Freelance Data Scrapers in San DimasFreelance Data Scrapers in San Dimas
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Matin Pichvai's avatar
Matin Pichvai
Los Angeles, USA
Finance pro building models, dashboards & investor decks.
New to Contra
Finance pro building models, dashboards & investor decks.
Cover image for A working demonstration of how
A working demonstration of how AI integration replaces hours of finance work with minutes. Three real workflows shown end-to-end with before/after data: Transaction categorization. Messy bank/card transactions (wires, AMEX charges, vendor descriptions) auto-categorized, vendor-cleaned, and pivoted into a category summary. Manual: 2–3 hours for 200 transactions. AI-assisted: 5 minutes. Investor commentary drafting. Raw quarterly performance data (NAV, returns, watchlist movement, pipeline) turned into polished investor letter copy. Manual: 1–2 hours of writing per quarter. AI-assisted: 10 minutes of editing. Portfolio company summarization. Unstructured sponsor letters and press releases parsed into a structured tracking table with revenue, margins, leverage, and status flags. Manual: 30–45 min per company. AI-assisted: instant. The integrations are built INTO existing Excel workflows — no new tools for the team to learn. Two common patterns: copy/paste with Claude, or direct API integration via VBA / Office Scripts. The "after" sheets look like normal Excel because they are; AI just did the manual work. Illustrative samples built for portfolio purposes. Happy to scope an automation for your specific finance workflow.
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Cover image for Series A pitch deck for
Series A pitch deck for a healthcare growth equity raise. A 12-slide investor presentation built for a multi-state dermatology platform raising Series A capital. The deck covers the investment thesis, market opportunity, unit economics, growth strategy, financial projections, and use of funds — structured the way institutional investors actually read pitches. Built from my background in audit at PwC and as a controller at a major alternative asset manager, where I've spent years on both sides of investor materials: building them for portfolio companies and reviewing them as a capital allocator. That dual perspective shapes how I structure narrative, defend numbers, and anticipate diligence questions. Mock content built for portfolio purposes. Happy to discuss approach, layout choices, or adapt the structure for your raise.
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Cover image for Quarterly investor report for a
Quarterly investor report for a private credit fund. A full LP-facing reporting package covering fund-level performance (NAV, returns, IRR), portfolio composition, credit metrics (LTV, DSCR, weighted yield), and manager commentary. Built in Excel with linked source data, formula-driven KPIs, and an output layer formatted to read like a polished investor letter. The work most LPs see from their GPs is exactly this kind of report. My background — controller at a major alternative asset manager, audit at PwC and CohnReznick — is on the production side: building the systems that make these numbers reliable, then presenting them in a format institutional investors trust. That means the report ties cleanly, the underlying logic is auditable, and the commentary aligns with the data instead of contradicting it. Illustrative sample built for portfolio purposes. Happy to adapt the structure for a specific fund, asset class, or LP reporting cadence.
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Cover image for A fully integrated three-statement model
A fully integrated three-statement model — income statement, balance sheet, and cash flow — built for a growth-stage company across a four-year forecast horizon. Working capital, debt, and tax schedules sit on dedicated tabs and flow into the consolidated outputs. Built so the balance sheet balances every period and cash reconciles cleanly between the indirect cash flow and the cash line on the balance sheet. Sensitivity toggles on revenue growth, gross margin, and capex assumptions let users stress-test the forecast without breaking the model. Audit-grade discipline throughout: no hard-coded outputs, clear input/calculation/output separation, formula transparency on every line. My background is in audit at PwC and as a controller at a major alternative asset manager — so I've spent years reviewing models for what breaks under pressure, then building them to a standard that holds up to that review. Illustrative sample built for portfolio purposes. Happy to adapt for your specific business — SaaS, services, consumer, marketplace, or other.
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Data Scraper(1)
Balaj Khalid's avatar
Balaj Khalid
Los Angeles, USA
Expert Data Analyst and Machine Learning Engineer
Expert Data Analyst and Machine Learning Engineer
Cover image for Google Shopping Price Scraper
Google Shopping Price Scraper
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Cover image for Fake News Detection with DistillBERT
Fake News Detection with DistillBERT
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Cover image for Predicting Earthquake Magnitude: Insights from 28 Years of Seism
Predicting Earthquake Magnitude: Insights from 28 Years of Seism
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Data Scraper(1)
Frank Uribe's avatar
Frank Uribe
San Dimas, USA
Los Angeles Local Full Stack Developer Near You
Los Angeles Local Full Stack Developer Near You
Cover image for Market Recon – E-Commerce Intelligence Platform What it is: ...
Market Recon – E-Commerce Intelligence Platform What it is: A data platform that tracks real-time product pricing and trends across major e-commerce marketplaces. What I built: Automated product scraping & tracking Pricing, brand, and category analysis dashboard Alerts and historical data storage Tech stack: Next.js, React, Node.js, Firebase, Redis
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Cover image for Did a slight redesign for my Shopify Client, what do y'all t...
Did a slight redesign for my Shopify Client, what do y'all think?
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Cover image for VMA – Real Estate Property Management App What it is: A web ...
VMA – Real Estate Property Management App What it is: A web application designed to help property managers track properties, tenants, and day-to-day management operations in one place. What I built: Property and unit management system Tenant records and status tracking Centralized dashboard for property data Secure user access and role management
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Cover image for Athlete Atlas – Athlete Management Platform What it is: A we...
Athlete Atlas – Athlete Management Platform What it is: A web application that helps athletes and coaches track performance, training progress, and athlete profiles in one centralized system. What I built: Athlete profile and data management Training and performance tracking features Coach-facing dashboard for monitoring athletes Secure authentication and role-based access
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Data Scraper(1)
Rubayet Bin Mujahid's avatar
Rubayet Bin Mujahid
Los Angeles, USA
Web Developer creating responsive websites
New to Contra
Web Developer creating responsive websites
Cover image for Competitor Price Tracker
Competitor Price Tracker
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Cover image for Systems Modeling Chatbot
Systems Modeling Chatbot
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Cover image for Roommate Expense Splitter
Roommate Expense Splitter
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Cover image for Folio — Lead-generating portfolios for freelancers
Folio — Lead-generating portfolios for freelancers
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Data Scraper(1)