Parth Rupavatiya

Developed and designed interactive Tableau dashboards for internal audit teams, streamlining case investigations and enhancing decision-making efficiency.
Created key performance indicators (KPIs) on Codex using Spark and Python, optimizing data preparation for visualization and improving analytical accuracy.
Collaborated with cross-functional teams to refine data pipelines, enhancing data integrity and report reliability.

Developed and designed interactive Tableau dashboards for internal audit teams, streamlining case investigations and enhancing decision-making efficiency., Created key performance indicators (KPIs) on Codex using Spark and Python, optimizing data preparation for visualization and improving analytical accuracy., Collaborated with cross-functional teams to refine data pipelines, enhancing data integrity and report reliability.

Developed and refined SQL queries for analyzing large-scale datasets, improving reporting efficiency by 30%.
Designed over 10 interactive dashboards in Domo and Tableau, providing real-time business metric insights to stakeholders and facilitating strategic decision-making.
Integrated Python for data manipulation and automated reporting, reducing manual tasks by 40%.
Worked on big data platform, contributing to scalable data solutions, and ensuring high data quality across various business functions.

Engineered advanced data analytics solutions using Python and SQL, enhancing data accuracy by 25%, and produced interactive dashboards with Tableau, streamlining reporting with Excel.
Optimized Python scripts to scrape, clean and analyse 2M+ customer reviews and extracted insights that guided product improvements and increased average rating by 0.5 stars.
Created 3+ machine learning and natural language processing models in Jupyter Notebook using Python.

Created dashboards and ETL solutions using Domo BI tool, resulting in a 3.5x increase in data processing efficiency and a 5% increase in accuracy compared to the previous process, leveraging SQL for data extraction and transformation.
Improved productivity by automating ETL processes for supply chain and new product development data with Python, reducing manual work by 50%.
Communicated directly with over 6 clients to understand their requirements, utilizing data analysis techniques to devise effective approaches that met their needs.
Enhanced the performance of dashboards by 10% for an American retailer through SQL and Python integration in Domo, significantly increasing the company’s ability to perform real-time analysis and track key metrics.
Streamlined and standardized the technical documentation process, resulting in a 30% improvement in clarity and comprehension among cross-functional teams.

Developed and refined SQL queries for analyzing large-scale datasets, improving reporting efficiency by 30%., Designed over 10 interactive dashboards in Domo and Tableau, providing real-time business metric insights to stakeholders and facilitating strategic decision-making., Integrated Python for data manipulation and automated reporting, reducing manual tasks by 40%., Worked on big data platform, contributing to scalable data solutions, and ensuring high data quality across various business functions.

Created dashboards and ETL solutions using Domo BI tool, resulting in a 3.5x increase in data processing efficiency and a 5% increase in accuracy compared to the previous process, leveraging SQL for data extraction and transformation., Improved productivity by automating ETL processes for supply chain and new product development data with Python, reducing manual work by 50%., Communicated directly with over 6 clients to understand their requirements, utilizing data analysis techniques to devise effective approaches that met their needs., Enhanced the performance of dashboards by 10% for an American retailer through SQL and Python integration in Domo, significantly increasing the company’s ability to perform real-time analysis and track key metrics., Streamlined and standardized the technical documentation process, resulting in a 30% improvement in clarity and comprehension among cross-functional teams.

Engineered advanced data analytics solutions using Python and SQL, enhancing data accuracy by 25%, and produced interactive dashboards with Tableau, streamlining reporting with Excel., Optimized Python scripts to scrape, clean and analyse 2M+ customer reviews and extracted insights that guided product improvements and increased average rating by 0.5 stars., Created 3+ machine learning and natural language processing models in Jupyter Notebook using Python.