Predict Open Order Sales

@schoudhary1553

As a seasoned Full stack developer with over 7 years of experience in data analysis and statistical modeling, I am highly qualified to tackle your project. Throughout my career, I’ve implemented various time-to-event survival models, regression techniques, and other predictive analytics approaches with great success. Leveraging these techniques to evaluate and forecast your open orders is well within my wheelhouse. One of my key strengths as a data scientist is my meticulous approach to data cleaning and handling. I assure you of transparent and reproducible logic in all steps of the process, right from documenting the cleaning steps to providing the finished model and formulas. Moreover, I can also go an extra mile to create a concise guide on how to refresh the forecast in the future when new data arrives. Lastly, my unwavering commitment to customer satisfaction aligns perfectly with your project requirements. I emphasize on developing long-term relationships with clients – which means that your 100% satisfaction is guaranteed. Partnering with me would not only ensure efficient turnaround but also the highest-quality work that justifies your investment. Let's proceed together towards an informed order revenue estimation!

@LiveExperts

Hello, At Live Experts, we house a team of qualified engineers and developers who are eager to tackle your data analysis project. Our expansive set of skills, ranging from machine and deep learning to statistical analysis and modeling, make us well positioned to quickly grasp the complexities of your task. With extensive experience in SPSS Statistics, we will deliver efficient analysis that provides reliable forecast models for current open orders as well as an overall sales projection. Transparency is sacred in data science, and we understand the importance of traceability for reproducible results. Thus, in adherence to your needs, we'll document every step of our cleaning process and provide clear code or formulas to demonstrate our approach. This way, even with new data or a change request, you can easily update and maintain the forecasts yourself without worrying about vendor lock-in. With an unwavering commitment to high-quality work, Live Experts not only translates your ideas into reality but also ensures your utmost satisfaction throughout the project. We are ready to optimize and customize modelling techniques including regression or time-to-event survival models for this specific problem. Give us a chance to prove ourselves; let's get started on taking your open order sales forecasting to another level! Thanks!

@ayazakhtar75

Drawing from my 16+ years of experience in data analysis and my proficiency in Excel, I am confident in leveraging your existing dataset to create insightful predictions for your open order sales. Adapting to your preferences, I can expertly employ a range of modeling techniques—mastery in time-to-event survival and regression models as well—providing you with an estimable forecast you can rely on. Your project demands actionable insights, and that’s exactly what I can provide. Having extensively worked with financial modeling, pivot tables and complex formula architecture, I guarantee utmost accuracy in the entire analytical process, from cleaning the data to presenting the final results. Not only will I develop your forecasted model but I will also document the whole procedure, empowering you to refresh the forecast autonomously as new data arrives. What sets me further apart is my proclivity towards automation which can help eliminate any room for human error and significantly boost productivity for future applications of the model. In addition to Excel-VBA automation expertise, my ability to translate this work into other platforms like SPSS Statistics makes me a versatile and adaptable choice for any potential follow-up or expansion upon this project. Let's collaborate not just on producing great outcomes but on enhancing efficiency in all your business operations.

@ShaikhAneesa

Hello, I have carefully reviewed your project requirements and clearly understand the need to build a reliable predictive model that estimates expected revenue from currently open orders using historical close and cancellation patterns. I can confidently deliver a transparent and reproducible forecasting solution. I will begin by cleaning and structuring your dataset in Microsoft Excel and Python, validating date fields, revenue values, and status transitions to ensure modeling accuracy. I will document all preprocessing steps for clarity and repeatability. Next, I will apply predictive techniques such as logistic regression and time-to-event modeling using Python libraries like pandas and scikit-learn to estimate close probabilities and expected revenue per open order. Model performance will be tested and refined using historical validation. Finally, I will deliver an Excel-integrated forecast with refresh instructions and clear logic documentation for future updates. Do your open orders include estimated deal values already, or should they be derived from historical averages? Let’s connect in chat to proceed. Best Regards, Aneesa.

@HiraMahmood4072

Hello I hope you're doing well. I understand you're looking for Predict Open Order Sales I am the ideal candidate for your project. I have read the provided job description and I understand what you are looking for. I have over 10+ years of experience Excel, Statistics, Statistical Analysis, SPSS Statistics, Data Science, Data Analysis, Statistical Modeling, Predictive Analytics .Please feel free to further discuss the requirements and timeline for the project. I'd be happy to assist you. I am ready to start right now. ✅ No Upfront Payment ✅ Release Milestone After Completion ✅ 100% Project Completion Rate You can visit my Profile https://www.freelancer.com/u/HiraMahmood4072 Thank you

@zafarfarooq612

Hello, I’m a data analyst with strong experience in predictive revenue modeling and Excel-based forecasting, and I can transform your historical order data into a transparent, reproducible model that estimates expected revenue for every currently open order as well as an overall sales forecast. I will begin by cleaning and structuring the dataset (fully documenting each step), then analyze historical close vs. cancel behavior to calculate probability-weighted revenue using the most statistically appropriate method—whether logistic regression, survival analysis, or a calibrated probability model based on order age and other patterns in your data. The final deliverable will include the updated Excel file with clearly structured formulas or linked model outputs, expected value calculations per open order, a consolidated forecast summary, and concise instructions explaining assumptions, methodology, and how to refresh the forecast when new data is added. Regards, Zafar

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Excel, Statistics, Statistical Analysis, SPSS Statistics, Data Science, Data Analysis, Statistical Modeling, Predictive Analytics and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@Feriver

Hello, I understand you need a predictive model to estimate expected revenue from currently open orders using historical close/cancel data. I can clean and analyze your Excel dataset, apply transparent predictive analytics, and generate expected values for each open order and an overall sales forecast. My methodology includes data preprocessing, exploratory analysis, and applying a suitable model—whether regression, survival/time-to-event, or probabilistic approaches—fully documented for reproducibility. I will provide formulas, code, or Excel logic so forecasts can be updated automatically with new data. Deliverables include a cleaned and documented Excel dataset, predictive model with expected values per open order, overall sales forecast, step-by-step instructions for refreshing predictions, and a short explanation of model choice and assumptions. Clarification Questions: Are you looking for order-level probability estimates, or only aggregated revenue forecasts? Should the model account for seasonality or other temporal trends in order closures? Thanks, Asif.

@rosscarter1011

Hello, I am excited to apply for your project on predicting revenue from open orders. With my strong background in data analysis and predictive modeling, I can deliver a clear, data-driven forecast that will help you understand the realistic revenue potential of your current orders. From your description, I understand you need: • An expected revenue for each currently open order. • An overall sales forecast. • A transparent and reproducible modeling approach that can be updated as new data arrives. How I will approach this project: 1. Data Cleaning & Preparation: I will carefully clean your Excel data, handle missing values, and ensure all relevant variables are properly formatted. 2. Exploratory Analysis: I will analyze historical orders to understand patterns in closures and cancellations. 3. Predictive Modeling: I will apply the most suitable approach—be it regression, survival analysis, or another statistical method—to estimate the expected revenue for open orders. 4. Documentation & Instructions: I will provide clear documentation of all steps, including formulas or code used, and instructions on how to refresh the forecast when new data is added. Why you should choose me: • I have extensive experience in Excel-based data analysis, statistical modeling, and predictive analytics. • I am detail-oriented and ensure that all models are transparent, reproducible, and actionable. • I have successfully completed projects involving sales forecasting, data cleaning, and analytical reporting, delivering results that drive informed business decisions. I am confident that I can provide accurate, actionable forecasts that meet your needs. I am ready to start immediately and will ensure timely delivery. Looking forward to working with you! Best regards

@KirtikaKataria

Hi there, I am confident I can create a robust, data-driven forecast for your open orders using historical close/cancel data. With strong experience in predictive analytics, statistical modeling, and Excel-based forecasting, I specialise in building transparent and reproducible models that deliver actionable insights. My approach will begin by reviewing and cleaning your Excel dataset, checking for missing dates, inconsistent statuses, or duplicate entries. Then, I will explore your historical data using descriptive statistics to understand closure rates, average timelines, and revenue patterns. Next, I will develop a predictive model using regression, survival analysis, or a hybrid approach as most suitable to calculate expected revenue for each currently open order, while also producing an overall sales forecast. Finally, I will implement the model directly in Excel with clear formulas or embedded code, document all cleaning and modeling steps, and provide a concise guide on refreshing the forecast when new orders are added. This ensures the tool remains reliable and self-sufficient over time. Deliverables: A fully cleaned dataset, order-level expected values, overall forecast, documented model logic, and a short user guide for updating forecasts. QUESTION: Do you prefer the model fully embedded in Excel, or can it include auxiliary tools like Power Query or VBA for calculations? Let’s chat and get started now! Regards, Shehwani.

@susiek0125

Hi, there, I appreciate your clear description and data-driven approach to forecasting open order sales. Having worked extensively with Excel-based order datasets and predictive analytics, I understand your goal: to generate a reliable, transparent estimate of expected revenue from open orders, leveraging historical close/cancel patterns. ✅Backend scope I will analyze your Excel data using Python (pandas, scikit-learn, and optionally lifelines for survival analysis), ensuring robust cleaning and feature engineering. Depending on your data, I’ll compare logistic regression, survival models, and ensemble approaches to estimate the probability and value of closure for each open order. All model logic will be documented for transparency and reproducibility. ✅Frontend scope Results will be delivered directly in your Excel file—each open order annotated with its expected value and closure probability. I can also create a simple dashboard or summary sheet for at-a-glance sales forecasts, using Excel formulas or embedded Python (via Excel’s Python integration or Power Query, if desired). ✅Deliverables - Cleaned and annotated Excel file with forecasts - Fully documented code (Python scripts or Excel formulas) - Step-by-step guide to refreshing the forecast as new data is added - Clear explanation of the modeling approach and assumptions Your request for a transparent solution aligns perfectly with my approach. I can start immediately and will ensure that the workflow is easy for your team to update as your order log grows. I am looking forward to working with you. Best Regards Susie Kalson

@dejanv7

I’ll start from your Excel file and the moment I see the phrase “open orders,” my mind goes straight to forecasting. You want a clear, data-driven estimate for revenue on open orders, plus an overall forecast using a method that’s transparent and reproducible. I’ll clean the data, document every step, and build a model that can be refreshed with new rows as they arrive. I’ve worked with similar open-pipeline problems, turns out a mix of survival-style timing and revenue contribution works better than a single magic formula. I’ll share the code or formulas you can drop into Excel or Python, plus a short walkthrough so your team can reproduce the forecast without guesswork. This reminds me of a project I finished recently where a simple, well-documented pipeline outperformed a fancier approach because it was easy to audit. And yes, I’ll include an explicit method to refresh forecasts when new orders arrive. I’ll keep the interface clean and the narrative practical, not overcomplicated. Thanks, Dejan

@farhan5599

I am a BSc Statistics graduate and a professional-level MS Excel expert with strong experience in predictive modeling, financial forecasting, and automation. I have previously developed an advanced automated Excel tracking system for a USA-based UPS company, and I would be happy to share that work sample for your review. I fully understand your requirement: analyzing historical order data (open date, status — closed, cancelled, still open) and building a transparent, reproducible predictive model with complete formulas, documentation, and a clear method to refresh forecasts as new data arrives. I am highly experienced in building structured, professional, premium-level analytical tools with clean logic and reliable outputs. I am confident I can deliver an accurate and well-documented forecasting solution for you. Looking forward to discussing this further.

@mercye46

Leveraging my extensive skillset in Data Analysis and Excel, I am uniquely positioned to deliver on the complexities of this project. Having previously worked with large datasets, I am not only adept at cleaning and analyzing data but also proficient in selecting the most appropriate statistical methodologies for accurate predictions. My familiarity with regression models, as well as my drive to explore alternative methods when necessary, will enable me to provide robust forecast models for your open orders. This project encompasses areas I have a wealth of experience in, ensuring that my service will be comprehensive and impeccable. In addition to data analytics, my five-year-spanning career as a Virtual Assistant has sharpened other invaluable skills like organization, communication, and project coordination which are essential in mapping out a strategy and delivering your project on time. A noteworthy point is my willingness and ability to work independently while maintaining transparency and reproducibility- essential qualities for this job. Rest assured that I will document every step taken from data cleaning to model-building so that you can easily replicate the process or update the forecast with new data in the future. I look forward to making your data more impactful by providing accurate and insightful sales predictions. Together we can take your business to greater heights!

@Lazarone1

Hi, that’s great to hear! Your project closely aligns with one I recently completed. In that project, I built a predictive forecasting system using survival analysis, logistic regression, and historical probability weighting with automated data cleaning, model transparency, and reproducibility built in. For your open orders, I can apply a similar approach by analysing close and cancellation patterns, generating expected revenue values per order, and producing a clear overall sales forecast directly from your Excel dataset. I will also provide documentation and a simple refresh workflow so you can update forecasts as new orders arrive. I’d be glad to connect and share my experience in more detail over chat. Thank you. Best regards, Lazar

@fakhara1ha

Hey , I just finished reading the job description and I see you are looking for someone experienced in Excel, SPSS Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Statistical Modeling and Predictive Analytics. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further.

@bilalkhen

Hi, I can analyze your historical orders (closed, cancelled, and open) and build a reliable predictive model directly from your Excel file. My approach will be simple, transparent, and reproducible: • Clean and prepare your Excel data (dates, status, revenue, missing values) • Analyze close vs cancel patterns and conversion rates over time • Apply the best model (regression or survival/time-to-close analysis depending on accuracy) • Calculate expected value for each open order • Provide total revenue forecast • Deliver Excel formulas + Python notebook/script so you can refresh anytime You’ll receive: • Updated Excel with expected revenue per order • Overall sales forecast dashboard • Model code (Python/Pandas/Scikit-learn) • Clear steps to refresh when new data is added I’ve built similar forecasting and analytics systems using: • Microsoft Excel • Python Software Foundation • scikit-learn

@JanRyan2003

With my strong background in Full Stack Web development and Data Analysis, I'm confident I can provide you with an excellent solution for your project. I've worked on projects similar to yours before, where detailed data analysis was necessary to generate reliable forecasts and actionable insights. My proficiency in Python, R, and Excel will enable me to efficiently clean and analyze your historical order data. When it comes to forecasting, transparency and reproducibility are essential for any viable model, and that is something I prioritize. I'll ensure the logic behind the chosen modelling approach—whether that's regression, survival models or others—is clearly explained in the code base. Not only will I present you with comprehensive documentation but also a short explanation on how to refresh the forecast when new data arrives. Lastly, beyond technical skills, my emphasis on clear communication and attention to detail makes me a valuable partner throughout this project. From discussing the requirements to delivering the final model, rest assured that you'll receive consistent updates and highly accurate outputs within the desired timeframe. I look forward to the opportunity of working with you.

@mehedih064

"Hello, I am interested in your project regarding order sales prediction using Excel and Statistics. I have a good command of Excel formulas and statistical analysis. I can help you analyze your data accurately to provide the insights you need. I am ready to start immediately. Let's discuss further in chat."