First time working on a fintech loan dataset. It wasn’t an easy task because it’s my first time, understanding the dataset, adding of new columns for more insights , cleaning and avoiding mistakes of deleting vital columns which may appear as duplicates.I’m open for corrections🙏
Fintech data will humble you 😭 Just finished cleaning a loan dataset and let’s just say — dirty data leads to dirty decisions. Dataset before cleaning VS After cleaning and adding some vital columns to make more insights…. Check comments for tips 👇🏾👇🏾
Feeling stressed, overwhelmed, or just… tired? Take 1–2 mins to share how you really feel — it’s anonymous and safe. forms.gle/sHkD6DYhwnmQTg…
A data analyst 📊 specializes in using tools like Excel, Power BI, SQL, and Python for data analysis and visualization.
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