Welcome to my projects portfolio! Here, I document a summary of my projects in the data field.
- [Data Engineering]
- [Data Modeling]
- [SQL]
- [Customer Analytics]
- [PowerBI]
- [Other Sources]
Project Details | Tools | Project Description |
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Design and implement an end-to-end data pipeline using Azure Synapse Analytics. | SQL, Azure Synapse Analytics, Spark notebooks, Synapse Link, Cosmos DB, PowerBI | The details of this projects includes the ingestion and transformation of data through Serverless SQL Pool and Spark Pool. Key steps involve the creation of dedicated SQL pools and Spark pools, loading data into dedicated SQL Pool, generating SQL scripts and Spark notebooks within Azure Synapse Analytics, enabling Synapse Link and Analytic Store in Cosmos DB, executing scripts and notebooks using Synapse Pipelines and Triggers, and finally, serving the processed data to Power BI from Serverless SQL Pool and Dedicated SQL Pool. |
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Project Details | Language & Tools | Project Description |
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Event Journey | Python, Google Colab | Analyze trajectory taken by users from one event to the another |
User Journey | Python, Google Colab | Analyze path taken by users |
User Segments | Python, Google Colab | Grouping users based on their naturally occurring behaviour |
Conversion Funnels | Python, Google Colab | Analyze how many users sequentially go through specific events (funnel stages) in their paths |
Cohorts | Python, Google Colab | Visualize trends of user behavior over time, isolating the impact of different interventions on different groups of users |
Project Details | Language & Tools | Project Description |
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Survival Analysis | Python, Google Colab | Understanding factors leading to customer churn |
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