Power Query Revenue Forecast Model

@ShivaniGoyalsai

Hi, I can build a **fully automated Excel revenue forecasting workbook** where your team simply drops the latest Monday market report into a folder, clicks **Refresh**, and gets updated projections—without any manual copy-pasting. With 15+ years of experience in Excel, Power Query, VBA, data modelling, and BI, I’ll focus on making the workflow reliable, transparent, and easy for your team to maintain. Delivery approach: Build reusable Power Query routines to import, cleanse, transform, and standardize weekly reports Create a clear forecasting model with dynamic calculations, PivotTables, and dashboard visuals Parameterize file paths so folder changes can be handled easily Keep queries structured, clearly named, and free from hard-coded credentials Test the model using your historical data drops and validate forecast outputs Provide concise setup and refresh instructions The final `.xlsx` will be unlocked and designed so your team can understand and maintain the complete workflow. Thanks Shivani

@caajoys

I can build a refresh-driven Excel revenue forecasting model where your team simply drops the latest market report into a folder, clicks Refresh, and gets an updated forecast and dashboard without manual copy-pasting. Thank you for considering my proposal. I have gone through the requirements in detail. I’ll design the workbook around Power Query with repeatable, clearly named steps for importing, cleansing, transforming, and validating each weekly report. The processed data will feed a transparent forecasting model with appropriate Excel calculations, PivotTables, charts, and dashboard KPIs, keeping the full workflow understandable and maintainable inside Excel. I’ll structure the queries so file paths are configurable rather than hard-coded, with no credentials embedded in the workbook. I’ll test the model against at least two historical report drops, reconcile outputs, and verify that a single refresh updates the source data, calculations, forecast, and visuals correctly. I’ll also provide concise setup notes covering folder changes, refresh steps, and ongoing maintenance. With 10+ years of experience, I am a Chartered Accountant (ICAI) and CPA with strong expertise in Advanced Excel, Power Query, financial modelling, forecasting, dashboards, and management reporting. I’m ready to review the sample market reports and build a reliable, one-click refresh workflow around their structure.

@alluankit01

Hi, I can build your Excel revenue forecasting workbook around Power Query so your team can drop each new weekly market report into a folder, click Refresh, and immediately see updated projections and visuals. The best solution is to first review the structure of your market reports, forecast horizon, revenue drivers, and the two historical datasets you’ll provide for validation. Then I’ll create repeatable Power Query transformations, dynamic calculations, PivotTables/charts, and a concise dashboard with no manual copy-paste. I’m comfortable with Excel, Power Query, Power Pivot/DAX, forecasting models, data cleansing, folder-based imports, dynamic tables, PivotTables, dashboard design, and historical accuracy testing. Deliverables will include: * Unlocked .xlsx workbook * Folder-based Power Query import * Automated cleansing/transformation * Revenue forecasting calculations * Single-click Refresh workflow * PivotTables and charts * Concise dashboard * Historical forecast validation * Clearly named queries * No hard-coded credentials/paths * Setup notes for changing folder location I’ll focus on making the model transparent, easy to maintain, and fully refreshable so your team can update forecasts every Monday without touching the underlying logic. Best regards Ankit

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@ParasTech7

Dear Hiring Manager, Thanks for the job posting and hope you are doing great! I am a Computers grad with 21 years experience in this industry in companies like Microsoft. I have done many projects in this Microsoft tech (Power Query) and am rated all 5-stars here :) If you want, I can do it for you. More once you revert. Regards, Anurag.

@mayankinnovative

You require an Excel-based revenue forecasting system where, simply by dropping a new market report into a folder every Monday and clicking "Refresh," the entire process—Power Query ingestion, data cleansing, forecasting, and dashboard updates—happens automatically, without any manual copy-pasting or hard-coded dependencies. My Approach: I will ingest folder-based reports using Power Query and establish repeatable transformation and validation steps, followed by the creation of a structured forecasting model, PivotTables, and necessary DAX measures. The dashboard will clearly display projections for upcoming months and key trends. I will validate the forecasting logic using two sets of historical data and parameterize the queries so that only a setup parameter needs updating if the file path changes. I will also ensure clear naming conventions, robust error handling, and concise handover notes. 1. In what Excel or CSV format are the weekly market reports received? 2. For how many future months is the forecast required? 3. Are Excel 365 and Power Pivot available? I will deliver an unlocked, maintainable forecasting workbook with single-click refresh functionality, designed to be user-friendly for your team's daily operations.

@gunjan1711

- I can build this Excel-based revenue forecasting workflow using my experience in Python, Excel, Power Query, data analysis, forecasting and business reporting. - I have previously worked on sales forecasting using Python and NeuralProphet, using historical sales data to support demand planning. - I can structure the workbook so weekly market reports are loaded through repeatable Power Query steps, with cleansing and transformation handled automatically. - The model can be designed around a folder-based workflow where a new report is added and the workbook is refreshed without manual copy-pasting. - I can build forecasting calculations, supporting pivot tables, trend charts and a concise dashboard so updated projections are easy to interpret. - I can also document the Power Query steps, parameters and refresh process so the team can maintain the workbook if the folder location changes. - I will focus on keeping queries organized, avoiding hard-coded paths or credentials, and validating the forecast against the historical data provided during review. - My experience with sales analytics, Python forecasting and business reporting aligns well with the objective of creating a practical planning tool. Reference work is available in my profile.

@jayeshm56

Hello, I can build a streamlined and fully automated Excel revenue forecasting workbook using Power Query. I will create repeatable data-import, cleansing, transformation, and forecasting steps so your team can simply drop the latest weekly market report into the designated folder and click Refresh. The workbook will include clearly structured queries, forecasting calculations, a concise dashboard, charts, pivot tables, and useful DAX measures where appropriate. I will ensure there are no hard-coded paths or credentials and provide brief setup instructions for changing the folder location. I can also validate the model using your historical data drops for accuracy and reliability.

@LucaPM

I recently helped a client streamline their revenue forecasting using Power Query in Excel, resulting in a robust model that updated automatically with new data. I will create a streamlined workbook that allows you to drop in weekly reports and see updated projections immediately. Your need for a simple refresh workflow and a clear dashboard aligns perfectly with my skills. I have extensive experience in Excel, Power Query, and DAX, and I have built similar forecasting tools that enhance readability and accuracy. I am building my presence on Freelancer, so I give every client full attention, quick replies, and clear updates. I would love this to become a long-term working relationship. What specific features would you like to see in the dashboard? Regards, Luca.

@gagant52

Your Monday-drop workflow is the part I would nail first: a Power Query pipeline that pulls the weekly market report from a folder, cleans it, and feeds a forecast sheet that refreshes with one click - no copy-paste and no hard-coded paths. Steps: (1) build parameterised From Folder queries with clearly named transformation steps and a FilePath parameter so a folder change is a one-cell edit; (2) shape each report into a tidy date/metric table, then build the forecast and readability measures on top; (3) add the dashboard page (pivot charts plus KPI tiles) and prove the refresh against two historical drops you send me. Deliverable: unlocked .xlsx with the named queries, forecast logic, dashboard and one-page setup notes - 5 days. Question: do your weekly reports always keep the same column layout, or do headers shift between weeks? I will ask for your review on delivery.

@maoohta

I can build the unlocked Excel workbook with a configurable report-folder connection, clearly named Power Query transformations, forecasting calculations and a concise dashboard. I will test refresh and forecast errors against the two historical data drops you provide and include the requested setup notes. Forecast limitations and assumptions will be documented rather than promising a fixed accuracy.

@jaredr19

The Monday-drop-and-refresh workflow is exactly what Power Query is built for, and keeping it inside a single unlocked .xlsx means your team can follow every step without needing anything installed beyond Excel. Here's how I'd build it. First, I'd set up a folder-based Power Query connection that picks up whichever weekly market report file is present, so you drop the new file in and hit refresh, nothing else. The query steps would handle cleansing and reshaping the report data into a consistent structure, with no hard-coded paths and no credentials baked in. Second, I'd build the forecasting layer on top of that clean table: projection calculations for the coming months, driven by the transformed data, with clearly named queries and columns so the logic is readable. Third, a dashboard page with pivot tables, charts, and any DAX measures that add clarity without adding clutter. I've put together a sample one-click Excel dashboard in Power Query that turns raw data into KPI tiles and charts on refresh, and I can share it as an example of the approach. Delivery includes the .xlsx and setup notes covering how to repoint the folder path if your structure changes. I'd validate against the two historical drops you mentioned during review.

@codeswithzain

Hi, I can build a clean, fully automated Excel forecasting workbook where your team simply drops the latest weekly market report into a folder, clicks Refresh, and immediately gets updated revenue projections and dashboard visuals. I’ll structure the workbook so the entire process is transparent, repeatable, and easy to maintain—without manual copy/paste. I can deliver: • Automated Power Query import, cleaning & transformation • Folder-based workflow for new weekly reports • Dynamic revenue forecasting model • PivotTables, charts and KPI dashboard • DAX/measures where they genuinely improve reporting • Single-click refresh for data, forecasts and visuals • Testing against your historical data drops • Clearly named and organised queries • No embedded credentials or fixed file dependencies • Fully unlocked .xlsx workbook • Simple setup notes for changing folder/file paths I’ll also validate the model using the historical reports you provide and make sure the forecasting logic is easy for your team to understand and maintain. I’m ready to review a sample market report and start building the model immediately. Best regards, Zain

@quynhanhnad

I can build a refreshable Power Query workflow around your weekly reports and keep the model fully visible inside Excel. I suggest starting with the two historical files: map the columns, build the repeatable import and cleanup steps, then validate a simple forecast baseline before adding the dashboard. The first acceptance point is one-click refresh with consistent transformed data and updated projections. I will keep the queries clearly named and include short setup notes for future file-path changes.

@rubeenography

Hi, Your requirement is a very strong match for my experience in Excel automation, Power Query, financial/operational reporting and management dashboards. I have 15+ years of enterprise operations experience and have built automated reporting, reconciliation, validation and dashboard solutions where the objective was to replace repetitive manual work with a reliable refresh-driven process. For your workflow, I would structure Power Query as the data ingestion and transformation layer so that the weekly reports can be dropped into a defined folder and processed consistently. The transformed data can then feed the revenue calculations, forecasting model, PivotTables and dashboard. I would also make the folder/source path configurable rather than hard-coded, clearly document the query steps, and test the model against your historical report files to validate the refresh and forecast outputs. My focus would be on making the final workbook practical for your team: drop in the latest report → Refresh → updated revenue forecast and dashboard, without manual copy-pasting. I can start immediately and would be happy to review the sample reports and existing forecasting logic before finalising the model structure. Regards, Rubeen Khan