About

Anal Parikh is a Consultant (Analytics & Cognitive) at Deloitte with over 5 years of experience in IT Systems Engineering Operations & Infrastructure. She has extensive experience in Python automation, Spark, Data Analysis using Tableau and Power BI tools, and implementing GDPR architecture for Insurance firms. In her previous role as a Python/ETL Developer at TCS, Anal worked alongside agile development teams to improve the completeness, accuracy, and timeliness of datasets. She developed test cases and SQL test scripts based on the detail data design, functional design, and ETL specification. Anal also performed exploratory data analysis on large data sets from disparate sources, generated and tested working hypotheses, and uncovered interesting trends and relationships using Tableau. She created dashboards for visualization of complex data using Tableau, Python, R, Advanced Excel, and SQL queries. Anal has worked on automation solutions and reports using Pandas, NumPy, Matplotlib, Stored procedure, SQL to reduce manual efforts. She has also worked on a database age-based treatment framework using PySpark, Hive, and AWS. Anal improved the existing reporting dashboard and the functionality of the planning tool, reducing data processing by 95%. She has knowledge of AWS: S3, EC2, DB: Oracle, Postgres, Hive, and worked on DevOps tools (Jenkins/ Bitbucket) and scheduling tools: Airflow, Tivoli Workload Schedule (TWS). Anal holds a Bachelor's degree in Information Technology from Nirma University, Ahmedabad, Gujarat, India. Her TechStack includes AWS, SQL, Python, ETL, test, Spark, Data Engineering, Apache Hive, Apache Airflow, Pandas, Jenkins, DevOps, and Postgres. With relevant experience of 6.43 years, Anal is a skilled professional who has successfully delivered projects in the IT industry. Her expertise in Python automation, Spark, and data analysis using Tableau and Power BI tools makes her a valuable asset to any organization.