Data Analyst | SQL · Python · Power BI | Churn Modeling · Customer Analytics · EDA | Turning 200K+ Record Datasets into Revenue-Protecting Decisions








MTech Integrated, Software Engineering
Vellore Institute of Technology
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Download Tal BossData Analyst | SQL · Python · Power BI | Churn Modeling · Customer Analytics · EDA | Turning 200K+ Record Datasets into Revenue-Protecting Decisions
I don't just analyze data — I find the revenue hiding inside it. In my role as a Data Science Consultant at Rubixe AI Solutions, I worked across datasets of 20K to 200K+ records to solve real business problems: predicting which customers would churn before they did, quantifying ₹1.39 lakh/month in preventable revenue loss, and automating reporting workflows that freed up 30% of manual processing time every week. My stack: SQL (advanced — joins, window functions, CTEs, query optimization), Python (Pandas, NumPy, Scikit-learn), Power BI (KPI dashboards, DAX, data modeling), and Excel (Power Query, Pivot Tables, XLOOKUP). I've also worked with MySQL, MongoDB, and Tableau. What I do well — and what I think matters most — is the translation layer: turning a complex model output or a messy dataset into a clear, actionable recommendation that a business leader can act on the same day. Currently open to Data Analyst and Business Analyst roles at startups and MNCs where data is treated as a strategic asset, not an afterthought. 📩 ramithamethuku@gmail.com
Bengaluru
claude code
gemini
hugging face
meta
Blackbox AI
ChatGPT
Data Science Intern at Rubixe - AI Solutions Company, Jan 2025 - Dec 2025 · 1 yr, • Led end-to-end delivery across 3 concurrent client projects — scoped requirements, engineered Python and SQL pipelines on 20K–200K+ record datasets, and presented insights to senior stakeholders. • Automated data cleaning and reporting workflows using Python, reducing manual processing time by 30% and eliminating errors in weekly stakeholder reports. • Optimised 10+ SQL queries using indexing, CTEs, and restructuring, improving dashboard load times by 35% and enabling real-time reporting for business teams. • Performed EDA and customer segmentation across 5+ datasets, surfacing behaviour patterns and revenue drivers that directly shaped client retention strategy.
MTech Integrated, Software Engineering, Vellore Institute of Technology