Looking for a job

shirish bandari

@shirishbandari

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I turn complex data into actionable business insights and dashboards.

India

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What I'm looking for

I'm looking for a data-focused role where I can use SQL, Python, BI dashboards, and analytical techniques to improve reporting quality, uncover actionable insights, and support data-driven business decisions.

I've delivered reporting, dashboards, and business insights at Zen Data Shastra using SQL, Tableau, Power BI, and Excel VBA. My work included complex joins, CTEs, views, stored procedures, data validation, and automation for accurate client reporting.

At Turing Global India, I evaluated LLM output quality, identified recurring defect patterns, and worked with review teams to diagnose root causes. I developed and maintained more than 200 test reports and defect logs while helping streamline defect triage.

I've also built machine learning and analytics projects, including a brain-tumor SVM model that achieved 94% test accuracy, autonomous-vehicle object detection, Tableau development-indicator visualizations, and glass classification with neural networks.

Experience

Work history, roles, and key accomplishments

LLM Business Analyst

Turing Global India

Sep 2025 - Dec 2025 (3 months)

Analyzed model output quality using structured testing frameworks and collaborated with review teams to diagnose root causes. Developed over 200 test reports and defect logs, and streamlined defect triage processes.

Data Analysis Defect Triage Test Reporting Quality Governance Cross Functional Collaboration

Business Analyst

Zen Data Shastra

Mar 2025 - Mar 2025 (0 months)

Leveraged advanced SQL and Excel VBA to deliver precise reporting solutions and streamline processes. Developed interactive dashboards using Tableau and Power BI, and analyzed large datasets to extract actionable business insights.

SQL Python Tableau Power BI Excel VBA Data Analysis MIS Reporting Stakeholder Management

Brain Tumor Analysis Intern

Phoenix Global

Conducted exploratory data analysis and engineered features on medical imaging datasets. Developed and optimized an SVM classification model achieving 94% test accuracy, and implemented an end-to-end machine learning pipeline.

Python scikit learn Pandas NumPy Matplotlib Machine Learning SVM Data Analysis