I can help you conduct data mining and reporting using R
- 4.1
- (5)
Project Details
Why Hire Me?
📱Click to Connect on Whatsapp to Discuss Your Project
I turn large, messy datasets into clear insights using R. Whether it's trend discovery, segmentation, or predictive modeling, I use the full power of R—from tidyverse to machine learning libraries—to answer real business or research questions. My reports are built to inform decisions, not just fill pages.
Why I’m the Right Expert:
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7+ years of hands-on data analysis experience using R
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Skilled in tidyverse, caret, ggplot2, shiny, and markdown
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Can work on clustering, classification, regression, and outlier detection
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Build clear, structured R Markdown and Shiny reports
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Ability to customize visualizations and deliver insights relevant to your domain
What I Need to Start Your Project
To ensure accurate and actionable results, please share the following:
1) Project Goals and Deliverables
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What is the primary objective of the analysis? (e.g., segmentation, prediction, exploratory insights)
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Do you require a static PDF report, R Markdown file, or an interactive Shiny app?
2) Data Access & Description
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Dataset format (CSV, Excel, SQL export, etc.)
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Volume of records and number of variables
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Any variables or columns of special interest
3) Methodology Preferences
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Techniques you would like me to use (e.g., K-means, decision trees, PCA)
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Any R packages you prefer (or want me to avoid)
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Whether exploratory data analysis (EDA) is needed
4) Reporting & Visualization Needs
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Specific charts (bar plots, heatmaps, scatter plots, etc.) or dashboard layout preferences
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Requirement for interactivity (e.g., filterable tables, responsive charts)
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Branding or color themes, if applicable
5) Timeline & Review Checkpoints
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Final deadline
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Any intermediate checkpoints for review or feedback
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Urgency level (standard, priority, express)
6) Post-Delivery Expectations
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Do you want a debrief or training session on how to reuse or interpret the R code/report?
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Would you like editable source files for future use?
7) Communication Preferences
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Preferred channels (email, Zoom, WhatsApp)
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How often you'd like updates
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Stakeholders involved for approvals or review
Portfolio
Customer Segmentation and LTV Modeling in R for a U.S. Subscription Box Brand
Segmented customers using K-Means and predicted lifetime value using regression in R. The model enabled targeted retention campaigns and improved revenue forecasting.
Fraud Pattern Discovery with Unsupervised Learning in R for a U.S. Fintech Startup
Built an unsupervised anomaly detection system using R for a fintech firm’s transaction logs. Enabled early identification of fraud patterns and reduced false positives in manual reviews.
High-Risk Patient Segmentation Using R for a Regional U.S. Healthcare Network
Segmented patients using clustering and classification models in R to flag chronic disease risk. The model guided early intervention policies and improved patient monitoring protocols.
Process
Customer Reviews
5 reviews for this Gig ★★★★☆ 4.1
Great knowledge of R and very responsive to feedback. Helped simplify complex trends in our operations data. Would prefer more visual customization next time.
The models were accurate and the reporting was clear. I had some delay in delivery, but the quality made up for it. Will hire again for future analytics work.
Very satisfied with the level of statistical analysis. The report helped us identify customer churn patterns. Some sections of the R Markdown could have been formatted better.
The use of ggplot2 and clustering was excellent. However, a bit more explanation was needed in the insights section. Overall, a valuable output.
Efficient and professional. Delivered a clean and detailed Shiny dashboard that helped visualize our retail data. Communication was smooth throughout.






