I am Aabhash Adhikari, an FP&A and finance-analytics professional building decision support systems for distribution, working capital, and dealer-credit businesses — combining variance analysis, driver-based forecasting, and AI-enabled reporting to shorten the distance between operational data and strategic action.
I work where finance planning, commercial strategy, and operational data meet. The goal is the same on every engagement: tighter working capital, faster variance signals, defensible forecasts, and decisions that move the bottom line.
In Nepal, the richest operational data sits inside finance — receivables aging, dealer credit behavior, payroll variance, TDS exposure, working-capital movement. I convert that record-keeping layer into a strategic asset: forecasting models that defend revenue plans, variance dashboards that flag commercial risk weeks ahead of month-end, and unit-economics views that frame every leadership conversation in margin terms.
Python, SQL, R, Excel, Power BI, Tableau, and Google Data Studio for cleaning, validating, modeling, and visualizing business data.
Automating reporting workflows, reconciling multi-district ledgers with Power Query, and building TypeScript/VBA engines that reduce manual tasks by 85%.
Using AI as a force multiplier for file reading, pattern discovery, exception review, reporting commentary, scenario thinking, and decision support.
Translating transaction-level data and complex sensitivity scenarios into clean board packs, enabling executive leadership to make immediate pricing and capital allocation decisions.
My goal is to help account and finance become a proactive engine for companies: detecting risk earlier, explaining performance faster, and shaping better decisions.
I developed my skills in account and finance together with data analysis because finance contains the deepest truth of a business: money flow, cost behavior, tax movement, incentive logic, supplier pressure, receivables, stock, and profitability.
When that information is cleaned, structured, and visualized properly, finance stops being a department that only closes books. It becomes a function that helps management see what is happening, why it is happening, and what should happen next.
The recent adoption of AI in data, account, and finance has made this transformation more achievable. AI makes analysis faster, reporting sharper, and repetitive review easier, while human finance judgment keeps the work accurate and meaningful.
I see AI, analytics, and accounting as one connected toolkit for building proactive finance teams that can support growth, control leakage, and improve decision speed.
Each role strengthened a different layer of my profile: accounting control, operational tracking, dashboard building, automation, stakeholder reporting, and team coordination.
Prepare management summaries, operational reports, and analytical dashboards for leadership. Consolidate dynamic business variables across corporate segments to keep reporting consistent, decision-ready, and useful for proactive finance conversations.
Handled payroll, tax records, TDS returns, dealer incentive calculations, and month-end automation. Used analytics thinking and structured validation to process incentives for 112 nationwide dealers within half a day and help reduce marketing cost leakage by 10%.
Supervised logistics operations, built shipment tracking dashboards, and developed an internal e-commerce management application that improved purchasing, inventory visibility, and error control.
Managed supplier accounts, purchase ledgers, cash flow tracking, product margin updates, and incentive tracking structures using Excel Power Query.
Maintained daily cash book records, prepared revenue reports, calculated tax liabilities, and strengthened core accounting discipline through routine financial operations.
My work is strongest when it improves speed, control, accuracy, and decision confidence.
A practical blend of business management, data analytics, leadership, and applied finance technology.
Phoenix College of Management | 2022-2024
Shanker Dev Campus
IIMS India | Completed as part of a focused commitment to combine finance, accounting, analytics, and modern business technology.
Completed applied work in data mining, dataset verification, analytical thinking, and corporate data visualization.
Former President of Rotaract Club of Pashupati Kathmandu, contributor to 24+ community programs, host of a virtual district assembly for 1,000+ attendees, and organizer of youth skill initiatives.
I bring accounting discipline, data analytics, AI adoption, automation thinking, and field-tested execution. If your organization needs stronger reporting, better dashboards, and finance that supports decisions earlier, I can help.
Finance should not only explain yesterday. It should help accelerate tomorrow.