Data Cleaning & Predictive Modeling

@periyannas

Hi There, Glad to know your requirement. I have delivered more than two hundred excel, vba, power query, dax, power bi projects. Could work on this one too. Looking forward to your message. Thank you

@ameenulhaq66

Hi Marwan, Thank you for considering my proposal. With over 8 years of experience in Excel, I have a strong background in data cleaning and predictive modeling. I have carefully reviewed your project requirements and am confident in my ability to assist you. I would like to connect with you in a chat to discuss your project further and understand your specific needs. I am proficient in both Excel and Python with Pandas and scikit-learn, and can provide you with a detailed plan to clean your data, build a predictive model, and ensure its accuracy. Looking forward to discussing your project in more detail. Regards

@GdevDataSceince

Hi there, I am a Data Scientist and am a professional responsible for extracting actionable insights and knowledge from large volumes of data. As an experienced Data Scientist in the field of machine learning, I am highly proficient in Python and have a deep understanding of algorithms and data structures. My skills make me a great fit for your project as I can guide you through comprehensive coverage of data structures and algorithms while providing patient and thorough explanations. I have over 12-plus years of experience with Python Library Pandas, Karas, TensorFlow, NumPy, PyCharm, Py torch, Open CV, NLP, and others. With over a decade's worth of experience under my belt, including expertise in NLP, Natural Language Processing, Neural Networks, CNNs, RNNs, LSTM, GANs just to mention a few, I can provide you not only with knowledge but also how to apply it efficiently. Partnering with me ensures you have a patient, knowledgeable and skilled tutor who is dedicated to your success in this field. My top priority is to provide a high quality of work, https://www.freelancer.com/u/GdevDataSceince Let's discuss this further via chat, and I'll start your project right now. Thanks Gdev

@abhisaini0188

Hello, Thank you so much for posting this opportunity. It sounds like a great fit, and I’d love to be part of it! I’ve worked on similar projects before, and I’m confident I can bring real value to your project. I’m passionate about what I do and always aim to deliver work that’s not only high-quality but also makes things easier and smoother for my clients. Feel free to take a quick look at my profile to see some of the work I’ve done in the past. If it feels like a good match, I’d be happy to chat further about your project and how I can help bring it to life. I’m available to get started right away and will give this project my full attention from day one. Let’s connect and see how we can make this a success together! Looking forward to hearing from you soon. With Regards! Abhishek Saini

@trm66614

Hi there, I am Talha. I can work with your project skills Excel, Pandas, Data Processing, Python, Data Visualization, Predictive Analytics, Data Analysis and Visual Basic I am pleased to present my proposal, highlighting our extensive experience and proven track record in delivering exceptional results. Our portfolio of success will showcase past projects that demonstrate our ability to meet and exceed client expectations. Glowing testimonials from satisfied clients will attest to our professionalism, dedication, and the quality of our work. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@RabailFarrukh

Dear , I am excited about the opportunity to assist you with your project on data cleaning and predictive modeling. With expertise in Python, I can efficiently clean your Excel dataset, remove duplicates, and organize it for analysis. I will then develop a predictive model using advanced AI techniques to forecast sales and identify upcoming trends accurately. I am flexible in my approach, whether working within Excel or utilizing Python with Pandas and scikit-learn to ensure a repeatable process for future use. I will provide a well-commented script for transparency and a predictive model file with a detailed performance report. Additionally, I can incorporate feature engineering and automation tools like Power Query or Google Sheets connectors for seamless data processing. I look forward to discussing your preferred toolchain and initiating this project promptly. Thank you for considering my proposal. Best regards,

@mykhaylob4

✋ Hi there. I can clean your dataset, remove duplicates, and build a predictive sales model that you can easily update in the future. ✔️ I have solid experience in data cleaning, feature engineering, and model development using Python, Pandas, and scikit-learn. Recently, I worked on a retail sales dataset where I automated duplicate detection, transformed messy Excel sheets into structured data, and built a forecasting model that improved trend visibility and accuracy. ✔️ I will start by cleaning and reorganizing your Excel data, removing duplicates, and structuring it into an analysis-ready format. Then I’ll engineer relevant features, train predictive models, and evaluate them with validation metrics to ensure reliability. ✔️ I’ll document every step in a well-commented Python script or Excel macro so you can rerun the process next quarter. I can also set up Power Query automation or Google Sheets syncing for future uploads. Let’s chat about your dataset’s structure and preferred toolchain before I begin. Best regards, Mykhaylo

@EngrAnasAwan5

As a seasoned AI Consultant, Machine Learning Engineer, and Data Scientist, I bring a wealth of relevant experience and skills to tackle your project head-on. I've handled over 260 datasets, cleaned them, built advanced models from time series to image classification, and even optimized them for maximum accuracy and efficiency. I'm fluent in Excel, Pandas, and Python libraries such as scikit-learn – the perfect toolbox for your task at hand. From stripping duplicates, reorganizing the data and building predictive models, to creating clear and accessible documentation for reproducibility, I've got you covered. My projects often integrating smart automation tools like Power Query in Excel or Google Sheets connectors to make your life easier moving forward. Having already delivered 104+ collaborative projects successfully on diverse platforms makes me more than ready to ensure the same with yours. Let’s get started and provide you a clean data set you can trust with accurate forecasting capacity race ahead off upcoming trends!

@MZITSERVICES

Hi there, I am A.R.M. MASUD, with a strong Data Science background. As a Python developer, I have extensive experience building robust, scalable, and efficient solutions that address various business needs. I understand the importance of delivering high-quality, well-architected code, and I am committed to working closely with you to ensure the success of this project. I implement core functionality using Python, utilizing relevant libraries and frameworks such as Pandas, NumPy, GUI, SciPy, Matplotlib, Seaborn, Plotly, Scikit-learn, TensorFlow, Keras, PyTorch, spaCy, Flask, Django, FastAPI, OpenCV, and Jupyter. I am a professional responsible for extracting actionable insights and knowledge from large volumes of data through Machine Learning models, including CNNs, RNNs, LSTMs, GANs, Transformers, FNNs, ANNs, and DNNs. I conduct comprehensive unit, integration, and performance testing to ensure the solution is error-free and optimized. https://www.freelancer.com/u/MZITSERVICES I appreciate the opportunity to submit this proposal and am excited about the possibility of working with you to bring your project to life. Thanks A.R.M MASUD

@josealejandrom95

Hi. https://www.freelancer.com/u/josealejandrom95 I specialise in Python (pandas, scikit learn) and Excel Power Query and have cleaned and modelled sales datasets to improve forecasts for multiple retailers. I will remove duplicate IDs and fuzzy duplicates, tidy columns into a canonical schema, then build feature engineering and a predictive sales model. Preferred toolchain is Python with pandas and scikit learn, delivering cleaned data, scripts, and model in 5 to 7 business days; Excel Power Query is optional. All steps will be reproducible: I will provide a commented script or macro, a Power Query routine if preferred, and a short walkthrough or dashboard. I resolved a tricky case of near duplicate customers by combining fuzzy matching, phonetic keys and group clustering then enforcing atomic merges to preserve correct totals. I will start as soon as you share the workbook and preferred output format and will ensure zero duplicate IDs and a validated model report. Thanks.

@muamerITdev

Warm Greeting! I understand you need your Excel dataset cleaned of duplicates, reorganized for analysis, and used to build a predictive model to forecast sales and identify trends. My approach is to first de-duplicate and tidy your dataset using either Python with Pandas or Excel/Power Query—whichever best fits your workflow—ensuring all steps are fully documented for repeatable future use. After that, I’ll perform feature engineering, train a predictive model (e.g., regression or ensemble methods), evaluate its accuracy on a held-out set, and deliver a concise summary of insights. I can also provide a simple dashboard or walkthrough so you can track trends and rerun the process next quarter with ease. I’ve received excellent feedback from clients on this platform and continue to deliver high-quality work with a strong focus on reliability and results. With years of experience building data pipelines and predictive models for global clients, I offer competitive rates without compromising on quality. I’m excited about the opportunity to collaborate and look forward to working with you! Best regards, Muamer Kaukovic

@forsovateam

We will remove duplicate records and reorganize your dataset into a tidy, analysis-ready Excel or linked Google Sheet that opens with zero duplicate IDs. Our team will document repeatable cleaning steps via a well-commented Python (Pandas/scikit-learn) script or an Excel macro/Power Query routine, perform targeted feature engineering, and train a predictive model validated on a held-out set to forecast sales and highlight trends. We will deliver the cleaned file, the reproducible script or macro, the trained model with a concise performance report, and a brief walkthrough or dashboard; please confirm your preferred toolchain and provide a sample file to begin.

@jay8mac

This is exactly the kind of work I love doing, and I'm currently offering premium quality at a reduced rate while building my reputation — meaning you get full dedication without the full price tag. I understand your need to remove duplicates, clean and organize your Excel dataset for clear analytics. You aim to quickly dissect metrics and strategically forecast your sales trends through tidy, de-duplicated data and predictive modeling. Opting for functionality via Python or pathing a viable predictor with container docs with repeat-ready precision spells consequential differences. I have extensive experience in Python, data analysis, and pandas. My skills align perfectly with your requirements for effective duplication removal and prediction accuracy. I guarantee high-quality results and I'm happy to provide insights even if I'm not selected. Looking forward to potentially collaborating. Regards, Jason McLachlan

@albertc1996

I can help you clean, de-duplicate, and transform your Excel dataset into an analysis-ready format, then build a predictive model that forecasts sales trends with accuracy and transparency. Here’s my approach: Data Cleaning: Identify and remove duplicates using unique IDs or fuzzy matching, standardize column formats, and reorganize the sheet into a structured, analysis-friendly layout. Repeatable Workflow: Implement the entire process in Python (Pandas + scikit-learn) or directly in Excel with Power Query, depending on your preference — every step fully documented so you can rerun it anytime. Feature Engineering: Derive meaningful predictors (e.g., seasonality, category-level metrics, moving averages) to enhance model performance. Predictive Modeling: Train and evaluate regression or time-series models, benchmark results on a held-out set, and clearly report accuracy metrics (R², RMSE, etc.). Deliverables: • Cleaned, de-duplicated dataset • Well-commented script/macro for reproducibility • Model file + performance summary • Optional Power BI or Excel dashboard to visualize key insights The result will be a fully documented, repeatable data pipeline and a reliable model you can extend every quarter without external help.

@jhony1981

Hi, Expert Data Analyst familiar with Excel and Python - ready to transform your messy sales data into actionable insights! I’ll quickly remove every duplicate, restructure your file for seamless analysis, and build a reliable predictive model that gives you sales forecasts you can trust. You get a cleaned Excel file, a fully documented workflow (Excel or Python), and a clear modelling report with accuracy metrics. Feature engineering and process automation included where it adds value, plus a brief walkthrough for total clarity. Let’s make your data error-free and future-ready on your timeline and with repeatable results.

@adisonw

How do you do? Your project aligns perfectly with my data engineering and machine learning experience. I can clean and restructure your Excel dataset into a consistent, analysis-ready format and then build a predictive model to help you forecast sales trends with clarity and confidence. Here’s how I’ll proceed: Data Cleaning & Deduplication: Identify and remove duplicate IDs using either Python (Pandas) or Excel Power Query, ensuring all metrics are reliable. I’ll also standardize formats, fix missing values, and organize data into a clean schema for analysis. Reproducible Workflow: Deliver a fully commented Python script or Excel macro so you can rerun the process anytime. Feature Engineering & Modelling: Develop relevant predictors (seasonality, region, product mix, etc.) and train a model using scikit-learn (e.g., Random Forest or Gradient Boosting). I’ll provide performance metrics such as R², MAE, and RMSE. Forecast & Insights: Create a concise summary report or dashboard highlighting key sales trends, growth signals, and predicted outcomes. Automation Option: If desired, I can add a Power Query or Google Sheets link for future data refreshes. Timeline: 3–5 days for full cleaning, modelling, and documentation. You’ll receive a validated, de-duplicated dataset and a transparent, repeatable pipeline. Best regards, Adison W

@ivicab6

Hello, I’ve worked extensively on cleaning datasets and building predictive models, especially using Python with Pandas and Scikit-learn. I can easily remove duplicates and reorganize your data to be analysis-ready. After that, I'll focus on feature engineering and provide a clear model summary for forecasting sales. For future automation, I can implement a Power Query routine or Google Sheets connector as needed. If you'd like, we can start with a small test task to ensure I meet your expectations. Thanks, Ivica

@RickJMc83

Hello, I appreciate the opportunity to assist with your data cleaning and predictive modeling project. Ensuring the integrity of your dataset is crucial for accurate forecasting, and I am well-equipped to tackle this using either Excel or Python, depending on your preference. First, I will meticulously clean the dataset by removing duplicates and reformatting it into a tidy, analysis-ready structure. I will then implement feature engineering to enhance the dataset, ensuring that the predictive model built using scikit-learn is robust and reliable. Following this, I will provide a well-commented script or macro that allows you to replicate the cleaning process effortlessly in future quarters. Additionally, I will prepare a summary report on the model's performance metrics and create a dashboard that clearly highlights the key insights. What specific sales metrics are you most interested in forecasting with the predictive model? Thanks, Richard

@shihabaraf

As a versatile AI Engineer and Full-Stack Developer, I bring the perfect blend of data analysis expertise and software development proficiency to your project. With proficiency in both Excel and Python (Pandas and scikit-learn), I can choose the right tool for your project while ensuring repeatability for future use. My experience includes conducting data cleaning at scale, unravelling complicated datasets, and building predictive models across multiple domains. For instance, I developed a medical note classification system utilizing BERT, Scikit-learn, and SpaCy; providing targeted predictions to compliment healthcare decision-making. In another project, I analyzed voice features to estimate dementia risk - an endeavor that sharpened my data cleaning skills given the nuances associated with audio data. Furthermore, my previous work involved creating automated processes using Power Query and connectors for seamless data importation. I'm confident in my ability to provide a well-commented script or macro to document the necessary cleaning steps. Additionally, my strong background in data visualization will enable me to present findings via clear communications such as summary reports or walkthroughs that uncover the most impactful insights from your sales forecasting model. Let's kickstart this exciting project together.