Data Analyst
CurrentUtilized the Waterfall methodology of development for Requirements, Planning, Design,and Deployment.• Created interactive dashboards in Tableau to visualize key performance indicators and track progress towards organizational goals.• Designs, develops, and maintains data pipelines, ETL processes, and data models within Snowflake.• Implemented SpaCy dictionaries to structure and rank campaign similarities, providing machine learning solutions for language and text analysis.This involved designing, building, and deploying models for millions of unstructured keyword datasets assigned to campaigns.• Executing advanced SQL queries and stored procedures to access and analyze data fromthe relational database for data modeling andreporting.• Utilizes Snowflake for querying, analyzing, and deriving insights from data stored in the Snowflake data warehouse.• Creates and executes complex SQL queries, performs statistical analysis, and builds machine learning models using Snowflake data.• Conducted A/B tests and hypothesis testing to drive data-driven decision-making, leading to a 15% improvement in conversion rates.• Created clear Power Point with data visualization results from R and Tableau andpresented to customer service team.• Wrote calculated columns, Measures query's using DAX in Power BI to show good data analysis techniques.• Statistical analysis of clinical data to obtain the required results.• Used statistical methods, metrics, quantitative methods, and strategic project plans for data collection and later given the responsibility tovalidate the data integrity using SQL queries