Financial Modeler for Startups | Dashboards & Forecasts
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- Followers
Financial Modeler for Startups | Dashboards & Forecasts
Rental Property Investment Calculator: Does the Deal Pay?
A rental can look great on paper and still lose money every month. The rent sounds high, but then come the mortgage, taxes, insurance, repairs, empty months and the management fee.
This calculator shows what’s really left.
Enter the price, down payment, interest rate and rent, and it works out the cap rate, your cash-on-cash return, the first year’s cash flow, and whether the rent covers the mortgage. A chart then shows how much equity the property builds over the years you plan to hold it, and a table gives the numbers year by year.
It’s a simplified demo with sample data. It leaves out selling costs, taxes and refinancing. For a real deal I build the model around your own property, financing and plans, and compare several properties side by side.
If you’d like a calculator for a deal you’re considering, send me a message.
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Budget vs Actual Variance Dashboard: Spot Overspend Fast
Every month ends the same way. You look at the bank balance, feel that something is off, and spend the next hour digging through a spreadsheet to find out what.
This dashboard does the digging for you.
Enter your budget and what you actually spent, and it shows in seconds where you’re over, where you’re under, and what that did to your profit. Overspending lines get flagged automatically, and you choose how strict the alarm is. A plain-English summary at the bottom tells you the story in one sentence, for example: revenue came in short, marketing ran 19% over, and profit fell $4,500 below plan.
It’s a simplified demo with sample data. For a real business I build the version around your own budget lines, your categories and your reporting rhythm, so month-end takes minutes instead of hours.
If you’d like a dashboard like this for your numbers, send me a message.
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SaaS Unit Economics & Churn Dashboard for Founders
Most SaaS founders track revenue but can’t say whether each customer is worth what it cost to win them. This dashboard answers that in seconds.
It models a subscription business over 12 months. Change the price, the monthly churn, the acquisition cost or the gross margin, and the dashboard recalculates customer lifetime, lifetime value, the LTV to CAC ratio and the months it takes to earn back the acquisition cost.
A stacked chart shows how the customer base changes: the customers you started with fade out through churn while new ones build up, and a table underneath shows the revenue, acquisition spend and net contribution for each month.
It’s a simplified demo with sample data. For a real company I build the full model around your own pricing, churn and acquisition numbers.
This is one of several financial dashboards I build for early-stage startups. If you’d like one for your numbers, send me a message.
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13-Week Cash Flow Forecast: Will Your Cash Last?
Plenty of profitable businesses still run out of cash. Customers pay late, a big stock order lands in the wrong week, and suddenly the bank balance is the problem, not the profit.
This forecast shows it coming, week by week, for the next 13 weeks.
Set your opening cash, sales, growth, costs and ad spend, and choose how quickly customers pay you. The dashboard draws your cash balance week by week, marks the lowest point, and tells you in one plain-English sentence whether you’re safe or heading below zero.
It’s a simplified demo with sample data. For a real business I build the forecast around your own sales, payment terms and costs, in the format your bank or investor expects.
If you’d like a cash flow forecast for your numbers, send me a message.
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E-commerce Marketing for High Sales Growth
E-commerce Marketing for High Sales Growth
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HMI Interface designer. UX/UI for embedded screens & devices
- $10k+
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- Rating
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HMI Interface designer. UX/UI for embedded screens & devices
Brand Strategist and Product Design, Full-stack & AI Dev.
- $5k+
- Earned
- 1x
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Brand Strategist and Product Design, Full-stack & AI Dev.
Hello everyone ,
I'd love to share my recently developed personal eCommerce brand, StyloDyna (https://stylodyna.com/) — Home Interior Styling & Lifestyle.
Website: https://stylodyna.com/
(https://stylodyna.com/)I'm an experienced Business & Brand Strategist, Full-Stack Developer, and UI/UX Designer with 8+ years of expertise in modern web technologies, responsive frontend development, scalable design systems, cloud architecture, and AI-powered business solutions.
StyloDyna is more than a custom-designed Shopify storefront. It's a complete eCommerce ecosystem supported by four AI-powered systems for product intelligence, creative operations, data management, and workflow automation.
I personally led the journey from business strategy and brand positioning to UI/UX design, design system architecture, full-stack development, and AI-powered backend operations.
I'd welcome the opportunity to discuss your project and how my experience can contribute to its success.
Best regards,
Muhammad Tahir A.
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I have launched my own personal brand StyloDyna (https://stylodyna.com/) with proper Business & Brand Strategy, Design System, best UI/UX expertise, Information Flow which leads CTA.
https://stylodyna.com/ (https://stylodyna.com/c)
I had dream of best Shopify frontend fully Customize and Saleable High Performance.
Not only this I have also Build AI-Powered Product Intelligence System. Currently launched in Pakistan.
soon, my next plan is to launch in UK with different niche Idea in couple of months.
Must visit my brand and if you want me to collaborate with you to build plan and develop with you custom frontend idea let me know.
https://stylodyna.com/
Regards,
Muhammad Tahir A
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UI UX Designer design responsive and modern designs
Making Sense of Data to Drive Decisions
Context-Aware Fintech User Feedback Classification & Urgency Detection
Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation.
What was built:
Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo:
Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud
Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
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Expert in Email Marketing & Design
Expert in Email Marketing & Design
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Driving Growth with Data, Storytelling & Strategy | 10+ Yrs
Driving Growth with Data, Storytelling & Strategy | 10+ Yrs
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