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Exploring stress level patterns with interactive EDA in Python & Streamlit.
Key insights from the data help guide model building for accurate stress prediction.
Tech Stack: Python | Pandas | Matplotlib | Seaborn | Streamlit
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Startups don’t need more data , they need clear decisions.
Most teams collect sales, marketing, and customer data but struggle to answer:
• Why are conversions dropping?
• Which customers drive real revenue?
• Where are we losing money?
I help turn raw data into clear dashboards and actionable insights.
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I focus on practical insights — not just charts.
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— Rabi Ali
Data Analyst | SQL | Python | Power BI
Hey ! :) I built D8A Academy, a plateform to help aspiring data analyst practice their skills, build their portfolio and find a job.
I've been working on this project since 6 months and developed the whole web-app with bubble.
The app allow the users to:
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- Create an online portfolio in less than 5 min
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We have an average of 8 paying students/month since the launch in November and I am still working on making the app better.
The analysis provides an overall assessment of a lending portfolio’s performance, highlighting strengths in stability and customer behavior but also several areas needing improvement. It identifies moderate credit‑model accuracy, data‑quality issues, and uneven risk across customer segments and loan types. Seasonal patterns, acquisition‑channel differences, and delinquency behavior further shape the portfolio’s risk profile.
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