Excel Data Cleaning & ML

@glanegonsalves

Hey there Glane here, I can turn your messy workbook into a clean, model-ready dataset and build a working ML layer right on top of it, all without you ever leaving Excel. I'll start by auditing the raw file to map out duplicates, inconsistent date/text/number formats, missing values, and any tables that need reshaping (unpivoting wide layouts, splitting merged fields, standardizing categories), then build the entire cleaning pipeline in Power Query so every step is saved, documented, and re-runnable with a single refresh on future data drops. Once the data's tidy, I'll set up a lightweight classification or regression model using Excel's native Python integration (or a Power Pivot/DAX approach if that fits your version better), wire it to clearly labeled input/output ranges, and validate it against a holdout slice so you can trust the predictions. You'll get back a fully cleaned .xlsx with the query steps intact, the working model embedded or linked with refresh instructions, and a short walkthrough doc explaining how to repeat or tweak the process yourself, happy to hop on a quick call or just take a look at the current file structure/size to confirm the best modeling route before diving in.

@belarjsoufiane20

Hello, I can help transform your workbook into a clean, model-ready dataset and build a streamlined machine learning workflow around it. I’ll create a reproducible data-cleaning pipeline to remove duplicates, standardize formats, handle missing values, and reshape the data, then integrate a suitable classification or regression model using the best approach for your Excel environment—whether that’s Power Query, Python in Excel, or a VBA-triggered Python script. The final solution will include a fully documented workflow, clear inputs and outputs, and simple refresh instructions so you can reuse it with future datasets.

@albertc1996

You have a messy Excel workbook that needs to become model-ready, plus a lightweight ML model (classification or regression) that runs inside or alongside Excel — not a separate app or platform. 1. **Data cleaning & transformation (Power Query)** - Remove duplicates, standardize formats (dates, text case, units), handle missing values (impute, flag, or drop based on context) - Reshape tables (unpivot/pivot as needed) so every column is a clean, analyzable field - All steps saved as repeatable Power Query transformations — not one-off manual edits — so the process can be rerun on new data with one click 2. **Model build** - I'll evaluate the data first, then pick the best-fit route: - **Power Query + Power Pivot / DAX** — fully native, zero external dependencies, ideal for scoring logic or simpler statistical models - **Python in Excel** — if your tenant supports it, this allows real scikit-learn-style models directly in a cell - **VBA + external Python script** — most flexible option for more complex models, triggered with a button inside Excel - Clear labeled inputs/outputs, and a refresh button or documented steps to re-run on new data 3. **Documentation** - A short walkthrough (PDF or Word) covering: what each Power Query step does, how the model works, how to refresh/retrain it, and how to adapt it for future datasets **Deliverables** - Cleaned, structured `.xlsx` file with saved transformation steps - Working ML model embedded in or linked to the workbook - Walkthrough document for repeatability **Timeline / next step** Once I have the workbook (or a sample), I can confirm scope and turnaround more precisely — cleaning is usually fast, and model complexity drives the rest.

@HanyasSalem

Hi there, With a diverse skillset spanning biostatistical analysis, data cleaning, machine learning, and proficient in R and Python programming language, I am well-suited to transform your messy Excel workbook into a model-ready dataset. My medical background coupled with my strength in data-driven insights will enable me to understand the context and nuances of your data fully. Throughout my endeavors, I have consistently demonstrated my ability to synthesize complex information into clear, compelling content. This means that not only will I adeptly clean and reshape your data - handling duplicates, inconsistencies, missing values - but I'll also document every step efficiently. I'll ensure your dataset is analytically sound with a tailored approach informed by an intimate understanding of Power Query+Power Pivot. Furthermore, I'm cognizant of the demands and needs of ML models in Excel environments -navigating with fluency through Power Query + Powerpivot or utilizing external scripting triggered from VBA. In fact, if you still want to keep everything native on Excel while harnessing Python or similar libraries for the ML model component; I can deftly incorporate that as well.

@divyam12345

Hello Dear, I have over 10 years of experience in Excel, data analysis, machine learning, and automation. I also have an experienced team, and we can clean, transform, and prepare your dataset while building a reliable ML workflow integrated with Excel. We can use Power Query, Power Pivot, Python in Excel, or VBA-based automation based on your requirements. I look forward to working with you. Let’s connect in the chatbox for further discussions. Thank You. Dr. Divya.

@Web1devloper

As an experienced Data Analyst with a strong background in Excel and Python, I'm confident that I can not only meet but exceed your expectations for this project. I have over eight years of experience in data cleaning and transformation and during this time, I've developed streamlined techniques for handling messy data like what you described in your workbook. My proficiency in Power Query and advanced Excel functions will ensure efficient removal of duplicates, fixing inconsistent formats, handling missing values, and reshaping tables necessary for a smooth ML workflow. My expertise extends into Machine Learning (ML) and as such, I'm well-versed in multiple tools including Python, TensorFlow, PyTorch, Jupyter Notebooks and Google Colab. With these skills, I will be able to help you set up a lightweight ML model directly within Excel while maintaining a fully native environment where possible. My approach leverages the new Python in Excel feature or an external script triggered from VBA depending on the most suitable fit. Ultimately, with me on board expect high-quality deliverables for your project from a comprehensive cleaned Excel file with transformation steps documented to an operational ML model complete with clear inputs, outputs, and refresh instructions. Additionally, I'll provide a brief walkthrough document to enable you to easily replicate or adjust the process going forward. Let's make the most out of your data together!

@alluankit01

Hi, I can clean your messy Excel workbook, structure it into a model-ready dataset, and set up a lightweight ML workflow that can be refreshed or reused easily. The best solution is to first review the workbook structure, columns, duplicates, missing values, inconsistent formats, and target output. I’ll then clean the data using Power Query/VBA/Python where suitable, document the transformation steps, and build a simple classification or regression model linked to Excel. I’m comfortable with Excel, Power Query, VBA macros, Python in Excel/external Python scripts, data cleaning, duplicate removal, missing-value handling, reshaping tables, classification, regression, and refreshable reporting workflows. Deliverables include: * Cleaned Excel workbook * Duplicate and format correction * Missing-value handling * Model-ready table structure * Saved transformation steps * Classification/regression model * Clear input/output section * Refresh instructions * Brief walkthrough document * Final quality check I’ll focus on keeping the workflow practical, lightweight, and easy to repeat on future datasets. Best regards Ankit

@caajoys

Thank you for considering my proposal. I have gone through the requirements in detail and can transform your Excel workbook into a clean, model-ready dataset and build a practical machine learning workflow that integrates seamlessly with Excel. As a Chartered Accountant (ICAI) with 7+ years of experience in Excel automation, Power Query, Python, and data analytics, I specialize in building efficient, maintainable solutions. I will clean and standardize your data by removing duplicates, handling missing values, correcting inconsistent formats, and documenting every transformation using Power Query or well-commented VBA where appropriate. Once the data is ready, I’ll implement a suitable classification or regression model using Python in Excel, Power Query, or an external Python script connected to Excel—whichever best fits your workbook and workflow. The solution will include clear inputs, outputs, refresh steps, and thorough documentation so you can easily reuse it on future datasets. Payment & delivery assurance: ✅ No upfront payment ✅ Release payment after completion or milestone ✅ Timely delivery ✅ 100% commitment to project completion Profile: https://www.freelancer.com/u/caajoys?sb=t I’m ready to review your workbook, recommend the most efficient architecture, and deliver a robust, easy-to-maintain Excel and ML solution. Best regards.

@rohank2502

The part that decides whether this works long term is not the model. It is keeping every cleaning step repeatable, which is exactly what Power Query gives us. Plan: dedupe, format normalization, missing-value rules and reshaping saved as Power Query steps, refresh anytime on new data. Then a light classification or regression model, Python in Excel if your build supports it, otherwise a VBA-triggered script. Inputs, outputs and refresh instructions on one sheet. You also get a short walkthrough doc so you can rerun the whole flow yourself on future datasets, as you asked. Proof: last week I turned a 73,000-row customer dataset into a decision-ready analysis for a D2C brand. Cleaned file back in 2 days. What is the target column the model should predict?

@sstock935

Hello, happy to help clean your messy Excel workbook and turn it into a structured dataset ready for analysis or machine learning. The work will include removing duplicates, fixing formats, handling blanks, reshaping tables, and documenting all transformation steps. For the ML part, a simple classification or regression setup can be created using Power Query, Power Pivot, Python in Excel, or VBA-linked scripts. The final file will be easy to refresh, understand, and reuse for future datasets.

@thiagofoz87

Your project requires two things done correctly from the start: reliable data normalization inside Excel and a repeatable ML workflow that remains easy to maintain after delivery. My approach would be to first audit the workbook structure, identify inconsistent schemas, duplicated rows, null patterns, merged cells, and column typing issues, then centralize the transformations using Power Query so the cleaning process becomes reproducible instead of manual. For the ML layer, I would evaluate the dataset size and target variable before choosing the implementation path. For smaller and medium datasets, Python in Excel is usually the cleanest option because it keeps the workflow close to the spreadsheet while allowing use of pandas and scikit-learn for preprocessing, feature handling, training, and prediction. If compatibility is a concern, I can alternatively deliver a VBA-triggered Python script or a Power Pivot-based workflow. The final delivery would include: - Cleaned and structured workbook with reusable transformation steps - ML workflow connected to Excel with documented inputs and outputs - Clear refresh/retraining instructions for future datasets - Short technical walkthrough document explaining the pipeline Before starting, I would only need to review the workbook size, number of sheets, expected prediction target, and whether the model is classification or regression-oriented.

@gunjan1711

- I have hands-on experience preparing machine learning datasets and building predictive models using Excel, Python, Pandas, NumPy, and Scikit-learn. - My expertise includes Excel, Power Query, VBA, Python, data cleaning, feature engineering, regression, classification, and workflow automation. - I can clean and transform your workbook by removing duplicates, handling missing values, standardizing formats, and creating a structured, model-ready dataset with documented transformation steps. - I have experience building lightweight regression and classification models using Python, with seamless integration into Excel through Python in Excel, Power Query, or VBA-based workflows. - In a recent project, I developed regression and classification models for business datasets and created automated analytical workflows with clear documentation for repeatability. - The solution will include a fully documented Excel workbook, an operational ML model, reproducible transformation steps, and simple refresh instructions for future datasets. - Deliverables will include the cleaned Excel file, Power Query/VBA documentation, Python scripts (if applicable), ML model, and a concise walkthrough guide. - I am available to start immediately and can provide the cleaned workbook and initial model within the first milestone. Reference work is available in my profile.

@isabellasteyn02

I DON'T COMPETE ON PRICE. I COMPETE ON RESULTS. Recently, I completed a project involving data cleaning and machine learning integration in Excel for a client in the retail sector. I transformed their messy dataset, removed duplicates, and implemented a regression model using Power Query and Python, resulting in a 30% increase in forecasting accuracy. With over five years of experience in data analysis and machine learning, I possess the skills needed to tackle your project effectively. My proficiency in Excel's advanced features, including Power Query, Power Pivot, and VBA scripting, ensures that I can deliver a tailored solution. I understand your goal is to clean your dataset and implement a lightweight ML model. My approach will focus on meticulous data cleaning, followed by setting up a model that is both functional and easy to use, ensuring you have clear guidance for future datasets. I prioritize execution, transparent communication, and long-term success in every project. I am confident that my expertise will help you achieve exceptional results. The difference between an average result and an exceptional one is usually decided before the work even begins. Regards, Isabella

@satishk2233

Hi! I can help clean and transform your Excel data into a model-ready dataset using Power Query and Excel best practices. I can also build a lightweight ML workflow with Python in Excel or an external Python script linked to Excel, complete with clear documentation and refresh steps. Please share your workbook and your prediction goal, and I'll recommend the most efficient approach. With regards Satish Kumar

@JamieL01

I recently helped a business launch a project that looked great, worked smoothly, and exceeded their expectations. They came in with an idea, and we turned it into something they were proud to use. I can help you achieve the same result with a solution that is reliable, easy to use, and built to grow with your business. I noticed you're looking for data cleaning, transformation, and a machine learning model directly in Excel. Those are exactly the kinds of projects I enjoy working on because attention to detail makes all the difference. I specialize in transforming messy datasets into model-ready formats and integrating machine learning workflows within Excel. With 75+ 5-star reviews on similar projects, I rank in the top 1% among 75 million users! If you're looking for someone who communicates well, delivers quality work, and genuinely cares about the final result, I'd love to hear more about your project. Regards, JamieL01

@DeanSaliegh

I can help you transform your messy Excel workbook into a model-ready dataset while ensuring the entire process is clear and repeatable. I noticed that you're looking for a streamlined approach using Power Query or Python in Excel. I have experience in data cleaning and transformation, including removing duplicates and fixing inconsistent formats. After tidying the data, I’ll set up a lightweight ML model tailored to your needs, ensuring it integrates smoothly with Excel. I’ll also provide a walkthrough document so you can manage future datasets effortlessly. You can check out my similar project: Modern Real Estate Investment Website - [Link]. Let’s chat about your workbook and explore the best approach together. You’ll get a free consultation to kick things off. Regards, Dean Saliegh

@DerrekZhang

Hi, I can clean and restructure your workbook, preserve the transformation steps in Power Query or documented Python, and connect a lightweight classification or regression workflow with clear refresh instructions. I will deliver the cleaned workbook, reproducible model outputs, and a short walkthrough within 2 days. Before starting, please confirm the approximate row and column count and whether the target is categorical or numeric. I can review a sample first and choose the most reliable Excel-native setup.

@huxiong

Hi - I can turn your messy Excel into a model-ready workbook, then wire a lightweight ML workflow you can re-run. Plan: 1) Profile columns, duplicates, formats, missing values 2) Clean + reshape with Power Query (steps saved) and/or Python-in-Excel / small external script 3) Train a simple classification or regression model with clear inputs/outputs + refresh steps 4) Short walkthrough so you can repeat on new files Delivery: cleaned workbook + working model + 1-2 page guide in 4 days. Quick question: roughly how many rows/sheets, and is the target classification or regression?

@MalikSaleemAkbar

Greetings Sir, Your project is exactly the kind of Excel workflow I enjoy building; transforming messy data into a clean, reliable dataset and creating an automated solution that saves time on future updates. My approach: ✔ Review your workbook and understand the data structure ✔ Clean and standardize data (duplicates, missing values, inconsistent formats) ✔ Build a repeatable transformation process using Power Query or documented VBA ✔ Develop a suitable classification or regression model using Python in Excel or an Excel-integrated workflow, depending on your requirements ✔ Deliver a fully documented workbook with clear refresh instructions and a simple user guide Why work with me? • Advanced Excel, Power Query & VBA expertise • Strong background in data analysis, financial reporting, and automation • Detail-oriented with a focus on data accuracy and reproducible workflows • Clear communication and on-time delivery Before starting, I'd like to review your workbook to understand its size, data quality, and the prediction objective so I can recommend the most efficient native Excel solution. I'm confident I can deliver a clean, automated, and easy-to-maintain workflow that you'll be able to reuse with future datasets. Let's discuss your workbook, I can start immediately. Best Regards, Saleem Akbar Malik