Data Visualization and Cleaning - Zomato
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Summary
Developed a comprehensive data visualization and cleaning project for Zomato, transforming raw data into actionable insights on restaurant performance and customer preferences.
About
Highly analytical Data Engineer with a strong academic foundation in Artificial Intelligence and Data Science, proficient in Python, SQL, and ETL processes. Proven ability to design, build, and optimize data pipelines for warehouse analytics, utilizing AWS S3, Snowflake, and DBT. Eager to leverage expertise in data cleaning, transformation, and visualization to drive data-driven insights and operational efficiency in a dynamic environment.
Work
Education
Nitte Meenakshi Institute of Technology
Bangalore, Karnataka, India
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B.E
Artificial Intelligence and Data Science
Grade: 7.25 CGPA
Skills
Programming Languages
Python, Pandas, NumPy, PySpark, Scala, C++.
Data Engineering & ETL
SQL, PostgreSQL, MySQL, ETL Pipelines, Query Optimization, DBT, Data Warehousing.
Big Data & Cloud
Spark, Hadoop (HDFS, Hive, HBase), Snowflake, AWS S3, GCP.
CI/CD & DevOps
Git, GitHub, Docker.
Data Visualization
Power BI, Excel Dashboards.
Projects
Modern Data Pipeline using AWS S3, Snowflake, and DBT
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Summary
Designed and implemented a robust end-to-end data pipeline for warehouse analytics, leveraging AWS S3, Snowflake, and DBT to process a 20M+ record MovieLens dataset.
Lung Cancer Prediction
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Summary
Developed predictive models for lung cancer using Python and Scikit-learn, analyzing patient attributes to provide insights for proactive healthcare.