Prateek Shrivastava

I am a highly ambitious and diligent data analyst, driven by a logical and pragmatic approach to problem-solving. My focus is on mastering efficient data pipelines and leveraging resourcefulness to extract actionable insights, ensuring robust and impactful analytics.

Experience

Data Analyst

Filo · Sep 2025 – Present

Not yet confirmed

• I am a Data Analyst Intern with hands-on experience in building scalable data pipelines, optimizing SQL queries, and extracting insights from large datasets.
• At Filo Edtech, I worked extensively with Google Cloud BigQuery to process 50,000+ daily user events, improving query performance by 40% and enabling faster decision-making.
• I have developed automated web scraping solutions using Selenium, Playwright, and Puppeteer to collect and process data across 300+ universities, significantly enhancing data quality and efficiency.
• My work also involved analyzing user engagement funnels, identifying drop-offs, and implementing data-driven strategies that improved conversion rates by 12%.
• Additionally, I contributed to scaling a product from 300 to 840 universities by building automated workflows and leveraging OCR and Vision APIs to process 15,000+ documents with high accuracy.
• I’m passionate about using data to solve real-world problems and continuously improving systems through analytics and automation.

F

Data Analyst Intern - Data Pipelines, SQL, Analytics (Metabase)

Filo Edtech · Sep 2025 – Present

Not yet confirmed

• Resolved critical LaTeX rendering issues in the MCQ database, ensuring accurate mathematical notation display across 500+ questions and improving student learning experience by eliminating formatting errors.
• Built end-to-end data workflows for scraping, preprocessing, and analysis using Google Cloud BigQuery, processing 50,000+ real-time user login events daily and reducing query execution time by 40% through optimized SQL queries.
• Created modular scripts for large-scale data collection using Selenium, Playwright, and Puppeteer for web scraping, improving data quality and acquisition speed across 300+ universities.
• Analyzed weekly funnel metrics tracking student engagement from page visits to subscriptions, identifying a 25% drop-off and implementing interventions that improved conversion rates by 12%
• Scaled Previous Year Paper product from 300 to 840 universities (180% growth) through automated workflows, processing 15,000+ exam papers using Vision API and OCR with 95% accuracy.