Python Customer Churn Prediction Model

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Customer Churn Prediction Model Using Python Efficiently ❇️ Hi My Friend, I hope you are doing well. I’ve reviewed your project needs and see you are looking for a machine learning expert to predict customer churn. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects in machine learning. I will clean and prepare your data, analyze it, and build a strong model to predict churn while providing insights on how to reduce it, all within your budget. ➡️ Why Me? I can easily build your customer churn prediction model as I have 5 years of experience in Python, machine learning, and data analysis. My expertise includes data cleaning, exploratory data analysis, and model evaluation. Besides, I have a strong grip on Scikit-learn and visualization tools to ensure you get detailed insights. ➡️ Let’s have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to connecting with you! ➡️ Skills & Experience: ✅ Python Programming ✅ Scikit-learn ✅ Data Cleaning ✅ Exploratory Data Analysis ✅ Machine Learning Models ✅ Logistic Regression ✅ Random Forest ✅ KNN ✅ Model Evaluation ✅ Data Visualization ✅ Report Writing ✅ Customer Behavior Analysis Waiting for your response! Best Regards, Zohaib

@tadinhkien

Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@divumanocha

Hello, As a Python developer with over 12 years of experience, I'm confident in my ability to build an effective customer churn prediction model for your business. My technical knowledge and expertise in machine learning using Python and Scikit-learn align perfectly with the requirements of this project. I am proficient in data cleaning, preprocessing, EDA, and training supervised learning models like Logistic Regression and Random Forest - all essential components we will need for this project. Rest assured, the code and visualizations provided will be clean, well-documented and ready for implementation. Moreover, my extensive experience in data science gives me an edge understanding on how to analyze customer behavior thoroughly and propose meaningful strategies based on actionable insights elicited during EDA and model evaluation phase. With Regards! Divya

@programmingarena

Hello there, ✸✸✸Python Expert is Here✸✸✸ I’ve checked your project – “Python Customer Churn Prediction Model” And read the description carefully. As a professional Python Developer, I’m damn sure that I can “develop a Machine Learning (ML) model by using Python that will be able to predicts customer churn for your business” as you required. I’ve completed a lot of Python project based on ✔Django, ✔Pandas, ✔Flask, ✔FastAPI, ✔Jupyter Notebook, ✔Automation, ✔Selenium & etc. Libraries in various platform. Here is some of my recent completed Python Project: ✔️ https://www.freelancer.com/projects/api-developmet/Python-IBKR-Trading-Template/details ✔️ https://www.freelancer.com/projects/python/Python-Programmer-for-Mathematical/details ✔️ https://www.freelancer.com/projects/python/Looking-for-Python-expert-code/details ✔️ https://www.freelancer.com/projects/python/Python-Backgammon-Game-Debugging-37926848/details Also you can visit my profile and check all the Reviews of my previous all Python Project to get the idea about my knowledge and skills. I’m ready to be hired or ready to be awarded as I can start this task Right Now. So, I’m waiting for your response in chat box. Best Regards! Eng. Bablu Mondol

@mobimubasir

Hello, I can build a customer churn prediction model in Python with complete preprocessing, EDA, and machine learning evaluation. I’ll clean the dataset, handle missing values and encoding, create clear visualizations, and train suitable models such as Logistic Regression, Random Forest, or KNN. I will also provide a summary report with model results and practical churn-reduction recommendations. The final delivery will include clean code, notebook/scripts, and a ready-to-use dataset.

@mohjib092

Machine learning specialist with strong Python, Pandas, and Scikit-learn experience—I can build an accurate customer churn prediction model with EDA, visualizations, and a clear report within your timeline

@khaliduom103

‎Hi i am an experienced python developer with PhD in applied mathematics.I can help you python coding, optimization, numerical and stock data prediction with the help of CNN, ANN and PINN. ‎

@chiragardeshna

Hi there I have gone through your requirements regarding the Python customer churn prediction model. I have a proven track record building churn models with scikit-learn. I delivered a Random Forest classifier on telco data that achieved 85% F1-score identifying key churn drivers like tenure and service type. My experience includes full data cleaning encoding categoricals EDA visualizations and model evaluation with precision recall metrics. I created notebooks reports and retention recommendations for telecom e-commerce clients. I am confident I can preprocess analyze model and deliver actionable insights. Thanks Chirag

@jesica46

Hello, I hope you’re having a great day. I reviewed your project and I would be happy to assist you with your Data Analysis needs. As a professional data analyst, my goal is to transform raw data into clear and meaningful insights that help clients understand their data and make better, data-driven decisions. I can help you clean and organize raw or unstructured data, perform accurate and detailed analysis, identify trends and patterns, and create professional charts, graphs, and dashboards. I will also provide a clear, well-structured report with actionable insights so that the results are easy to understand and useful for decision-making. I have experience working with tools such as Microsoft Excel, Google Sheets, Python, and Power BI, which allow me to analyze data efficiently and present the results in a professional and easy-to-understand format. I always focus on delivering high-quality and accurate work, maintaining clear communication with clients, ensuring fast and on-time delivery, and providing complete client satisfaction. I would love to learn more about your project. Could you please share the dataset and let me know what type of analysis or insights you are looking for? Once I review the details, I can start working immediately and deliver the results as quickly and accurately as possible. Thank you for your time and consideration. I look forward to working with you. Best regards,

@daveowebb

Available 24/7, I’m an experienced data analyst with a STEM Ph.D.. I can build a robust churn prediction pipeline from raw data to actionable insights within your 5–7 day timeline. My process includes thorough data cleaning and preprocessing (handling missing values, duplicates, and categorical encoding) to ensure data integrity. I’ll perform exploratory data analysis (EDA) to uncover trends and visualize key churn drivers using libraries like Seaborn, Matplotlib, and Plotly. For modeling, I’ll implement and compare Logistic Regression, Random Forest, and KNN using Scikit-learn, optimizing parameters for the best performance. Model evaluation will rely on accuracy, precision, recall, F1-score, and ROC-AUC to ensure balanced predictive reliability. Finally, I’ll deliver a clean, annotated Jupyter Notebook, all scripts, key visualizations, and a concise summary report with data-driven recommendations to reduce churn. I am ready to work on this right now. Fast replies to messages, same day guaranteed. David

@Web1devloper

With over eight years of experience as a Data Analyst and Scientist, I am confident I can assist you in delivering a superior customer churn prediction model. I possess a deep understanding of **Python, Scikit-learn,** and other relevant tools for this project. Having collaborated with diverse organizations including SaaS, finance, e-commerce, and healthcare industries, my experience spans across various datasets which greatly enriches my data analysis skills. Besides, my mastery in **Statistical Analysis** and **Machine Learning** ensures accurate predictions using suitable algorithms such as logistic regression or random forest. My data solutions are centered around transforming complex datasets into meaningful insights that drive actionable strategies for businesses. This aligns perfectly with your project requirement to provide recommendations based on the findings. Moreover, my expertise in developing dynamic dashboards (including Power BI & Tableau) helps visualize trends & patterns meaningfully for deep comprehension. Lastly, my commitment to clean well-documented code is unwavering. This means that not only will you receive Python scripts and Jupyter Notebooks but also thorough documentation of the codes employed for preprocessing, EDA, and model training. Our successful collaboration will be driven by diligently managing your budget to deliver excellent work within the specified timeline. Excited to bring your project to fruition!

@huonghy89

Hi, I hope you are doing well. Very happy to bid your project because my skills are fitted in your project. I have strong experience in Python-based data analysis and machine learning, building predictive models with pandas, scikit-learn, and visualization tools such as matplotlib and seaborn. I will clean and preprocess your dataset, perform exploratory data analysis with clear visualizations to identify key churn drivers, and build a supervised learning model such as Logistic Regression or Random Forest to accurately predict customer churn. I will also evaluate the model using appropriate metrics and deliver a well-documented Jupyter Notebook along with insights and recommendations to help reduce churn. If you send the message, we can discuss the project more. Thanks.

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Also, we are a team of professional workers, and we are always available 24/7 to help employers without limitations, and delivery is guaranteed on time. Your faithfully. Eng. Alema Akter

@ffulb

Your churn prediction model needs solid data preprocessing, EDA with clear visualizations, and a well-evaluated ML classifier. I'd use Python with scikit-learn to build Random Forest and Logistic Regression models, compare performance metrics, and deliver actionable insights on which customer segments are most at risk. I built a similar data-driven system - a price aggregation engine that analyzes patterns across 800+ products and generates automated insights. The approach mirrors what you need: clean data pipelines, pattern analysis, and predictive modeling. You can see my work at ffulb.com. Available to start immediately and can deliver the complete package with cleaned datasets, documented Jupyter notebooks, visualizations, and strategic recommendations within one week.

@Hemantt841

Hi, I see you need a Python-based customer churn prediction model that includes data cleaning, exploratory analysis, and machine learning with clear reporting. Your focus on handling missing data, encoding categorical variables, and visualizing churn factors shows you want a thorough and actionable solution. The project’s requirement to preprocess the dataset, conduct detailed EDA with visualizations, and train models like Logistic Regression or Random Forest aligns well with your goal of understanding churn drivers and improving retention strategies. You also want a concise report summarizing insights and recommendations, which is critical for turning data into business decisions. I have built several churn prediction models using Python and Scikit-learn where I prepared raw datasets by cleaning and encoding variables, created EDA dashboards to highlight key trends, and trained multiple classifiers with performance metrics. I delivered clean, well-documented Jupyter Notebooks and reports linking data insights to customer behavior strategies, which fits your needs precisely. I can complete this project within 6 days, including all coding, visualization, and reporting. Let’s discuss the dataset size and specifics to ensure the best approach for your business requirements.

@natanr28

Hello, I hope you're doing well. I understand you're looking for a freelancer to build a customer churn prediction model using Python, which is crucial for understanding your business's retention challenges. My background in machine learning and data analysis gives me the expertise needed to tackle this project effectively. To begin, I’ll focus on data cleaning and preprocessing to ensure that your dataset is ready for model training. I will conduct exploratory data analysis to uncover trends and visualize factors that contribute to churn. From there, I will develop a robust supervised learning model and evaluate its performance using key metrics to ensure accuracy. Alongside the model, I’ll provide a comprehensive report summarizing insights and actionable recommendations for reducing churn based on the findings. I'm committed to delivering clean, organized code and visualizations within your timeframe. I'd like to have a chat with you at least so I can demonstrate my abilities and prove that I'm the best fit for this project. Warm regards, Natan.

@cindyviorinar

Hi, I’ve read your brief and can build a practical churn-prediction pipeline that delivers clean code, clear visuals, and actionable recommendations. I have hands-on experience with Python, scikit-learn and customer-behavior analysis, and I’ll address your needs by first cleaning and encoding the data, then performing focused EDA to surface drivers of churn with interpretable visualizations. I’ll train and compare models (logistic regression and tree-based models), tune and evaluate them with accuracy, precision, recall and F1, and produce a concise report with recommended retention strategies tied to model insights. I’ll deliver a cleaned dataset, notebooks/scripts with documented preprocessing, EDA, model training, and visual outputs. Next step: share a sample of the dataset (columns and a few rows) and I’ll outline the exact preprocessing steps and a 5-7 day plan. Can you share a sample of the dataset (column names and ~20 rows) and confirm whether customer IDs and timestamp fields should be retained or removed? Best regards, Cindy Viorina

@patrickag1214

Hello, I am excited to see your job posting which is looking for a freelancer to develop a machine learning model that predicts customer churn. I have extensive experience in Python and data analysis, and I am proficient in using Scikit-learn for building predictive models. My background includes delivering clean, well-documented code and insightful visualizations. I am confident at analyzing trends and patterns in datasets to derive actionable insights. I can effectively prepare data for model training while ensuring high-quality outputs. I would love to understand more about your specific needs. * What specific features do you believe are most important for predicting customer churn? * Are there any particular data sources or types of customer behavior you want me to focus on? * What are your expectations regarding the level of detail in the report and recommendations? I’m happy to discuss with you right now.

@vishala81

Hi, Your project is clear and well-scoped. Predicting customer churn usually comes down to identifying behavioral signals in the data and turning those into a reliable prediction model. I would approach this in three stages. First, I’ll clean and prepare the dataset using Python (Pandas), handling missing values, removing duplicates, and encoding categorical variables so the data is ready for modeling. After that, I’ll run exploratory data analysis to uncover patterns related to churn, creating clear visualizations that show which factors influence customer retention. For the modeling stage, I’ll test suitable supervised algorithms such as Logistic Regression, Random Forest, or KNN. The models will be evaluated using metrics like accuracy, precision, recall, and F1-score to ensure the results are reliable. I’ll select the model that provides the best balance between performance and interpretability. You will receive a well-structured Jupyter Notebook containing preprocessing, EDA, model training, and visualizations, along with a short report summarizing the key insights and practical recommendations to reduce churn. I can complete this within the 2 - 3 day timeline. Quick question: approximately how many records and features are in the dataset? — Vishal