Advanced Analytics for Customer Retention

@chraheelbhatti

With my decade-long experience in shaping machine learning models to extract meaningful insights from complex data sets, I am confident that I can add immense value to your project on customer retention using advanced analytics. Having design and deployed end-to-end machine learning products at the likes of Unilever Pakistan and State Bank of Pakistan, I understand the vital role data plays in guiding strategic business decisions. My proficiency in predictive modeling using ANFIS, k-means clustering, and applying multi-criteria decision-making (MCDM) makes me an ideal fit for all three tasks outlined. I have successfully employed these techniques in various domains, including finance and surveillance, and my post-doctoral research in the field bolsters my understanding of their complex intricacies.

@khaliduom103

Hi i am an experienced data analyst and cluster analyst.I can help you in your current project with 100 prediction results.

@eliza019

Hello there, With extensive experience in statistical and predictive analytics, My proficiency in SPSS combined with my programming skills in Python will not only ensure an effective data analysis but also allow for flexibility and automation, optimizing efficiency throughout the process. Throughout my career, I have consistently proven my problem-solving mindset transforming complex datasets into clear and actionable insights that clients can use to drive their business forward. Data cleaning and transformation is an often-overlooked area of importance; however, it's where precise analysis begins. My vast experience in this area ensures thorough sorting of your data for accurate analysis - leaving no stone unturned. Lastly, I recognize that clear communication is vital to successful project completion. I assure you of my commitment in communicating regularly and effectively throughout this project, leaving no room for ambiguities. Trusting me with this project will not just avail you of a qualified individual but also someone who is dedicated in leveraging their knowledge and experience for unparalleled client satisfaction.

@tisakarinafarau2

Hi, I can deliver this as a complete, academically sound analytics project with both rigorous modelling and clear managerial insight. I will start by cleaning and normalizing the dataset, handling scale differences and validating assumptions before modelling. For churn prediction, I will develop an ANFIS model using the 200 labelled customers, carefully defining membership functions and training parameters, then validate performance using appropriate error and fit metrics before predicting churn probabilities for the remaining 100 customers. For segmentation, I will normalize behavioral variables and predicted churn risk and apply a well-justified clustering method (K-means or SOM), with clear reasoning for parameter selection and exactly nine stable, interpretable clusters. Each cluster will be profiled in business terms, not just statistically. For decision support, I will treat clusters as alternatives and apply an MCDM technique with justified criteria selection and weights derived from churn risk, value, and engagement. The final ranking will be interpreted from a managerial perspective, translating analytics into retention and prioritization actions. You will receive a structured 2,000-word Word report aligned to academic standards and a clean Excel analysis file showing all preprocessing, modelling outputs, and results. I focus on clarity, methodological justification, and actionable insight rather than black-box results. Best regards, Tisa

@lavanyakb

I will be able to provide the expected report as I have 20+ experience in the IT field. I can give managerial insight and also the analysis report which is expected.