
About Me
I am a passion-driven finance student with a strong quantitative background and a keen interest in the intersection of finance and technology. My journey has equipped me with a solid foundation in financial modeling, valuation, and data analysis using Python. I thrive on dissecting complex financial problems and building models that provide clear, actionable insights. What sets me apart is my ability to bridge the gap between traditional finance principles and modern analytical techniques. This portfolio showcases my key projects, skills, and the continuous learning journey that shapes my professional growth.
My Learning Journey
The foundational interconnected model of the Income Statement, Balance Sheet, and Cash Flow Statement.
Learn how to select and apply valuation multiples based on business models, ensuring consistency and avoiding common pitfalls for accurate valuation.
Explore why traditional DCF fails for banks and how equity-based models like DDM and residual income provide a more accurate valuation.
An analysis using regression to calculate and forecast profit for Waaree Renewables.
A simulation model to forecast Amazon’s stock price by modeling uncertainty and analyzing probable outcomes.
Featured Projects
Skills & Tools
Skills
- Financial Modelling
- Valuation
- Equity Research
- Advanced Microsoft Excel
- Python For Financial Analysis
- Machine Learning For Predictive Analytics
- Statistics For Finance
- Prompt Engineering
Tools I Use
- Python
- Excel
- SQL
- Tableau
Education & Achievements
Mu Sigma
Full-Time Intern
2025 – Present
- Delivered data-driven analytics for a Fortune 500 client, focusing on asset reliability, cost efficiency, and ROIC improvement.
- Developed a Python-based predictive maintenance model using sensor data to forecast equipment failures and support preventive CAPEX planning.
- Analyzed maintenance cycles and asset performance to optimize repair schedules, enabling a 15–20% potential reduction in operating costs.
- Identified high-risk and high-performing assets to guide capital allocation, maintenance prioritization, and lifecycle cost management, improving operational efficiency by 10–15%.
My Resume
Interested in a more detailed look at my experience? Download my full resume.
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