I'm a data analyst specializing in analyzing website user behavior and driving conversion growth through the effective utilization of Google Analytics 4 (GA4) data. My focus is on understanding the correlation between key events and conversion events, providing actionable insights to improve website performance and increase conversion rates.Key Responsibilities:Event & Conversion Analysis: I meticulously analyze key website events, identifying their impact on conversions and uncovering potential correlations. This includes analyzing user interactions, engagement metrics, and conversion funnels.Correlation & Statistical Significance: I leverage statistical methods to calculate the correlation between various events and conversions, assessing their statistical significance. This helps determine which events directly contribute to conversion success.Audience Segmentation & Targeting: I perform in-depth analysis of audience segments to identify their unique conversion patterns and the impact of different events on their behavior. This allows for targeted marketing strategies and personalized user experiences.Skills & Expertise:GA4 Data Analysis: Proficient in utilizing GA4 to extract, analyze, and interpret data related to user behavior, events, and conversions.Statistical Analysis: Well-versed in statistical concepts and techniques for correlation analysis, hypothesis testing, and significance evaluation.Data Visualization: Experienced in creating compelling data visualizations to effectively communicate insights and findings to stakeholders.

Gather data from various sources such as databases,Use Python to extract and transform raw data into usable formats.Employ SQL queries for data manipulation, aggregation, and filtering.Utilize dbt for data modeling and transformation of data in Snowflake.Develop and maintain dbt models to streamline the analytics workflow.Clearly communicate analytical findings to the team.

I worked with Clickvoyant, Wiseyak’s client in the U.S. on a contract project.I was responsible for the following:• Understanding the business requirement and building out the data and reportinginfrastructure.• Develop ETL and analytics modules using Python and Spark.• Work primarily with Google Analytics data, write scripts to extract dimensions andmetrics from the Google Analytics API, load in Amazon S3 and then perform datatransformation using pySpark and SQL.• Explore data to find the hidden patterns, extract insights and construct data in JSONformat for transmission to the frontend via REST API.• Perform data transformation and manipulation and create final datasets to performanalytics on. Create reports and visualization like line chart, bar graph, density tableand heat map based on client’s requirements.

I worked under the supervision of Prof. Suresh Shrestha where I worked on projects like Customer Churn prediction and analyzing Google Data Analytics for purchase prediction.I was also responsible for mentoring data science/engineering interns within the team.

- Responsible to assist Calculus Professor in his class.- Collect and check homework, prepare questions for class quiz and assignments. - Provide students with tutorial class on some chapters.

Developing, maintaining, and improving websites using the Magento platform, which is a popular open-source e-commerce platform. Key Responsibilities:Custom Module Development: Creating custom modules to add new functionalities to Magento stores. This involves understanding the Magento framework, PHP programming, and object-oriented programming principles.Integrating various APIs (Application Programming Interfaces) for payment processing, shipping, inventory management, etc. This involves understanding web services (REST, SOAP) and working with JSON or XML data formats.