Younis Shaik

Senior Analyst with 4+ years partnering with product, engineering, and business teams at fast-moving, product-driven organizations to turn complex data into decisions that ship. Built and scaled a real-time data-logging platform on Google AppSheet to 50+ engineers, cutting manual data entry process by 99% and saving 15+ hours weekly. Skilled in SQL (CTEs, window functions), Python (Pandas, NumPy), Power BI (DAX), and Tableau, with a track record of turning fragmented, high-volume data into KPI-driven dashboards and decisions leadership acts on

Data & Business Analytics Consultant (Freelance) at Self-employed (2025-05 – 2026-07)

• Consulted with multiple business owners to understand business needs and transform manual processes into scalable, data-driven solutions using Google AppSheet, Looker Studio, and Google Apps Script
• Developed automated dashboards and reporting systems that enabled stakeholders to monitor key business metrics, improve operational visibility, and reduce time spent on manual reporting
• Managed the complete solution lifecycle, including requirements gathering, workflow design, implementation, user training, and post-deployment support, ensuring successful adoption across client team

Senior Data Analyst at River Mobility (2024-07 – 2025-02)

• Designed and deployed a Google AppSheet mobile app for real-time ride logging — image capture, geo-stamping, and failure tagging — adopted by 50+ engineers company-wide, cutting manual data entry by 99% and saving 15+ hours weekly
• Closed a 2–3 day gap between test completion and engineering analysis by building automated SQL and Python ETL pipelines for raw CAN data, accelerating turnaround by 60%
• Equipped engineering and product teams with real-time Power BI and Looker Studio dashboards tracking vehicle performance and testing KPIs, replacing gut-feel calls with data-backed decisions
• Defined and owned product KPIs with engineering and product leadership, establishing self-serve reporting that reduced ad-hoc requests and gave teams ownership of their own metrics

Data Analyst at Ola Electric (2022-02 – 2024-07)

• Resolved a reporting bottleneck causing 2–5 day delays per test cycle by architecting SQL-based automation pipelines, cutting turnaround by 80%
• Engineered bulk CSV automation pipelines (100K+ rows/run) cutting weekly processing from 8 hrs to 45 mins, attaining 90% efficiency gain. Automated 12+ recurring reporting workflows via App Script & Python
• Deployed Power BI and Looker Studio dashboards tracking 25+ KPIs across 50+ stakeholders, establishing the primary reporting layer for Testing and Product teams
• Identified warranty failure patterns through root-cause analysis of vehicle telemetry and component data, uncovering cost-optimization opportunities that lowered claim rates

Bachelor of Engineering in Computer Science – Shivaji University (2016 – 2020)