Data Analysis & Insights (Python/R/Excel/Tableau) by Weon Gyu Jeon

Data Analysis & Insights (Python/R/Excel/Tableau)

Weon Gyu Jeon

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About this service

Summary

I provide clear, structured data analysis that turns raw numbers into actionable insights. Using Excel, Python, SQL, and R, I clean data, uncover trends, and deliver concise recommendations. I can also build simple predictive or statistical models using tools like scikit-learn, PyTorch, and classical machine learning techniques when needed.

FAQs

What formats do you accept?
Excel, CSV, Google Sheets, or database exports.
Do you help interpret results?
Yes, analysis includes insights and recommendations, not just numbers. I can deliver deeper analysis through short report using visualizations.
Can you add visualizations?
Basic charts are included on request; full dashboards are a separate service.
Can you build machine learning models?
Yes — for suitable projects, I can build simple predictive models (regression, classification, or forecasting) using Python (scikit-learn, PyTorch) or R. I focus on practicality and explain results clearly.

What's included

Cleaned & Organized Dataset
I will clean, standardize, and validate your raw data—fixing errors, removing duplicates, formatting tables, and preparing the dataset for accurate analysis.
KPI & Trend Analysis Report
A structured breakdown of key performance indicators, patterns, correlations, and insights—summarized clearly and written for decision-makers.
Simple Predictive/Statistical Model
I can create basic regression or prediction models using scikit-learn or PyTorch, including evaluation metrics and a summary explaining what the model means for your data.
Insights Summary (Report)
A clear executive-style summary highlighting findings, risks, and recommendations for your next steps.

Example projects