Portfolio

Welcome!

Hello and welcome to my portfolio. I'm a business solutions analyst who enjoys connecting the dots and finding value. I believe in continuous improvement, a principle I apply to my professional projects and personal passions like running, strength training, baking, and analyzing corporate financials.

About Me

Who am I?

I’m a problem solver at heart with over seven years of experience in the healthcare technology space. My focus is always on understanding the real business need first, then figuring out how technology can add value—rather than creating unnecessary overhead. Over the years, I’ve led projects that cut manual work, saved millions in costs, and helped teams make smarter, data-driven decisions.

I’ve embraced the principle of “invert,” a mental model I learned from Charlie Munger: instead of only asking how to succeed, I ask what could cause failure and work backward to avoid it. This mindset has been invaluable in building products that are innovative, practical, and resilient.

I enjoy turning complex challenges into simple, effective solutions—whether it’s streamlining workflows, automating processes, or helping a team bring a new product to life. I thrive on working closely with technical teams, business leaders, and end users to ensure every solution is scalable, simple, and impactful.

Outside of work, I’m endlessly curious—exploring everything from blockchain to fitness and nutrition. I thrive on learning, experimenting, and creating value wherever I can.

Let's Work Together

Please feel free to connect with me.

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Salesforce AI Agent POC:

A White Paper on Bridging Gaps in Patient Communication

YEAR: Currently working on the POC

Here is the brief overview of the white paper proposed to the client:

Objective

To evaluate if an AI-driven solution to dynamically generate context specific, patient-friendly benefit explanations ("blurbs"), aiming to reduce therapy delays, decrease operational costs, and improve the patient experience.

The Challenge

Process Inefficiency: The manual workflow was time-intensive, error-prone, and created bottlenecks that directly delayed patient access to therapy.
Patient Confusion: Organizations often used generic blurbs that lacked specificity, leading to patient confusion and increased support inquiries.
Scalability Issues: Manually crafting tailored blurbs for every possible combination of benefits was impractical and unsustainable.

The Solution

I researched state-of-the-art AI techniques, including Chain-of-Thought (CoT) prompting and knowledge graphs. I theorized this combination was a perfect fit. I then investigated our existing enterprise technology and confirmed Salesforce Agent Force's underlying architecture was built on these principles. I am currently working with our team to conduct a POC to identify a feasible approach.

Benefits & Business Impacts

Accelerated Patient Access to Therapy

Impact: Automating blurb generation eliminates manual peer reviews, saving 500 staff hours per month.

Improved Patient and Provider Experience

Impact: Tailored, patient-friendly blurbs replace generic explanations, reducing confusion and support calls by an estimated 20–30%.

Cost Saving & Operational Efficiency

Impact: Automation reduces manual labor costs, translating to ~$180,000 in annual savings.

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Salesforce optimizations

Contributed towards several Salesforce initiatives.

Project: Automated Healthcare Coverage & Eligibility Verification

Objective: To streamline the benefits verification process by implementing an automated service to discover and validate patient insurance coverage.

Led the end-to-end implementation of the service, from requirements gathering to deployment.
Coordinated with third-party vendors to ensure a seamless API integration via MuleSoft.
Achieved a successful launch, with a post-production incident rate of less than 5%.

Project: User Experience & Workflow Optimization

Objective: To improve user productivity within Salesforce by identifying and eliminating inefficiencies in core business processes.

Developed a custom click-tracking tool to analyze user behavior.
Utilized the data to identify bottlenecks and redesign the user interface.
Successfully reduced user clicks by an average of 28% for targeted workflows.

Financial Analysis Engine

A modular Python-based tool named Financial_Analysis_Engine is being developed to automatically extract financial data from Form 10-K reports filed with the SEC.

This tool will provide structured historical financial information across the three primary financial statements:

Income Statement
Balance Sheet
Cash Flow Statement

The long-term objective is to automate the extraction, and analysis process.

Github Link to repo: Link will be pasted here

Requirement document link: Link will be pasted here

Financial Case Study

Nvidia Financial Case Study

Rasika Dharne | Dec 04, 2025

This analysis evaluates NVIDIA’s financial health through a review of its Balance Sheet, Income Statement, and Cash Flow Statement. The main goals are to understand the company’s creditworthiness, operational efficiency, and capital allocation strategy. A secondary goal is personal: to deepen my own understanding of how financial statements work and how investment strategies depend on these core documents.

1. Executive Summary

This analysis evaluates NVIDIA’s financial health through a review of its Balance Sheet, Income Statement, and Cash Flow Statement. The main goals are to understand:

The company’s creditworthiness
Its operational efficiency
Its capital allocation strategy

A secondary goal is personal: to deepen my own understanding of how financial statements work and how investment strategies depend on these core documents.

Disclaimer: This analysis is purely for informational and research purposes. I am not certified to recommend any investment decisions. I am simply passionate about understanding companies through their financials, and this write-up is part of my learning journey.

2. Feedback Request

This is my first full financial analysis, so I would really appreciate feedback on my understanding of the numbers and my writing/explanations. I am very open to learning and improving.

3. Approach

Instead of going line-by-line through each statement, I structured this analysis around key questions about NVIDIA’s business and financial strength. As I answer each question, I use data from the balance sheet, income statement, and cash flow statement, add relevant technical details, and connect the numbers back to business reality. Many questions are inspired by long-term investors such as Warren Buffett, Charlie Munger, and Li Lu.

4. Data Criteria

Data is directly extracted from the SEC database using XBRL tags via API integration.
The analysis uses data from 2014 to 2025.
All numbers are divided by 1,000,000 (represented in millions).

5. Analysis

5.1. Does NVIDIA have enough cash to meet its debt obligations?

Short Term: Since 2014, NVIDIA’s Current Ratio has been > 1, indicating decent liquidity. To stress-test this, I calculated the Quick Ratio (excluding inventory) and reduced marketable securities by up to 25%. Even after these stress tests, NVIDIA’s quick ratio remains above 3, which is excellent and shows strong coverage for short-term debt.

5.2. Is NVIDIA hoarding cash as a one-time event or as a sustained pattern?

Since 2014, the Cash Ratio has consistently been over 20%. From 2014–2020, over 50% of assets were in cash equivalents. Recently, this has decreased to ~30%+, likely reflecting the deployment of cash to strengthen and grow the business rather than just sitting on it.

5.3. Does total debt hurt cash flow? Does operating cash flow comfortably exceed debt?

Since 2014, Net Debt has been negative, meaning cash exceeds debt. While the company has taken on more debt recently (decreasing this value somewhat), it is not alarming because the cash generated still comfortably exceeds the debt.

5.4. Is Accounts Receivable proportional to sales growth?

NVIDIA’s Accounts Receivable (AR) is generally greater than cash equivalents, suggesting significant sales on credit. However, Days Sales Outstanding (DSO) since 2020 has been between 53 and 65 days—quite strong. Receivables Turnover is high, indicating faster collection. NVIDIA fits "Case 3" (AR ↑, Sales ↑, DSO Stable), which is healthy.

5.5. Is inventory sitting on shelves too long?

Inventory on shelves has decreased over the years while sales have grown, which is positive and suggests efficient inventory management.

5.6. Is the company spending money on investments (CapEx)?

CapEx jumped sharply from 2021, likely due to a structural shift in investment or a fiercely competitive market. Average CapEx (2020–2025) is roughly 8× higher than in the earlier period (2015–2019).

5.7. CapEx has increased by ~8×. Has revenue increased by at least 8×?

Yes. Revenue increased by roughly 22.22× (from ~1,988M to ~44,181M average). Revenue growth far outpaces CapEx growth, which is very favorable.

5.8. Is the company buying new businesses at an advantage?

Since 2021, goodwill has increased, indicating active acquisitions. Based on the pattern, it does not appear businesses are being bought below book value (no sharp downward adjustments).

5.9. What is the situation for intangible assets like patents?

Intangible assets have increased from 2021 onward, likely due to filing more patents or acquiring companies/IP. The NVIDIA brand value itself is not fully captured here but is significant.

5.10. If the company went bankrupt today, how much money would I get back?

In a conservative scenario (haircuts on assets), the recovery value is 0. Using total assets as-is, a retail investor would get about $3 per share. Conclusion: Retail investors are unlikely to recover much in bankruptcy.

5.11. Does the company have less short-term debt compared to long-term?

Short-term debt has increased recently, which can be a concern as it exposes the company to short-term credit market risk.

5.12. How many years of profit would it take to pay off long-term debt?

NVIDIA can pay off long-term debt in well under one year of profit. Using Free Cash Flow, it would take about 1.5 years—still a strong position.

5.13. Is the company using debt or its earning power to finance operations?

Primarily earning power. For every dollar of equity, the company carries only about 0.4 to 0.8 units of debt. Anything below 0.8 suggests a durable competitive advantage.

5.14. Is the company making additions to retained earnings?

Yes, consistently (except for two years). Profits have grown and been reinvested. The wealth created ratio for 2025 is 0.99, a very good indicator.

5.15. Treasury stock behavior

Recently, no treasury stock is shown, but past behavior was generally positive (share buybacks).

5.16. Return on shareholder equity (ROE)

Since 2020, ROE has consistently been >20%. In 2025, it was ~0.9 profit per 1.0 equity. Levels are generally strong.

5.17. Does the company have any leverage that could “fake” competitive advantage?

No heavy leverage is used. The high ROE is likely driven by exceptional business performance, not financial engineering.

5.18. Does the company have a consistent gross profit margin?

Yes, consistently over 50%. This suggests durable competitive advantage, though peer comparison is needed to confirm.

5.19. Is the company operating in a highly competitive space (High SG&A/R&D)?

SG&A: Consistently below 30% (Good sign).
R&D: Critical for this industry. Initially 50% of gross profits, but the percentage has decreased over time, suggesting efficiency. Spikes align with product cycles.
Depreciation: Kept low relative to scale (Excellent).
Financial Cost: Very small to no meaningful debt payments relative to operating income.

5.20. Does the company have high interest payments relative to operating income?

No. Interest payments are very low to almost none compared to operating income.

5.21. Is net income increasing?

YOY net income is volatile, but the average growth from 2014 to 2025 is about 60%, which is very strong.

5.22. Does the company have a higher percentage of net earnings to total revenue?

The ratio is volatile but has been very high (~40%) in the last two years. While consistency is a small yellow flag, the level fits the profile of a "very good business" (>20%).

6. Summary Checklist

#	Question	Rating
1	Enough cash to meet short-term obligations?	✅ Great
2	Cash levels show a sustained pattern?	✅ Great
3	Does cash exceed debt?	✅ Great
4	Healthy AR and DSO?	✅ Great
5	Is inventory moving?	✅ Great
6	Is rising CapEx a sign of competitive investment?	✅ Good
7	Has revenue grown more than CapEx?	✅ Great
8	Are acquisitions at attractive prices?	⚠️ Good / Not Clearly Cheap
9	Intangible assets strengthening?	✅ Great
10	Bankruptcy recovery?	⚠️ Okay (Low)
11	Short-term vs long-term debt?	⚠️ Okay (ST Increased)
12	Can debt be paid off quickly?	✅ Great
13	Funding operations via earnings?	✅ Great
14	Retained earnings growing?	✅ Great
15	Shareholder-friendly treasury stock?	✅ Good
16	ROE consistent (>20%)?	✅ Great
17	High ROE driven by business performance?	✅ Great
18	CapEx burn reasonable?	✅ Great
19	Cash from ongoing operations?	✅ Good–Great
20	Earnings and cash flow rising together?	✅ Good

Rasika Dharne