Padmashree · Manufacturing and Operations Finance
I build the cost models, and the tools that produce them.
Chartered Accountant and MS Finance, working a US EV production ramp. I find the real problem in messy data and explain the answer in plain language.

The through-line
Finance that builds its own tools.
Most FP&A candidates report the numbers. I report the numbers and then build the pipeline, the reconciliation, and the metric that produced them.
During a production ramp, that is the difference between a number people argue about and a number they can act on.
NTT DATA automation
NTT DATA reconciliation model
Harbinger Dept 120 FY26
Selected work
Playbooks, not slides.
Each one follows the same shape: the problem, what she found, what she built, how it works, and the numbers. The interactive pieces run on her real data.
Flagship analysis
Hours per unit: the denominator problem
Hours per unit swung from about 42 to 545 across the year. Was the line falling apart?
What she found: The swing was the denominator, not the crew. Every spike in hours per unit lined up with a trough in units built.
Drag the minimum weekly volume up. Weeks below the line drop out and the range recomputes. At 13 units it collapses from about 13x to about 2x.
Read the full playbookNo minimum. Range about 42 to 545 hours per unit, roughly 13x, 30 of 30 weeks.
Raw, hours per unit runs from about 42 to 545 across the built weeks, a spread of roughly 13x. The spikes look alarming.
Hours per unit
Units built
Shown: total across all lines. The model also produces battery pack, EDU, general assembly, full vehicle, and HPC views, weekly, monthly, or quarterly.
View the weekly data
| Week ending | Hours per unit | Units built |
|---|---|---|
| Jan 18 | 49.7 | 29 |
| Jan 25 | 50.6 | 29 |
| Feb 1 | 62.2 | 21 |
| Feb 8 | 96.0 | 14 |
| Feb 15 | 42.4 | 34 |
| Feb 22 | 46.3 | 30 |
| Mar 1 | 89.2 | 13 |
| Mar 8 | 75.8 | 15 |
| Mar 15 | 50.7 | 23 |
| Mar 22 | 60.5 | 20 |
| Mar 29 | 74.0 | 15 |
| Apr 5 | 83.8 | 13 |
| Apr 12 | 212.2 | 5 |
| Apr 19 | 214.4 | 5 |
| Apr 26 | 184.8 | 5 |
| May 3 | 186.0 | 5 |
| May 10 | 100.6 | 9 |
| May 17 | 91.3 | 10 |
| May 24 | 79.1 | 10 |
| May 31 | 156.7 | 3 |
| Jun 7 | 122.4 | 7 |
| Jun 14 | 227.8 | 4 |
| Jun 21 | n/a | 0 |
| Jun 28 | 171.9 | 5 |
| Jul 5 | 167.4 | 5 |
| Jul 12 | 149.1 | 5 |
| Jul 19 | 195.7 | 5 |
| Jul 26 | 195.2 | 6 |
| Aug 2 | 545.2 | 2 |
| Aug 9 | 530.8 | 2 |
| Aug 16 | 80.4 | 18 |
Hours per unit: the data-quality fix
Overlapping payroll exports left thousands of duplicated hours. The metric could not be trusted.
OpEx and CapEx forecast, line by line
Build an $11.1M facilities plan for Department 120 that a director can actually steer.
Month-end close automation
The month-end GL report was pulled by hand and broke on merged cells every close.
Markowitz efficient frontier
Allocate a $100M equity portfolio across five stocks at the right level of risk.
Equity valuation sensitivity: Dollar General
What is Dollar General worth, and how sensitive is that to a few assumptions?
An equity-research skill that runs itself
First-draft equity research is repeatable work. Could an agent produce a defensible one, on free data, for a couple of dollars?
More work
Financial close and reporting automation
Self-initiated Excel and Power BI automation of the checks, adopted as the team standard.
30% fewer discrepancies
Multi-year cost allocation forecasting model
Historical, budget, and forecast views in one model, used in annual planning.
Multi-year driver-based model
Power BI expense forecasting dashboard
A Power BI expense forecasting dashboard built for the capstone.
Capstone Power BI dashboard
Experience
Manufacturing finance, audit, and the ramp in between.
Expand a role for scope, the systems used, and the wins. Wins that became a playbook link straight to it.
Harbinger Motors
Finance Intern, FP&A (Production) · Garden Grove, CA
Jun 2026 to Aug 2026Supported the Production organization at an EV manufacturer through a US manufacturing ramp, building the cost models and decision tools operations leaders used for resource planning while the processes were still being invented.
NetSuiteNetSuite Analytics WarehouseGoogle SheetsExcel- Built cost models from scratch for direct and indirect labor, material, inventory, and freight, used by operations as decision tools as the line scaled. The hours-per-unit metric is one of them.
- Investigated cost variances to root cause with Engineering, Operations, and Accounting, fixing data and GL coding at the source so the same exceptions stopped recurring.
- Standardized reporting templates and automated manual handoffs across NetSuite, NetSuite Analytics Warehouse, and Google Sheets, so decisions ran on current numbers instead of stale ones.
- Delivered monthly reporting and budget vs actual variance analysis with driver commentary that told operations leaders where cost was moving and why.
- Reconciled material demand against inventory supply for monthly production planning, surfacing shortages and excess before they became line stoppages or carrying cost.
- Quantified quality and scrap costs and flagged the biggest cost focus areas so improvement effort went where the money was.
NTT DATA
Senior Financial Planning and Analysis Specialist · Multinational
Sep 2023 to Aug 2025Full-cycle FP&A for four business functions: KPIs across revenue, cost of sales, OpEx, and CapEx, rolling forecasts, annual budgets, headcount planning, and the automation that made them faster and cleaner.
ExcelPower BIPower Query- Self-initiated Excel and Power BI automation of close validation and reconciliation, adopted as the team standard: 30% fewer discrepancies and 25% faster close and reporting.
- Built a driver-based multi-year cost allocation forecasting model from a blank page, presented across historical, budget, and forecast views and used in annual planning.
- Owned the monthly rolling forecast for OpEx, CapEx, and headcount, and the annual budget with cross-functional leaders.
- Presented executive-ready variance analysis and scenario analyses directly to senior business leaders.
Sri Ramulu Naidu & Co.
Articled Assistant, Audit and Accounting · Mangalore, India
Sep 2019 to Sep 2022Three years of audit and accounting during the Chartered Accountancy articleship: complete financial statements for multi-entity clients under US GAAP and Ind AS / IFRS.
TallyExcel- Prepared and analyzed complete financial statements (P&L, Balance Sheet, Cash Flow) for multi-entity clients, reconciling accounts and analyzing cost structures and margins.
- Reviewed revenue recognition and cost accounting, recommended adjustments, and presented findings to client CFOs and audit committees.
- Managed concurrent engagements with hard statutory deadlines independently, delivering accurate work under pressure.
Skills and stack
Grouped, and provable.
Select a skill to see the playbooks and roles that used it. No five-dot meters; where the work happened is the proof.
Manufacturing and Operations Finance
Financial Planning and Analysis
Financial Statements and Accounting
Tools and AI
Select a skill to trace it to the work it produced.
Education and credentials
Chartered Accountant, and an MS in Finance to match the models.
- Chartered Accountant (ICAI)
- Institute of Chartered Accountants of India
- Jul 2023 · CPA equivalent
- MS in Finance (STEM)
- Saint Mary's College of California
- Aug 2026 · Expected
- B.Com
- Mangalore University
- Feb 2022
Contact
Looking for someone who builds the tools, not just the reports?
Garden Grove, CA · open to relocation, on-site in Sparks / Reno, NV. The fastest way to reach me is LinkedIn or the contact form. No phone or address here, by design.