Transforming data into actionable insights • Building scalable pipelines • Learning Data Engineering & Gen AI
I'm a Marketing Data Analyst at Pluralsight India with deep expertise in Snowflake, Python, SQL, and Tableau. I specialize in building scalable data pipelines and transforming complex data into actionable insights.
Currently managing 30+ dashboards tracking $9.4M in ad spend, 622M impressions, and a $70M ARR business. I've automated workflows with Python + Snowflake, turning manual processes into efficient data pipelines.
While I'm actively learning Data Engineering technologies (Databricks, DBT, Azure Cloud, PySpark) and Generative AI, I'm equally proficient and open to Data Analyst and Business Analyst roles.
Highlights from my work at Pluralsight India
Comprehensive tracking of $9.4M spend, 622M impressions, and 7.7M clicks across marketing campaigns.
Created 2.2M targeted audience lists achieving 3x-4x performance improvement in campaign effectiveness.
Managed dashboard tracking $70M ARR business with comprehensive revenue analytics and forecasting.
Built diagnostic dashboard tracking $12.05M pipeline with real-time performance monitoring.
Developed customer retention and lifetime value models to optimize marketing strategies and reduce churn.
Automated workflows with Python + Snowflake, transforming manual processes into efficient data pipelines.
Current expertise and actively learning modern data engineering stack
Managing 30+ dashboards tracking $9.4M spend, 622M impressions, and $70M ARR business. Built data pipelines with Python + Snowflake, automated workflows, and created comprehensive analytics solutions.
Delivered retail client case studies using RFM analysis and Uplift modeling. Enhanced business development through data-driven insights and visualization.
Built CRM data pipelines, automated interface jobs with Python, and performed root cause analysis for Veeva CRM platform.
Full-stack Gen AI application with React frontend, Python backend, user authentication, and real-time analytics. Features AI-powered quiz and meme generation.
Viral meme generator with Google OAuth, drag-and-drop editing, comments, and leaderboards. Built with Flask and deployed on PythonAnywhere.
ML classification system predicting APS failures using ensemble methods including KNN, Random Forest, and XGBoost.
Classification model for semiconductor wafer faults. Achieved 24% productivity increase through ML-driven optimization.
Voice-controlled personal assistant with natural language processing and task automation.
Web scraping tool using Selenium to track product prices and deals from Amazon.
Open to Data Engineer, Data Analyst, Business Analyst roles, and freelance opportunities
Get a detailed overview of my experience, skills, and achievements
Download Resume (PDF)