Freelance Financial Analysts in India
Freelance Financial Analysts in India
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Pawan Singh
India
Delivering Value through Targeted Content
5.0
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Delivering Value through Targeted Content
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Writing Blogs On Celebrity Net Worth & Case Studies.
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28
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Product Reviews & Blog Writing For A Fintech Blog
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19
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Technical Writing & Guides For A Tech Blog
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47
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Tech Writing & Product Reviews For An Audio Blog
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19
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Abhishek Anand
Jaipur, India
Full-stack developer building MVPs, marketplaces and CRMs.
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Full-stack developer building MVPs, marketplaces and CRMs.
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Title: KYAT Gold — Gold Savings App (iOS & Android) Description: The customer side of a digital gold savings platform, built in Flutter for iOS and Android. The app does three things people usually have to visit a jeweller for. It runs digital gold and silver SIPs at live market rates, with holdings tracked to three decimal places in a personal vault. It lets customers join monthly savings groups — the traditional chit model — and see exactly how full a group is, how many tokens remain, and when their next installment is due. And it handles the payments for both, with a countdown to the due date and one-tap settlement. The screen I'd point to is the scheme calculator. Gold savings groups are genuinely hard to understand — there's a monthly amount, a token count, a total commitment, a guaranteed floor and a variable upside, and most people encounter all of that for the first time at the moment they're deciding whether to trust you with money for eleven months. So it's built as something you drag rather than read: move the token slider and total investment, minimum guaranteed return and maximum return all update together. The maths was never the difficult part. Making the commitment legible before someone signs up was. The vault handles a related problem in the other direction. Gold is priced per gram, but people think in rupees, so buying works either way with a unit switch — enter ₹500 or enter 0.5g and the app resolves it against the live rate. Onboarding is phone number and OTP only. No password, no email, no form. For a first-time gold saver the signup screen is where you lose them. Flutter and Dart on the client, Node.js and MongoDB behind it, PayU for collection, and a live pricing feed driving every rate shown in the app.
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Title: KYAT Gold — Digital Gold Savings & Chit Fund Platform Description: A production fintech platform for a gold trading business, built end to end — customer mobile apps plus the admin console that runs the operation behind them. The product covers three revenue lines that most gold businesses run separately. Customers buy digital gold and silver as a SIP at live MCX rates, with holdings kept in a vault ledger. They join traditional chit groups with monthly installment collection and scheduled draws. And branch staff can transact over the counter on a customer's behalf through an OTC desk, with custom price override for negotiated rates. The admin console is where the real complexity sits. Operators get one view of daily collections, overdue exposure, autopay success rate and payout queue, alongside time-series collection analytics and per-group draw progress. Because these are savings schemes members have to trust, monthly winner selection runs on SHA-256 seed verification with a downloadable audit trail — the draw is provably fair rather than something the operator can quietly influence. The hardest part wasn't any single screen. It was reconciliation: gold prices move continuously, chit installments arrive irregularly, payouts are scheduled monthly, and every one of those has to stay consistent against a vault ledger that regulators and members can both audit. Getting that right shaped most of the backend design. Mobile apps in Flutter for iOS and Android, PayU handling payment collection, and a Node.js backend managing ledgers, vault accounting, autopay retries and scheduled payouts.
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Title: Cognitome — Gamified Cognitive Assessment Platform Description: A web platform that delivers validated psychology experiments as playable browser tests, built for a research and assessment client based in Dubai. It implements eight standard cognitive paradigms — Stroop, Numerical Stroop, Flanker, Corsi Block, Attentional Blink, the Attention Network Test, the Implicit Association Test, and the Wisconsin Card Sorting Task. Each one runs as a guided flow: instructions, a worked demo, a practice round, then the timed run, ending in a results breakdown. Every trial produces a metrics record, and effect scores are computed from those rather than from summary averages, so the output is analysable rather than just a number on a screen. Administrators pick which experiments a participant should take, set an expiry, and the system generates an access-coded link. Participants open the link and begin — no account, no signup — and results are captured and stored on completion. That mattered because research participants abandon anything that asks them to register before they've seen the task. The genuinely hard part was timing. These paradigms measure differences in reaction time that are often only tens of milliseconds wide, and a browser is a hostile environment for that — variable frame rates, input latency, background tab throttling. Getting stimulus presentation and response capture accurate enough for the effect sizes to mean anything drove most of the frontend architecture. Any of these tests is easy to build badly and the result looks identical until you check whether the numbers replicate known findings. React 19 with Vite and Tailwind on the frontend, Node.js and MongoDB behind it for session generation, access control and result storage.
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Title: Enterprise ATS & Hiring Requisition Platform Description: An applicant tracking system built for enterprise recruitment teams who had hiring data scattered across spreadsheets, inboxes and three different tools — with no single view of what was actually happening. The core of it is the admin dashboard: a company-wide pipeline funnel from application through screening, interview, offer and hire, with velocity metrics on each stage so leadership can see where candidates stall rather than just how many are in the system. Alongside it sits recruiter performance comparison, job health monitoring and a hiring calendar. Beyond the dashboard, the platform handles resume parsing and candidate search, job posting and interview scheduling, client and vendor management, and invoicing. I built an asynchronous Gmail and Outlook inbox sync on AWS SQS with a dedicated worker process, so recruiter email threads attach to the right candidate record automatically instead of being copy-pasted in. The piece I'm proudest of is the hiring requisition module. An employee raises a hiring request, it routes up the reporting hierarchy for approval, branches depending on whether the role is budgeted or unbudgeted, and on final sign-off creates the job in the ATS automatically for HR to hire against. It's designed for roughly 600-person org hierarchies, which meant getting the approval routing right mattered more than any individual feature. Stack: React · Node.js · Express · MongoDB · AWS SQS · Gmail & Outlook OAuth Skills to tag: Full-Stack Development, React, Node.js, MongoDB, API Integration, SaaS, Dashboard Design, AWS
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Murugeshwari S.
Chennai, India
Construction & MEP Finances Strategist Businesses.
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Construction & MEP Finances Strategist Businesses.
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Are you actually watching your revenue trend or just hoping it is going up? Construction and MEP contractors look at revenue only at month end or year end. But the trend is where the real story is Are your billings growing month by month? Did revenue suddenly drop after a big project finished? Is your cash inflow stable, or spiky and risky? In my work with contractors, I don’t just show total revenue. I build Revenue Trend Dashboards in Looker Studio that show == Month-by-month revenue movement == Project-wise contribution to total revenue == Breakup of Retainers, Progress Billings, and Final Invoices When you can see your revenue trend clearly: You know when to push sales harder. You can plan cash flow instead of reacting. You spot dependency on 1–2 big clients early. Right now I’m building sample Revenue Trend dashboards from simple Google Sheets data and turning them into visual reports for construction businesses. If you’re a contractor or trade business (HVAC, Electrical, Plumbing, MEP) and want to see your revenue trend instead of just static totals, DM me #ConstructionAccounting (https://www.linkedin.com/search/results/all/?keywords=%23constructionaccounting&origin=HASH_TAG_FROM_FEED) #RevenueTrend (https://www.linkedin.com/search/results/all/?keywords=%23revenuetrend&origin=HASH_TAG_FROM_FEED) #JobCosting (https://www.linkedin.com/search/results/all/?keywords=%23jobcosting&origin=HASH_TAG_FROM_FEED) #MurugeshwariBooks (https://www.linkedin.com/search/results/all/?keywords=%23murugeshwaribooks&origin=HASH_TAG_FROM_FEED)
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AIA billing looks simple on paper. In real life? It’s a math test, a paperwork fight, and a cash flow waiting game. Example: Contract value: $250,000 Work completed this month: $42,500 Retainage: 10% = $4,250 held back Stored materials: $12,000, but only if the backup is perfect One missing attachment, one mismatch in the schedule of values, one late submission = payment pushed 30 days That’s the part people don’t talk about. AIA billing is not just “sending an invoice.” It’s proving every dollar with clean backup, matching your G702 and G703, tracking retainage, and making sure your numbers don’t tell a different story than your job cost report. The real pain? You did the work, but the paperwork slows the money. You’re carrying payroll while waiting on approvals. You’re fixing billing errors that should’ve been caught before submission. You know the job is profitable, but cash flow still feels tight because the money is stuck in the system. Good AIA billing doesn’t just get you paid. It protects your margin, your schedule, and your sanity.
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Most contractors watch revenue. The smart ones watch cost percentage and profit margin on every job. Here is a simple example: Contract amount: $100,000 Total job cost (labor, materials, subs, equipment, site costs): $85,000 Profit: $15,000 That means: Cost percentage = $85,000 ÷ $100,000 = 85% Profit margin = $15,000 ÷ $100,000 = 15% On paper, 15% looks okay. But in construction, small mistakes can easily eat that margin: Extra labor hours not booked to the job Material wastage and rework Subcontractor change orders not billed correctly Site overheads missing in the budget If margin drops from 15% to 5%, profit becomes only $5,000 on a $100,000 job. Same revenue. Very different result. That’s why clean job costing and regular review of cost percentage and profit margin are more important than just looking at total sales.
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We are making money on this project Right? Do you think so? lets have Knowify Dashboard This is the scariest question a construction contractor can ask at the end of a job. Because by then, it’s too late to fix a leak. Look at this practice dashboard snapshot inside Knowify. It tells a brutal but powerful story about an active HVAC modernization project. The Breakdown: Remaining Contract Value (WIP): $89,800.00 Looks good on paper, right? Invoiced so far: $30,200.00 Committed Costs: $63,500.00 The Reality Check: Because we tracked committed costs early, the system immediately flagged a $14,420.00 budget overrun, showing a temporary 100% loss line of -$33,300.00. Why is this a WIN, not a failure? If you only look at your bank account, you might think you are doing fine. But by tracking purchase orders and subcontractor commitments in real time We caught the cost spike WHILE the job is still active. The contractor now has the power to stop, audit the field errors, issue change orders, and protect their remaining gross margins. No bad surprises at the end of the month. #MEPContractors (https://www.linkedin.com/search/results/all/?keywords=%23mepcontractors&origin=HASH_TAG_FROM_FEED)#WorkInProgress (https://www.linkedin.com/search/results/all/?keywords=%23workinprogress&origin=HASH_TAG_FROM_FEED) #Knowify (https://www.linkedin.com/search/results/all/?keywords=%23knowify&origin=HASH_TAG_FROM_FEED)
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Arsal Khan
Mumbai, India
"From Data Chaos to Business Clarity."
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"From Data Chaos to Business Clarity."
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Coffee Shop Sales Analysis
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25
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Financial Report
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33
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Human Resources (HR) Report
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16
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Vinemr Rajput
New Delhi, India
MBA, CFA Level 2 | Market Research Expert
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MBA, CFA Level 2 | Market Research Expert
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Research Review Paper - Climate Finance
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16
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Macroeconomic Analysis - Research Report
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24
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OVERVIEW OF THE EMPLOYEE INCENTIVIZATION MARKET
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2
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CA Yashh Mantri
Indore, India
Financial Modeling and CFO for Startups & SMEs
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Financial Modeling and CFO for Startups & SMEs
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Health SAAS Financial Model
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19
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Real Estate Construction Financial Model
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3
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Edtech Financial Model
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19
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Go Exercise; Business Plan
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10
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MOHAMMED DHILSHAD
Kochi, India
Automate Your Accounting with Zapier & APIs
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Automate Your Accounting with Zapier & APIs
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Comprehensive Financial Model for a Startup
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12
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Automated Accounting System with Zapier
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5
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The SOPs - in the Era of Generative AI
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5
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Prabhas Puppala
Hyderabad, India
Boost Profits with Detailed Finance Analysis 💼
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Boost Profits with Detailed Finance Analysis 💼
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Comprehensive Financial Analysis for Small Business Growth
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3
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Streamlined Accounting System Implementation
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6
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Cost Management Strategy Development
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7
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