Transform Inconsistent Spreadsheets into Business-Ready Data

Transform Inconsistent Spreadsheets into Business-Ready DataTransform Inconsistent Spreadsheets into Business-Ready Data

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Riki Gohain

• Jun 28

From inconsistent spreadsheets to clean, accurate, business-ready data

Data Analysis Data Science Data Visualization Google Sheets Microsoft Excel Python

Suraj Rajput

• Jun 27

Project: Velocity SaaS – Revenue Turnaround Analysis Type: Independent portfolio project Dataset: Synthetic B2B SaaS, 2,000 accounts / 2.2M rows, benchmarked against ProfitWell/OpenView

What I did:

MRR waterfall analysis, churn segmentation by plan/industry/channel

Usage decay / silent churn risk modeling

Logistic regression churn predictor: 98% recall, 70% precision, 0.82 F1

Built executive Looker Studio dashboard + Streamlit churn predictor

Outcome: $411K silent MRR at risk identified, CS-ready prioritized account list Stack: SQL, DuckDB, Python, Pandas, Scikit-learn, Looker Studio, Streamlit

Live app: velocity-saas-churn-predictor.streamlit.app Repo: github.com/SURAJRAJPUT2006

Business Analysis Data Analysis Data Visualization Looker Studio Python SQL

Ritik goyal

• Jul 1

amazing

Israel Omotayo

• Jun 27

Planforge is a practical project tracker built for small teams who want to escape messy group chats and scattered spreadsheets. It lets business owners set up clear workspaces where team members and external guests can collaborate smoothly without seeing each other's private data. Everything runs incredibly fast behind the scenes, meaning pages load instantly and files upload without any lag. It also features a smart AI tool that helps automatically generate and assign tasks to keep projects moving forward. Ultimately, it’s a secure, professional platform designed to handle daily business operations reliably without the bloat of traditional corporate software. Live url: https://planforge.coreapp.name.ng

Completed work