Experience

Indian Institute of Chemical Engineers

• Non-profit Organizations
• 1 - 100 Employee

• • Jul 2021 - Present

• • Sep 2020 - Jul 2021



PCBL Limited

• India
• Chemical Manufacturing
• 700 & Above Employee

• Summer Internship

  • Jun 2022 - Jul 2022

  Data analysis and visualisation of the dependency of carbon black product quality on various KPI's like volatile content, moisture content, air temperature, ash content etc. Analyzing the effect of different parameters on the yield of Carbon Black and presented to the leads and manager through dashboards tableau Data analysis and visualisation of the dependency of carbon black product quality on various KPI's like volatile content, moisture content, air temperature, ash content etc. Analyzing the effect of different parameters on the yield of Carbon Black and presented to the leads and manager through dashboards tableau



ANZ

• Australia
• Banking
• 700 & Above Employee

• Intern

  • Mar 2022 - Apr 2022

  Segmented the dataset and drawn unique insights, including visualisation of the transaction volume and assessing the effect of any outliers. Explored correlations between customer attributes, build a regression and a decision-tree prediction model based on the findings. Segmented the dataset and drawn unique insights, including visualisation of the transaction volume and assessing the effect of any outliers. Explored correlations between customer attributes, build a regression and a decision-tree prediction model based on the findings.



KPMG India

• India
• Business Consulting and Services
• 700 & Above Employee

• Intern

  • Feb 2022 - Mar 2022

  Assessment of data quality and completness in preparation for analysis. Understanding the data distributions, feature engineering, data transformations, modelling ,results interpretation , reporting and presented in the form of PPT to the leading manager. Develop a dashboard tableau for showing the data summary and results of the analysis. Assessment of data quality and completness in preparation for analysis. Understanding the data distributions, feature engineering, data transformations, modelling ,results interpretation , reporting and presented in the form of PPT to the leading manager. Develop a dashboard tableau for showing the data summary and results of the analysis.