Experience

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  Ieee apsit

  May 2020 - Apr 2021

  Technical team

  • Managed several webinars & events with the team such as, Coder’s week, Talk Series, Women in Lead (IEEE WIE) as technical lead

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  Apsit skills

  Sept 2020 - Nov 2020

  Intern

  •Developed a Machine Learning project to precisely predict or forecast the sales of a retail corporation (Walmart Dataset). Used a dataset, containing weekly sales data for 45 stores and 99 departments for a period of 3 years.• Using Machine Learning models such as Linear Regression, K-Neighbors Regressor & XGBoost Regressor, concluded random forest has better accuracy of 85%. Technology Used: numpy, pandas, matplotlib, scikit-learn.

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  The sparks foundation

  Apr 2021 - May 2021

  Data science and business analytics intern

  • Performed data mining and data visualization for 5 valuable insights for real estate firm. Conducted exploratory data analysis and discovered notable relationships using Machine Learning (ML) tools numpy & pandas.• Organized and analyzed data & marketing results using visualization ML tools like matplotlib and seaborn.

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  Tata consultancy services

  Jul 2022 - now

  ● Working in the capacity of Change Management Developer for a large private insurance company (General Insurance as a sub-vertical), as the client. ● My responsibilities were – to assist in business requirement analysis for the change (CR), to create the corresponding technical requirement document, construction of the required change in the product, SIT & UAT support, defect analysis & resolution and liaising with end-customer for UAT closure of the same.● Designed and developed products in insurance vertical and integrated those with existing platforms as per client requirement. Also performed Unit testing on those developmento In all, dealt with 10+ large/medium CRs and resolution of 50+ defects in the system Show less

  • System Engineer

    Jan 2024 - now

  • Assistant System Engineer

    Jul 2022 - Jan 2024