risk analytics with budget management, allowing users to monitor investments, track performance metrics, and analyze expected returns in real-time. The second project was an Exploratory Data Analysis application that automates the analysis process, enabling users to upload various data formats and receive instant visualizations and insights. Additionally, I built a Student Schedule Management System using Scrum methodology, which streamlines class scheduling and attendance tracking through an intuitive interface. These projects showcased my ability to develop end-to-end solutions using modern development frameworks, emphasizing user experience while maintaining robust functionality. Each application was built with scalability in mind, incorporating features like automated data processing, interactive dashboards, and real-time tracking capabilities. Through these projects, I gained hands-on experience in full-stack development, agile methodologies, and creating user-centered applications that solve practical problems.
Statistical Modelling & Analysis
Throughout my academic journey, I undertook several challenging Statistical Modeling & Analysis projects that tackled real-world business problems. These projects, while part of my curriculum, focused on practical applications that businesses face daily - from predicting customer behavior to analyzing economic trends. I developed and implemented various statistical models ranging from regression analysis to advanced time series forecasting, geographic data visualization, and interactive dashboards for real-time tracking. My work emphasized creating practical solutions through predictive modeling, customer behavior analysis, and data-driven decision-making tools. Each project required applying different analytical approaches while considering real-world constraints and business implications, demonstrating my ability to bridge theoretical statistical knowledge with practical business applications. Through these projects, I gained hands-on experience with statistical analysis, predictive analytics, data visualization, machine learning implementation, and business intelligence tools, enabling me to deliver meaningful insights for decision-making.
Financial Dashboard
took over a consultant project for an organisation, I Developed dashboard development project for CAPUP, a non-profit organization struggling with inefficient financial tracking processes. I created a comprehensive financial dashboard solution that revolutionized their data management approach, consolidating information from over 30-50 spreadsheet columns into an intuitive, real-time visualization platform. The project specifically addressed critical challenges in cash flow management, budget tracking, and financial forecasting.
The solution delivered remarkable results:
Achieved $30,000 in annual cost savings through improved operational efficiency
Reduced financial reporting time by 75% through automated data consolidation
Implemented real-time cash flow tracking across multiple funding sources
Created interactive visualizations for enhanced decision-making capabilities
Developed scalable system accommodating growing datasets and evolving needs
The project showcased my ability to translate complex financial data into actionable insights while delivering tangible business value. Working directly with the CEO and CFO, I ensured the solution met both immediate needs and long-term strategic objectives.
Technologies Used: Power BI, Python, Excel
This consulting project demonstrated my expertise in financial analytics, data visualization, and ability to deliver solutions that drive significant business impact.
The solution delivered remarkable results:
Achieved $30,000 in annual cost savings through improved operational efficiency
Reduced financial reporting time by 75% through automated data consolidation
Implemented real-time cash flow tracking across multiple funding sources
Created interactive visualizations for enhanced decision-making capabilities
Developed scalable system accommodating growing datasets and evolving needs
The project showcased my ability to translate complex financial data into actionable insights while delivering tangible business value. Working directly with the CEO and CFO, I ensured the solution met both immediate needs and long-term strategic objectives.
Technologies Used: Power BI, Python, Excel
This consulting project demonstrated my expertise in financial analytics, data visualization, and ability to deliver solutions that drive significant business impact.
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