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$
USD
I will build a customer churn prediction model to increase retention
Expert in Data Analysis and Visualization using Excel and Python
Hey there! I'm Muhammad Hashir, an experienced data analyst with OVER FIVE years of experience specializing in Microsoft Excel, Python, R Studio in data analysis and visualization. I have a degree in ...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Is your business losing revenue to high customer churn?
Stop guessing why users drop off. As a management scientist and data consultant, I specialize in turning raw user data into highly actionable retention strategies. I help subscription startups, SaaS platforms, and e-commerce brands predict churn before it happens and protect their bottom line.
What I Offer:
* Custom Churn Prediction: Machine learning & statistical modeling (Python/R) to identify high-risk user segments.
* Cohort & Cluster Analysis: Deep dive into customer behavior to see exactly when and why users lose engagement.
* Data-Driven Retention Strategy: Tailored, metric-backed action plans to optimize your marketing campaigns and cut redundant costs.
Why Partner With Me?
I don't just hand you raw code or standard spreadsheets. I deliver enterprise-level data analysis and clear business insights that help you make strategic decisions with confidence.
Lets plug the leaks in your customer lifecycle and scale your revenue.
Contact me today to discuss your data schema before placing an order!
My Portfolio
FAQ
What data formats or platforms do you work with?
I work seamlessly with a wide range of formats including CSV, Excel/Google Sheets, SQL databases, and JSON files. Whether your user data is stored in a clean CRM database or raw transaction logs, I can extract, clean, and process it using Python or R.
Is my business and customer data safe with you?
Absolutely. Data privacy and security are my top priorities. I am fully open to signing a Non-Disclosure Agreement (NDA) before you share any dataset. All client data is handled locally, processed securely, and permanently deleted upon successful completion and approval of the project.
What if my dataset is messy, unformatted, or missing values?
That is completely normal! Real-world data is rarely clean. Every package includes a dedicated data cleaning and preprocessing phase where I handle missing variables, fix structural formatting errors, and structure the schema so it is perfectly optimized for predictive modeling.
Can you create a custom order if my project doesn't fit your packages?
Yes, absolutely. Every business has a unique data infrastructure and specific customer lifecycle milestones. I highly encourage you to send me a direct message with a brief overview of your data goals so we can hop on a quick alignment chat and structure a tailored custom offer for you.
