Conducted in-depth analysis and interpretation of extensive datasets within the HPCC cluster, an open-source Big Data analytics platform, utilizing ECL language for scalable analytics, aligning with the requirement to interpret large datasets. Improved model performance through design modifications and tuning, increasing functionality by 15% Led the extraction of BMW China website data using Selenium & Beautiful Soup, translated Chinese to English with Google Translate API & implemented data modeling for structured storage in Excel, managing a dataset of 5,000+ records. Successfully migrated on-premises models to Azure cloud, streamlining processes with automated Azure Pipelines on ADF. Integrated Azure Databricks with ADF pipelines for efficient data extraction and loading, ensuring proper governance of data sources and data quality, showcasing expertise in re-designing data ingestion processes for greater scalability. Improved efficiency with Python and PySpark automation, matching the need for automated processes and detailed project documentation in Confluence for future reference using Agile Methodology. Currently leading PySpark technology initiatives, debugging and enhancing existing code to trigger ADF pipelines for data transformations, SQL loads, and delivering final output to the Power BI team. Demonstrated a strong system problem-solving approach and a sense of ownership and drive in project execution.

NSS is a Government Sponsored organization for which I was selected in 2019.Worked on various social tasks which contribute to making this society a better place to live.Organized a blood donation camp at our campus after tying up with a hospital and received a Letter of appreciation for management and leadership skills.Spreaded awareness about staying indoors during covid times and was a volunteer at my nearest vaccination center.

Learnt how to communicate with people effectively ang get things done.Increased my network due to engaging with lots of people.